Stem kernel$ (all stems)

640 papers:

DATE-2015-GiefersPH #kernel

Accelerating arithmetic kernels with coherent attached FPGA coprocessors (HG, RP, CH), pp. 1072–1077.

SIGMOD-2015-HeimelKM #estimation #kernel #modelling #multi #self

Self-Tuning, GPU-Accelerated Kernel Density Models for Multidimensional Selectivity Estimation (MH, MK, VM), pp. 1477–1492.

PLDI-2015-MendisBWKRPZA #domain-specific language #kernel #named

Helium: lifting high-performance stencil kernels from stripped x86 binaries to halide DSL code (CM, JB, KW, SK, JRK, SP, QZ, SPA), pp. 391–402.

ICALP-v1-2015-GiannopoulouJLS #complexity #kernel

Uniform Kernelization Complexity of Hitting Forbidden Minors (ACG, BMPJ, DL, SS), pp. 629–641.

FM-2015-LiuH #analysis #android #case study #kernel #security

Case Study: Static Security Analysis of the Android Goldfish Kernel (TL, RH), pp. 589–592.

DHM-EH-2015-BoZDYWF #hybrid #kernel #performance #recognition #using

Hybrid BFO-PSO and Kernel FCM for the Recognition of Pilot Performance Influenced by Simulator Movement Using Diffusion Maps (JB, YBZ, LD, BTY, QW, SF), pp. 239–247.

ICML-2015-Bai0ZH #graph #kernel

An Aligned Subtree Kernel for Weighted Graphs (LB, LR, ZZ, ERH), pp. 30–39.

ICML-2015-GiguereRLM #algorithm #kernel #predict #problem #string

Algorithms for the Hard Pre-Image Problem of String Kernels and the General Problem of String Prediction (SG, AR, FL, MM), pp. 2021–2029.

ICML-2015-JiaoV #kernel #permutation

The Kendall and Mallows Kernels for Permutations (YJ, JPV), pp. 1935–1944.

ICML-2015-WilsonN #kernel #process #scalability

Kernel Interpolation for Scalable Structured Gaussian Processes (KISS-GP) (AGW, HN), pp. 1775–1784.

KDD-2015-ChaoHZ #analysis #kernel

Optimal Kernel Group Transformation for Exploratory Regression Analysis and Graphics (PC, QH, MZ), pp. 905–914.

KDD-2015-MarchXTYB #approximate #kernel #robust

Robust Treecode Approximation for Kernel Machines (WBM, BX, ST, CDY, GB), pp. 775–784.

KDD-2015-YanardagV #graph #kernel

Deep Graph Kernels (PY, SVNV), pp. 1365–1374.

KDD-2015-ZhengP #fault #kernel #scalability

L∞ Error and Bandwidth Selection for Kernel Density Estimates of Large Data (YZ, JMP), pp. 1533–1542.

KDD-2015-ZhouM #approach #kernel #predict

Predicting Ambulance Demand: a Spatio-Temporal Kernel Approach (ZZ, DSM), pp. 2297–2303.

MLDM-2015-TanGZ #incremental #kernel #named

IKLTSA: An Incremental Kernel LTSA Method (CT, JG, SZ), pp. 70–83.

SAC-2015-FerreiraMME #analysis #comparison #kernel #memory management

An experimental comparison analysis of kernel-level memory allocators (TBF, RM, AM, BEC), pp. 2054–2059.

ESEC-FSE-2015-DovgalyukDM #debugging #kernel

Don’t panic: reverse debugging of kernel drivers (PD, DD, VM), pp. 938–941.

ICSE-v2-2015-Salgado #behaviour #cpu #gpu #interactive #kernel #profiling

Profiling Kernels Behavior to Improve CPU / GPU Interactions (RS), pp. 754–756.

ASPLOS-2015-DautenhahnKDCA #architecture #kernel #operating system

Nested Kernel: An Operating System Architecture for Intra-Kernel Privilege Separation (ND, TK, WD, JC, VSA), pp. 191–206.

CGO-2015-JiaoLHM #concurrent #energy #execution #kernel

Improving GPGPU energy-efficiency through concurrent kernel execution and DVFS (QJ, ML, HPH, TM), pp. 1–11.

HPDC-2015-HaleD #kernel #operating system #parallel

A Case for Transforming Parallel Runtimes Into Operating System Kernels (KCH, PAD), pp. 27–32.

HPDC-2015-OuyangKLP #kernel #lightweight #performance

Achieving Performance Isolation with Lightweight Co-Kernels (JO, BK, JRL, KTP), pp. 149–160.

HPDC-2015-WahibM #automation #gpu #kernel #scalability

Automated GPU Kernel Transformations in Large-Scale Production Stencil Applications (MW, NM), pp. 259–270.

LCTES-2015-0001HL #analysis #kernel #realtime

Cross-Kernel Control-Flow-Graph Analysis for Event-Driven Real-Time Systems (CD, MH, DL), p. 10.

PPoPP-2015-AshariTBRCKS #kernel #machine learning #on the #optimisation

On optimizing machine learning workloads via kernel fusion (AA, ST, MB, BR, KC, JK, PS), pp. 173–182.

ASE-2014-AbalBW #analysis #debugging #kernel #linux #variability

42 variability bugs in the linux kernel: a qualitative analysis (IA, CB, AW), pp. 421–432.

MSR-2014-PassosC #dataset #feature model #kernel #linux

A dataset of feature additions and feature removals from the Linux kernel (LTP, KC), pp. 376–379.

CIAA-2014-Roche-LimaDF #automaton #kernel

Pairwise Rational Kernels Obtained by Automaton Operations (ARL, MD, BF), pp. 332–345.

LATA-2014-BellaouarCZ #kernel #performance #sequence #string

Efficient List-Based Computation of the String Subsequence Kernel (SB, HC, DZ), pp. 138–148.

CSCW-2014-Ribes14a #framework #kernel #research

The kernel of a research infrastructure (DR), pp. 574–587.

AdaEurope-2014-SaezC #kernel #predict #realtime

Integrated Schedulers for a Predictable Interrupt Management on Real-Time Kernels (SS, AC), pp. 134–148.

CIKM-2014-AnnesiCB #composition #kernel #semantics

Semantic Compositionality in Tree Kernels (PA, DC, RB), pp. 1029–1038.

ECIR-2014-FiliceCCB #effectiveness #kernel #learning #online

Effective Kernelized Online Learning in Language Processing Tasks (SF, GC, DC, RB), pp. 347–358.

ICML-c1-2014-HsiehSD #divide and conquer #kernel

A Divide-and-Conquer Solver for Kernel Support Vector Machines (CJH, SS, ISD), pp. 566–574.

ICML-c1-2014-IyerNS #bound #convergence #estimation #kernel

Maximum Mean Discrepancy for Class Ratio Estimation: Convergence Bounds and Kernel Selection (AI, SN, SS), pp. 530–538.

ICML-c1-2014-LiuJL #approximate #kernel #performance #using

Efficient Approximation of Cross-Validation for Kernel Methods using Bouligand Influence Function (YL, SJ, SL), pp. 324–332.

ICML-c1-2014-MuandetFSGS #estimation #kernel

Kernel Mean Estimation and Stein Effect (KM, KF, BKS, AG, BS), pp. 10–18.

ICML-c1-2014-RamdasP #kernel

Margins, Kernels and Non-linear Smoothed Perceptrons (AR, JP), pp. 244–252.

ICML-c1-2014-SiHD #approximate #kernel #memory management #performance

Memory Efficient Kernel Approximation (SS, CJH, ISD), pp. 701–709.

ICML-c1-2014-YangSAM #invariant #kernel #monte carlo

Quasi-Monte Carlo Feature Maps for Shift-Invariant Kernels (JY, VS, HA, MWM), pp. 485–493.

ICML-c2-2014-AffandiFAT #kernel #learning #parametricity #process

Learning the Parameters of Determinantal Point Process Kernels (RHA, EBF, RPA, BT), pp. 1224–1232.

ICML-c2-2014-ChwialkowskiG #independence #kernel #process #random

A Kernel Independence Test for Random Processes (KC, AG), pp. 1422–1430.

ICML-c2-2014-GiesenLW #kernel #performance #robust

Robust and Efficient Kernel Hyperparameter Paths with Guarantees (JG, SL, PW), pp. 1296–1304.

ICML-c2-2014-JawanpuriaVN #feature model #kernel #learning #multi #on the

On p-norm Path Following in Multiple Kernel Learning for Non-linear Feature Selection (PJ, MV, JSN), pp. 118–126.

ICML-c2-2014-JohanssonJDB #geometry #graph #kernel #using

Global graph kernels using geometric embeddings (FJ, VJ, DPD, CB), pp. 694–702.

ICML-c2-2014-SejdinovicSGAG #adaptation #kernel

Kernel Adaptive Metropolis-Hastings (DS, HS, MLG, CA, AG), pp. 1665–1673.

ICPR-2014-AzizWH #graph #kernel #using

Graph Characterization Using Wave Kernel Trace (FA, RCW, ERH), pp. 3822–3827.

ICPR-2014-BaiBH #graph #kernel

An Attributed Graph Kernel from the Jensen-Shannon Divergence (LB, HB, ERH), pp. 88–93.

ICPR-2014-BaiRH #kernel #morphism #testing

A Hypergraph Kernel from Isomorphism Tests (LB, PR, ERH), pp. 3880–3885.

ICPR-2014-BauckhageM #analysis #clustering #kernel #web

Kernel Archetypal Analysis for Clustering Web Search Frequency Time Series (CB, KM), pp. 1544–1549.

ICPR-2014-CaoHS #approach #classification #kernel #learning #multi

Optimization-Based Extreme Learning Machine with Multi-kernel Learning Approach for Classification (LlC, WbH, FS), pp. 3564–3569.

ICPR-2014-Cardenas-PenaOCAC #3d #clustering #kernel #representation

A Kernel-Based Representation to Support 3D MRI Unsupervised Clustering (DCP, MOA, AECO, AMÁM, GCD), pp. 3203–3208.

ICPR-2014-DamoulasHBGA #kernel #string

String Kernels for Complex Time-Series: Counting Targets from Sensed Movement (TD, JH, RB, CPG, AA), pp. 4429–4434.

ICPR-2014-GaurHC #design #distance #image #kernel #multi

Design of Multi-kernel Distance Based Hashing with Multiple Objectives for Image Indexing (VG, EH, SC), pp. 2637–2642.

ICPR-2014-GauzereBV #encoding #graph #kernel

Graph Kernel Encoding Substituents’ Relative Positioning (BG, LB, DV), pp. 637–642.

ICPR-2014-GavriilidisT #classification #kernel #random #using

Random Walk Kernel Applications to Classification Using Support Vector Machines (VG, AT), pp. 3898–3903.

ICPR-2014-GiordanoPS #estimation #kernel #modelling #using

Kernel Density Estimation Using Joint Spatial-Color-Depth Data for Background Modeling (DG, SP, CS), pp. 4388–4393.

ICPR-2014-GrenierBV #graph #kernel

A Graph Kernel Incorporating Molecule’s Stereisomerism Information (PAG, LB, DV), pp. 631–636.

ICPR-2014-GuoZLCZ #clustering #kernel #learning #multi

Multiple Kernel Learning Based Multi-view Spectral Clustering (DG, JZ, XL, YC, CZ), pp. 3774–3779.

ICPR-2014-MarteauGR #gesture #kernel #performance #recognition

Down-sampling Coupled to Elastic Kernel Machines for Efficient Recognition of Isolated Gestures (PFM, SG, CR), pp. 363–368.

ICPR-2014-NocetiO #classification #graph #kernel #process

A Spectral Graph Kernel and Its Application to Collective Activities Classification (NN, FO), pp. 3892–3897.

ICPR-2014-OHarneyMRCSCBF #kernel #learning #multi #pseudo

Pseudo-Marginal Bayesian Multiple-Class Multiple-Kernel Learning for Neuroimaging Data (ADO, AM, KR, KC, ABS, AC, CB, MF), pp. 3185–3190.

ICPR-2014-OuyedA #classification #kernel

Feature Relevance for Kernel Logistic Regression and Application to Action Classification (OO, MSA), pp. 1325–1329.

ICPR-2014-PerinaKB #array #classification #kernel #using

Expression Microarray Data Classification Using Counting Grids and Fisher Kernel (AP, MK, MB), pp. 1770–1775.

ICPR-2014-PistocchiCBFC #3d #classification #detection #kernel

Kernelized Structural Classification for 3D Dogs Body Parts Detection (SP, SC, SB, NF, RC), pp. 1993–1998.

ICPR-2014-RozzaMP #graph #kernel #learning #novel

A Novel Graph-Based Fisher Kernel Method for Semi-supervised Learning (AR, MM, AP), pp. 3786–3791.

ICPR-2014-Sahbi #image #kernel

Network-Dependent Image Annotation Based on Explicit Context-Dependent Kernel Maps (HS), pp. 625–630.

ICPR-2014-ScheltenR #estimation #image #kernel #locality #parametricity

Localized Image Blur Removal through Non-parametric Kernel Estimation (KS, SR), pp. 702–707.

KDD-2014-KlosterG #community #detection #kernel

Heat kernel based community detection (KK, DFG), pp. 1386–1395.

KDD-2014-Kushnir #adaptation #kernel #learning

Active-transductive learning with label-adapted kernels (DK), pp. 462–471.

KDD-2014-LichmanS #kernel #modelling

Modeling human location data with mixtures of kernel densities (ML, PS), pp. 35–44.

KDD-2014-SahooHL #kernel #multi #online

Online multiple kernel regression (DS, SCHH, BL), pp. 293–302.

KDIR-2014-SatoNS #classification #kernel #using

A Simple Classification Method for Class Imbalanced Data using the Kernel Mean (YS, KN, AS), pp. 327–334.

SEKE-2014-SatapathyPR #agile #approach #estimation #kernel #using

Story Point Approach based Agile Software Effort Estimation using Various SVR Kernel Methods (SMS, AP, SKR), pp. 304–307.

SIGIR-2014-AnilSS #evolution #kernel #modelling #network #social #using

Modeling evolution of a social network using temporalgraph kernels (AA, NS, SRS), pp. 1051–1054.

OOPSLA-2014-MisailovicCAQR #approximate #kernel #named #optimisation

Chisel: reliability- and accuracy-aware optimization of approximate computational kernels (SM, MC, SA, ZQ, MCR), pp. 309–328.

SAC-2014-JeongLCHP #android #approach #behaviour #kernel #monitoring

A kernel-based monitoring approach for analyzing malicious behavior on Android (YJ, HtL, SC, SH, MP), pp. 1737–1738.

SAC-2014-OliveiraNWB #approach #kernel #named

Ianus: secure and holistic coexistence with kernel extensions — a immune system-inspired approach (DO, JN, NW, MB), pp. 1672–1679.

SAC-2014-OliveiraO #analysis #kernel #linux

Mapping of the synchronization mechanisms of the Linux kernel to the response-time analysis model (DBdO, RSdO), pp. 1543–1544.

SAC-2014-ParkKC #framework #kernel #memory management #online #using

Cooperative kernel: online memory test platform using inter-kernel context switch and memory isolation (HP, DK, JC), pp. 1517–1522.

CGO-2014-PanditG #execution #kernel #multi #source code

Fluidic Kernels: Cooperative Execution of OpenCL Programs on Multiple Heterogeneous Devices (PP, RG), p. 273.

OSDI-2014-0001RB #concurrent #debugging #kernel #named

SKI: Exposing Kernel Concurrency Bugs through Systematic Schedule Exploration (PF, RR, BBB), pp. 415–431.

OSDI-2014-WangLZCT #framework #interpreter #kernel #named

Jitk: A Trustworthy In-Kernel Interpreter Infrastructure (XW, DL, NZ, AC, ZT), pp. 33–47.

OSDI-2014-ZellwegerGKR #kernel #operating system

Decoupling Cores, Kernels, and Operating Systems (GZ, SG, KK, TR), pp. 17–31.

CAV-2014-BardsleyBCCDDKLQ #gpu #kernel #verification

Engineering a Static Verification Tool for GPU Kernels (EB, AB, NC, PC, PD, AFD, JK, DL, SQ), pp. 226–242.

DAC-2013-LinLM #analysis #hybrid #kernel #reachability #verification

Verification of digitally-intensive analog circuits via kernel ridge regression and hybrid reachability analysis (HL, PL, CJM), p. 6.

DAC-2013-PapakonstantinouCHCL #kernel #migration

Throughput-oriented kernel porting onto FPGAs (AP, DC, WmWH, JC, YL), p. 10.

DAC-2013-WangK #control flow #detection #hardware #kernel #named #performance #using

NumChecker: detecting kernel control-flow modifying rootkits by using hardware performance counters (XW, RK), p. 7.

DATE-2013-AliasDP #kernel #optimisation #synthesis

Optimizing remote accesses for offloaded kernels: application to high-level synthesis for FPGA (CA, AD, AP), pp. 575–580.

DATE-2013-ChabrolRDJHOZ #kernel #realtime

Time- and angle-triggered real-time kernel (DC, DR, VD, MJ, MAH, PO, GZ), pp. 1060–1062.

ICDAR-2013-MondalRRP #kernel #locality #performance #retrieval #word

A Fast Word Retrieval Technique Based on Kernelized Locality Sensitive Hashing (TM, NR, JYR, UP), pp. 1195–1199.

ICDAR-2013-ZhangT #documentation #kernel #keyword

Segmentation-Free Keyword Spotting for Handwritten Documents Based on Heat Kernel Signature (XZ, CLT), pp. 827–831.

SIGMOD-2013-ZhengJPL #kernel #performance #quality #scalability

Quality and efficiency for kernel density estimates in large data (YZ, JJ, JMP, FL), pp. 433–444.

ESOP-2013-CollingbourneDKQ #analysis #gpu #kernel #semantics #verification

Interleaving and Lock-Step Semantics for Analysis and Verification of GPU Kernels (PC, AFD, JK, SQ), pp. 270–289.

MSR-2013-JiangAG #case study #how #kernel #linux #performance

Will my patch make it? and how fast?: case study on the Linux kernel (YJ, BA, DMG), pp. 101–110.

PLDI-2013-SewellMK #kernel #validation

Translation validation for a verified OS kernel (TALS, MOM, GK), pp. 471–482.

ICALP-v1-2013-0002LPRRSS #algorithm #kernel #linear

Linear Kernels and Single-Exponential Algorithms via Protrusion Decompositions (EJK, AL, CP, FR, PR, IS, SS), pp. 613–624.

HCI-III-2013-XuGC #classification #kernel #representation

Kernel Based Weighted Group Sparse Representation Classifier (BX, PG, CLPC), pp. 236–245.

HCI-III-2013-YangWC #clustering #fuzzy #image #kernel #segmentation #similarity

Kernel Fuzzy Similarity Measure-Based Spectral Clustering for Image Segmentation (YY, YW, YmC), pp. 246–253.

CIKM-2013-ChanYTDZW #categorisation #classification #community #kernel #topic

Community question topic categorization via hierarchical kernelized classification (WC, WY, JT, JD, XZ, WW), pp. 959–968.

CIKM-2013-HermanssonKJJD #ambiguity #graph #kernel #using

Entity disambiguation in anonymized graphs using graph kernels (LH, TK, FJ, VJ, DPD), pp. 1037–1046.

ICML-c1-2013-AfkanpourGSB #algorithm #kernel #learning #multi #random #scalability

A Randomized Mirror Descent Algorithm for Large Scale Multiple Kernel Learning (AA, AG, CS, MB), pp. 374–382.

ICML-c1-2013-KadriGP #approach #kernel #learning

A Generalized Kernel Approach to Structured Output Learning (HK, MG, PP), pp. 471–479.

ICML-c1-2013-Shin #design #future of #kernel

A New Frontier of Kernel Design for Structured Data (KS), pp. 401–409.

ICML-c2-2013-ChangKKZ #analysis #canonical #correlation #independence #kernel

Canonical Correlation Analysis based on Hilbert-Schmidt Independence Criterion and Centered Kernel Target Alignment (BC, UK, RK, JZ), pp. 316–324.

ICML-c3-2013-0002T #kernel #learning

Differentially Private Learning with Kernels (PJ, AT), pp. 118–126.

ICML-c3-2013-CortesMR #classification #kernel #multi

Multi-Class Classification with Maximum Margin Multiple Kernel (CC, MM, AR), pp. 46–54.

ICML-c3-2013-DuvenaudLGTG #composition #kernel #parametricity

Structure Discovery in Nonparametric Regression through Compositional Kernel Search (DKD, JRL, RBG, JBT, ZG), pp. 1166–1174.

ICML-c3-2013-GonenKK #kernel #matrix

Kernelized Bayesian Matrix Factorization (MG, SAK, SK), pp. 864–872.

ICML-c3-2013-JoseGAV #kernel #learning #performance #predict

Local Deep Kernel Learning for Efficient Non-linear SVM Prediction (CJ, PG, PA, MV), pp. 486–494.

ICML-c3-2013-WilsonA #kernel #process

Gaussian Process Kernels for Pattern Discovery and Extrapolation (AGW, RPA), pp. 1067–1075.

ICML-c3-2013-ZhangYJLH #bound #kernel #learning #online

Online Kernel Learning with a Near Optimal Sparsity Bound (LZ, JY, RJ, ML, XH), pp. 621–629.

ICML-c3-2013-ZhangZWKYM #kernel

Covariate Shift in Hilbert Space: A Solution via Sorrogate Kernels (KZ, VWZ, QW, JTYK, QY, IM), pp. 388–395.

ICML-c3-2013-ZhouZS #kernel #learning #multi #process

Learning Triggering Kernels for Multi-dimensional Hawkes Processes (KZ, HZ, LS), pp. 1301–1309.

KDD-2013-ChenTTY #analysis #kernel #modelling #performance

Model-based kernel for efficient time series analysis (HC, FT, PT, XY), pp. 392–400.

KDD-2013-PhamP #kernel #performance #polynomial #scalability

Fast and scalable polynomial kernels via explicit feature maps (NP, RP), pp. 239–247.

MLDM-2013-OnoderaS #kernel

The Gapped Spectrum Kernel for Support Vector Machines (TO, TS), pp. 1–15.

SIGIR-2013-Moschitti #kernel #learning #rank #semantics

Kernel-based learning to rank with syntactic and semantic structures (AM), p. 1128.

OOPSLA-2013-ChongDKKQ #abstraction #analysis #gpu #invariant #kernel

Barrier invariants: a shared state abstraction for the analysis of data-dependent GPU kernels (NC, AFD, PHJK, JK, SQ), pp. 605–622.

SAC-2013-BaldovinGMV #kernel

Kernel-level time composability for avionics applications (AB, AG, EM, TV), pp. 1552–1554.

SAC-2013-SeelandKP #graph #kernel #learning

Model selection based product kernel learning for regression on graphs (MS, SK, BP), pp. 136–143.

SAC-2013-ShihL #kernel #manycore #named

nuKernel: MicroKernel for multi-core DSP SoCs with load sharing and priority interrupts (CSS, HYL), pp. 1525–1532.

ICSE-2013-XingXJ #benchmark #feature model #kernel #metric #research #scalability

A large scale Linux-kernel based benchmark for feature location research (ZX, YX, SJ), pp. 1311–1314.

SPLC-2013-PassosGTCWB #case study #kernel #linux #modelling #variability

Coevolution of variability models and related artifacts: a case study from the Linux kernel (LTP, JG, LT, KC, AW, PB), pp. 91–100.

ASPLOS-2013-PaiTG #concurrent #kernel

Improving GPGPU concurrency with elastic kernels (SP, MJT, RG), pp. 407–418.

SOSP-2013-KediaB #kernel #performance

Fast dynamic binary translation for the kernel (PK, SB), pp. 101–115.

SOSP-2013-NikolaevB #kernel #named #operating system

VirtuOS: an operating system with kernel virtualization (RN, GB), pp. 116–132.

ASE-2012-BissyandeRLM #automation #debugging #generative #interface #kernel #linux #named

Diagnosys: automatic generation of a debugging interface to the Linux kernel (TFB, LR, JLL, GM), pp. 60–69.

ASE-2012-IbrahimGHA #ambiguity #analysis #kernel #operating system #points-to #using

Supporting operating system kernel data disambiguation using points-to analysis (ASI, JG, JHHH, MA), pp. 234–237.

CASE-2012-ZhuSZZ #assessment #kernel #multi

A novelty degradation assessment method for equipment based on multi-kernel SVDD (YZ, YS, XZ, YZ), pp. 753–756.

DATE-2012-Mancini #kernel #memory management #synthesis

Enhancing non-linear kernels by an optimized memory hierarchy in a High Level Synthesis flow (SM, FR), pp. 1130–1133.

CSMR-2012-MurtazaSHC #comparison #identification #kernel #on the

On the Comparison of User Space and Kernel Space Traces in Identification of Software Anomalies (SSM, AS, AHL, MC), pp. 127–136.

ICPC-2012-JbaraMF #kernel #linux

High-MCC functions in the Linux kernel (AJ, AM, DGF), pp. 83–92.

ICSM-2012-SuvorovNHZA #case study #empirical #kernel #linux

An empirical study of build system migrations in practice: Case studies on KDE and the Linux kernel (RS, MN, AEH, YZ, BA), pp. 160–169.

PLDI-2012-LeungGAGJL #gpu #kernel #verification

Verifying GPU kernels by test amplification (AL, MG, YA, RG, RJ, SL), pp. 383–394.

CIAA-2012-AmarniL #kernel #sequence

Factor and Subsequence Kernels and Signatures of Rational Languages (AA, SL), pp. 313–320.

CIKM-2012-ComarLSNT #detection #kernel #linear

Weighted linear kernel with tree transformed features for malware detection (PMC, LL, SS, AN, PNT), pp. 2287–2290.

ICML-2012-BalakrishnanPL #functional #kernel

Sparse Additive Functional and Kernel CCA (SB, KP, JDL), p. 97.

ICML-2012-CotterSS #kernel #probability

The Kernelized Stochastic Batch Perceptron (AC, SSS, NS), p. 98.

ICML-2012-Gonen #kernel #learning #multi #performance

Bayesian Efficient Multiple Kernel Learning (MG), p. 17.

ICML-2012-HoiWZJW #algorithm #bound #kernel #learning #online #performance #scalability

Fast Bounded Online Gradient Descent Algorithms for Scalable Kernel-Based Online Learning (SCHH, JW, PZ, RJ, PW), p. 141.

ICML-2012-KimuraK #kernel #performance

Fast Computation of Subpath Kernel for Trees (DK, HK), p. 81.

ICML-2012-KriegeM #graph #kernel

Subgraph Matching Kernels for Attributed Graphs (NK, PM), p. 42.

ICML-2012-KumarNKD #classification #framework #kernel #learning #multi

A Binary Classification Framework for Two-Stage Multiple Kernel Learning (AK, ANM, KK, HDI), p. 173.

ICML-2012-PoczosGS #dependence #kernel #metric

Copula-based Kernel Dependency Measures (BP, ZG, JGS), p. 213.

ICML-2012-SejdinovicGSF #kernel #testing #using

Hypothesis testing using pairwise distances and associated kernels (DS, AG, BKS, KF), p. 104.

ICML-2012-SunGS #kernel #on the #online #taxonomy

On the Size of the Online Kernel Sparsification Dictionary (YS, FJG, JS), p. 79.

ICML-2012-YangMJZZ #kernel #learning #multi #probability #programming

Multiple Kernel Learning from Noisy Labels by Stochastic Programming (TY, MM, RJ, LZ, YZ), p. 21.

ICML-2012-YuS #analysis #kernel

Analysis of Kernel Mean Matching under Covariate Shift (YY, CS), p. 150.

ICML-2012-ZanzottoD #distributed #kernel

Distributed Tree Kernels (FMZ, LD), p. 20.

ICPR-2012-0007B #classification #feature model #image #kernel #multi

Multiple local kernel integrated feature selection for image classification (YS, BB), pp. 2230–2233.

ICPR-2012-AtmosukartoGA #kernel #recognition #representation

Trajectory-based Fisher kernel representation for action recognition in videos (IA, BG, NA), pp. 3333–3336.

ICPR-2012-BaiHR #graph #kernel #using

Jensen-Shannon graph kernel using information functionals (LB, ERH, PR), pp. 2877–2880.

ICPR-2012-BanerjeeN #kernel #learning #multi #process #recognition #using

Pose based activity recognition using Multiple Kernel learning (PB, RN), pp. 445–448.

ICPR-2012-BougleuxDBGM #combinator #kernel #similarity

Shape similarity based on combinatorial maps and a tree pattern kernel (SB, FXD, LB, BG, MM), pp. 1602–1605.

ICPR-2012-ChandraJ #kernel #sequence #video

Partial Least Squares kernel for computing similarities between video sequences (SC, CVJ), pp. 513–516.

ICPR-2012-ChengYLL #categorisation #kernel #nearest neighbour

A Pyramid Nearest Neighbor Search Kernel for object categorization (HC, RY, ZL, YL), pp. 2809–2812.

ICPR-2012-ChoKKA #detection #kernel

Bilateral kernel-based Region Detector (WC, SYK, AK, MAA), pp. 750–753.

ICPR-2012-DuttaGLBP #documentation #graph #kernel #random #visual notation

Combination of product graph and random walk kernel for symbol spotting in graphical documents (AD, JG, JL, HB, UP), pp. 1663–1666.

ICPR-2012-El-GaalyT #kernel #multi #recognition #using

RGBD object pose recognition using local-global multi-kernel regression (TEG, MT), pp. 2468–2471.

ICPR-2012-FausserS #clustering #dataset #kernel #scalability

Clustering large datasets with kernel methods (SF, FS), pp. 501–504.

ICPR-2012-FreytagFRD #kernel #performance #process #segmentation #semantics

Efficient semantic segmentation with Gaussian processes and histogram intersection kernels (AF, BF, ER, JD), pp. 3313–3316.

ICPR-2012-GaoM #analysis #canonical #correlation #detection #kernel #multi #using

Multi-modality movie scene detection using Kernel Canonical Correlation Analysis (GG, HM), pp. 3074–3077.

ICPR-2012-GauzereBVB #graph #kernel

Graph kernels based on relevant patterns and cycle information for chemoinformatics (BG, LB, DV, MB), pp. 1775–1778.

ICPR-2012-Havens #approximate #kernel #streaming

Approximation of kernel k-means for streaming data (TCH), pp. 509–512.

ICPR-2012-HinoO #kernel #learning #multi

An improved entropy-based multiple kernel learning (HH, TO), pp. 1189–1192.

ICPR-2012-HuangLC #clustering #feature model #kernel #multi #self

Cluster-dependent feature selection by multiple kernel self-organizing map (KCH, YYL, JZC), pp. 589–592.

ICPR-2012-IsmaeilAO #evaluation #exponential #kernel

Bilateral filter evaluation based on exponential kernels (KAI, DA, BEO), pp. 258–261.

ICPR-2012-KangLXP #classification #kernel #representation

Kernel Homotopy based sparse representation for object classification (CK, SL, SX, CP), pp. 1479–1482.

ICPR-2012-LiCHWM #3d #kernel #learning #multi #recognition

3D facial expression recognition via multiple kernel learning of Multi-Scale Local Normal Patterns (HL, LC, DH, YW, JMM), pp. 2577–2580.

ICPR-2012-LiuF #analysis #kernel #multi

Multiple kernel discriminant analysis (XZL, GCF), pp. 1691–1694.

ICPR-2012-LiuW12a #feature model #kernel

Unsupervised discriminative feature selection in a kernel space via L2, 1-norm minimization (YL, YW), pp. 1205–1208.

ICPR-2012-LuLY #adaptation #classification #kernel #learning

Adaptive kernel learning based on centered alignment for hierarchical classification (YL, JL, JY), pp. 569–572.

ICPR-2012-PanLS #kernel #learning

Learning kernels from labels with ideal regularization (BP, JHL, LS), pp. 505–508.

ICPR-2012-San-BiagioUCCCM #approach #classification #kernel #learning #multi

A multiple kernel learning approach to multi-modal pedestrian classification (MSB, AU, MC, MC, UC, VM), pp. 2412–2415.

ICPR-2012-SchleifZGH #approximate #clustering #kernel #performance #relational

Fast approximated relational and kernel clustering (FMS, XZ, AG, BH), pp. 1229–1232.

ICPR-2012-TiribuziPVR #detection #framework #kernel #learning #multi

A Multiple Kernel Learning framework for detecting altered fingerprints (MT, MP, PV, ER), pp. 3402–3405.

ICPR-2012-WangL #estimation #image #kernel #robust

Robust kernel estimation for single image blind deconvolution (FW, YL), pp. 481–484.

ICPR-2012-XueCH #classification #constraints #kernel

Discriminative indefinite kernel classifier from pairwise constraints and unlabeled data (HX, SC, JH), pp. 497–500.

ICPR-2012-ZhangSSLWTBC #category theory #image #kernel

Spatial graphlet matching kernel for recognizing aerial image categories (LZ, MS, LS, XL, YW, DT, JB, CC), pp. 2813–2816.

ICPR-2012-ZhangWXZL #kernel #recognition

Contextual Fisher kernels for human action recognition (ZZ, CW, BX, WZ, SL), pp. 437–440.

ICPR-2012-ZhengZ #kernel #recognition #speech

Speech emotion recognition based on kernel reduced-rank regression (WZ, XZ), pp. 1972–1976.

ICPR-2012-ZhuW #gesture #kernel #recognition #using

Single-frame hand gesture recognition using color and depth kernel descriptors (XZ, KYKW), pp. 2989–2992.

ICPR-2012-ZhuXWF #kernel #recognition #representation

Kernel based sparse representation for face recognition (QZ, YX, JW, ZF), pp. 1703–1706.

KDD-2012-JainVV #kernel #learning #multi #named

SPF-GMKL: generalized multiple kernel learning with a million kernels (AJ, SVNV, MV), pp. 750–758.

KDD-2012-KuksaP #evaluation #kernel #performance #scalability #sequence

Efficient evaluation of large sequence kernels (PPK, VP), pp. 759–767.

KDD-2012-SeelandKK #clustering #graph #kernel #learning

A structural cluster kernel for learning on graphs (MS, AK, SK), pp. 516–524.

SEKE-2012-VicenteDMM #comprehension #execution #kernel #operating system

Improving Program Comprehension in Operating System Kernels with Execution Trace Information (EV, GD, RM, MdAM), pp. 174–179.

SIGIR-2012-XiaWHJ #image #kernel #multi #retrieval #scalability

Boosting multi-kernel locality-sensitive hashing for scalable image retrieval (HX, PW, SCHH, RJ), pp. 55–64.

OOPSLA-2012-BettsCDQT #gpu #kernel #named #verification

GPUVerify: a verifier for GPU kernels (AB, NC, AFD, SQ, PT), pp. 113–132.

SAC-2012-FahmyRJ #implementation #interface #kernel #linux #programming #realtime #scheduling #thread

Implementing distributable real-time threads in the Linux kernel: programming interface and scheduling support (SFF, BR, EDJ), pp. 1771–1778.

SAC-2012-HanJ #clustering #kernel #linux

Kernel-level ARINC 653 partitioning for Linux (SH, HWJ), pp. 1632–1637.

SAC-2012-HuaS #kernel #lightweight #memory management #named

Barrier: a lightweight hypervisor for protecting kernel integrity via memory isolation (JH, KS), pp. 1470–1477.

SAC-2012-MavrogiannopoulosTP #encryption #framework #kernel #linux

A linux kernel cryptographic framework: decoupling cryptographic keys from applications (NM, MT, BP), pp. 1435–1442.

SAC-2012-MenorPB #kernel #predict #probability #using

Probabilistic prediction of protein phosphorylation sites using kernel machines (MM, GP, KB), pp. 1393–1398.

ASPLOS-2012-FeinerBG #kernel

Comprehensive kernel instrumentation via dynamic binary translation (PF, ADB, AG), pp. 135–146.

CC-2012-UnkuleSQ #automation #gpu #kernel #locality #thread

Automatic Restructuring of GPU Kernels for Exploiting Inter-thread Data Locality (SU, CS, AQ), pp. 21–40.

CGO-2012-KerrDY #compilation #kernel

Dynamic compilation of data-parallel kernels for vector processors (AK, GFD, SY), pp. 23–32.

PPoPP-2012-AliasDP #kernel #optimisation #synthesis

Optimizing remote accesses for offloaded kernels: application to high-level synthesis for FPGA (CA, AD, AP), pp. 285–286.

PPoPP-2012-KimH #code generation #kernel #performance

Efficient SIMD code generation for irregular kernels (SK, HH), pp. 55–64.

PPoPP-2012-TaoBB #development #gpu #kernel #scalability #using

Using GPU’s to accelerate stencil-based computation kernels for the development of large scale scientific applications on heterogeneous systems (JT, MB, SRB), pp. 287–288.

DAC-2011-DellingerGR #kernel #linux #multi #realtime

ChronOS Linux: a best-effort real-time multiprocessor Linux kernel (MD, PG, BR), pp. 474–479.

DATE-2011-Wang #coordination #gpu #kernel #power management

Coordinate strip-mining and kernel fusion to lower power consumption on GPU (GW), pp. 1218–1219.

WCRE-2011-Raber #debugging #kernel #profiling

Stealthy Profiling and Debugging of Malware Trampolining from User to Kernel Space (JR), pp. 431–432.

WCRE-2011-WangLXJ #empirical #information retrieval #kernel #linux #locality #using

Concern Localization using Information Retrieval: An Empirical Study on Linux Kernel (SW, DL, ZX, LJ), pp. 92–96.

PEPM-2011-CaretteES #generative #geometry #kernel

A generative geometric kernel (JC, ME, SS), pp. 53–62.

CIAA-J-2010-AllauzenCM11 #algorithm #coordination #kernel

A Dual Coordinate Descent Algorithm for SVMs Combined with Rational Kernels (CA, CC, MM), pp. 1761–1779.

ICALP-v1-2011-BodlaenderJK #analysis #combinator #kernel #preprocessor

Preprocessing for Treewidth: A Combinatorial Analysis through Kernelization (HLB, BMPJ, SK), pp. 437–448.

SFM-2011-Moschitti #automation #kernel #learning #modelling

Kernel-Based Machines for Abstract and Easy Modeling of Automatic Learning (AM), pp. 458–503.

ICFP-2011-GotsmanY #composition #kernel #verification

Modular verification of preemptive OS kernels (AG, HY), pp. 404–417.

CIKM-2011-CroceMB #dependence #kernel #semantics

Semantic convolution kernels over dependency trees: smoothed partial tree kernel (DC, AM, RB), pp. 2013–2016.

CIKM-2011-LiuLH #bound #fault #kernel #learning

Learning kernels with upper bounds of leave-one-out error (YL, SL, YH), pp. 2205–2208.

CIKM-2011-PimentelCS #clustering #data-driven #database #kernel #metric

A partitioning method for symbolic interval data based on kernelized metric (BAP, AFBFdC, RMCRdS), pp. 2189–2192.

CIKM-2011-XuSPZ #kernel #named #performance

TAKES: a fast method to select features in the kernel space (YX, FS, WP, JZ), pp. 683–692.

ICML-2011-BrouarddS #kernel #predict

Semi-supervised Penalized Output Kernel Regression for Link Prediction (CB, FdB, MS), pp. 593–600.

ICML-2011-CossalterYZ #adaptation #approximate #kernel #predict #scalability

Adaptive Kernel Approximation for Large-Scale Non-Linear SVM Prediction (MC, RY, LZ), pp. 409–416.

ICML-2011-Cuturi #kernel #performance

Fast Global Alignment Kernels (MC), pp. 929–936.

ICML-2011-DinuzzoOGP #coordination #kernel #learning

Learning Output Kernels with Block Coordinate Descent (FD, CSO, PVG, GP), pp. 49–56.

ICML-2011-GermainLLMS #approach #kernel

A PAC-Bayes Sample-compression Approach to Kernel Methods (PG, AL, FL, MM, SS), pp. 297–304.

ICML-2011-HuWC #coordination #kernel #learning #named #parametricity #scalability #using

BCDNPKL: Scalable Non-Parametric Kernel Learning Using Block Coordinate Descent (EH, BW, SC), pp. 209–216.

ICML-2011-JawanpuriaNR #kernel #learning #performance #using

Efficient Rule Ensemble Learning using Hierarchical Kernels (PJ, JSN, GR), pp. 161–168.

ICML-2011-KadriRPDR #functional #kernel

Functional Regularized Least Squares Classication with Operator-valued Kernels (HK, AR, PP, ED, AR), pp. 993–1000.

ICML-2011-KimS #kernel #on the #robust

On the Robustness of Kernel Density M-Estimators (JK, CDS), pp. 697–704.

ICML-2011-Maaten #kernel #learning

Learning Discriminative Fisher Kernels (LvdM), pp. 217–224.

ICML-2011-MachartPARG #kernel #learning #probability #rank

Stochastic Low-Rank Kernel Learning for Regression (PM, TP, SA, LR, HG), pp. 969–976.

ICML-2011-OrabonaL #algorithm #kernel #learning #multi #optimisation

Ultra-Fast Optimization Algorithm for Sparse Multi Kernel Learning (FO, JL), pp. 249–256.

ICML-2011-ShinCK #kernel

Mapping kernels for trees (KS, MC, TK), pp. 961–968.

ICML-2011-TamuzLBSK #adaptation #kernel #learning

Adaptively Learning the Crowd Kernel (OT, CL, SB, OS, AK), pp. 673–680.

ICML-2011-ZhuCX #infinity #kernel #process

Infinite SVM: a Dirichlet Process Mixture of Large-margin Kernel Machines (JZ, NC, EPX), pp. 617–624.

KDD-2011-ChittaJHJ #approximate #clustering #kernel #scalability

Approximate kernel k-means: solution to large scale kernel clustering (RC, RJ, TCH, AKJ), pp. 895–903.

KDD-2011-CotterSK #approach #kernel

A GPU-tailored approach for training kernelized SVMs (AC, NS, JK), pp. 805–813.

MLDM-2011-XuGC #adaptation #kernel #learning #multi

Adaptive Kernel Diverse Density Estimate for Multiple Instance Learning (TX, IG, DKYC), pp. 185–198.

SAC-2011-LeeKY #kernel #linux

Experimenting with system and Libc call interception attacks on ARM-based Linux kernel (HcL, CHK, JHY), pp. 631–632.

SAC-2011-ShimadaKLCN #composition #design #embedded #functional #kernel

Design issues in composition kernels for highly functional embedded systems (HS, YK, THL, AC, TN), pp. 338–345.

ASPLOS-2011-HofmannDKRW #kernel #operating system

Ensuring operating system kernel integrity with OSck (OSH, AMD, SK, IR, EW), pp. 279–290.

LCTES-2011-SahaLM #approach #kernel #linux

An approach to improving the structure of error-handling code in the linux kernel (SS, JLL, GM), pp. 41–50.

SOSP-2011-ErlingssonPPB #clustering #distributed #kernel #named

Fay: extensible distributed tracing from kernels to clusters (ÚE, MP, SP, MB), pp. 311–326.

ICST-2011-RubanovS #kernel #linux #runtime #verification

Runtime Verification of Linux Kernel Modules Based on Call Interception (VVR, EAS), pp. 180–189.

ISSTA-2011-Rubio-GonzalezL #fault #interactive #kernel #linux #pointer

Defective error/pointer interactions in the Linux kernel (CRG, BL), pp. 111–121.

DATE-2010-KhalighR #adaptation #kernel #modelling #parallel #simulation

Modeling constructs and kernel for parallel simulation of accuracy adaptive TLMs (RSK, MR), pp. 1183–1188.

ICSM-2010-CorazzaMMS #approach #clone detection #detection #kernel

A Tree Kernel based approach for clone detection (AC, SDM, VM, GS), pp. 1–5.

CIAA-2010-AllauzenCM #automaton #kernel #scalability

Large-Scale Training of SVMs with Automata Kernels (CA, CC, MM), pp. 17–27.

ICML-2010-BhadraBBB #kernel #matrix #nondeterminism #robust

Robust Formulations for Handling Uncertainty in Kernel Matrices (SB, SB, CB, ABT), pp. 71–78.

ICML-2010-CortesMR #algorithm #kernel #learning

Two-Stage Learning Kernel Algorithms (CC, MM, AR), pp. 239–246.

ICML-2010-CortesMR10a #bound #kernel #learning

Generalization Bounds for Learning Kernels (CC, MM, AR), pp. 247–254.

ICML-2010-CostaG #distance #kernel #performance

Fast Neighborhood Subgraph Pairwise Distance Kernel (FC, KDG), pp. 255–262.

ICML-2010-HueV #kernel #learning #on the

On learning with kernels for unordered pairs (MH, JPV), pp. 463–470.

ICML-2010-XuJYKL #kernel #learning #multi #performance

Simple and Efficient Multiple Kernel Learning by Group Lasso (ZX, RJ, HY, IK, MRL), pp. 1175–1182.

ICPR-2010-AsheriRPR #adaptation #fault #framework #kernel #process

A Gaussian Process Regression Framework for Spatial Error Concealment with Adaptive Kernels (HA, HRR, NP, MHR), pp. 4541–4544.

ICPR-2010-BaghshahS #constraints #kernel #learning #performance

Efficient Kernel Learning from Constraints and Unlabeled Data (MSB, SBS), pp. 3364–3367.

ICPR-2010-BicegoMMAF #2d #kernel #recognition #using

2D Shape Recognition Using Information Theoretic Kernels (MB, AFTM, VM, PMQA, MATF), pp. 25–28.

ICPR-2010-BouboulisTS #image #kernel

Edge Preserving Image Denoising in Reproducing Kernel Hilbert Spaces (PB, ST, KS), pp. 2660–2663.

ICPR-2010-CarliBBM #generative #kernel #modelling

Nonlinear Mappings for Generative Kernels on Latent Variable Models (ACC, MB, SB, VM), pp. 2134–2137.

ICPR-2010-DupeBBLE #kernel

Kernel-Based Implicit Regularization of Structured Objects (FXD, SB, LB, OL, AE), pp. 2142–2145.

ICPR-2010-GaoHLZW #detection #kernel

Local Outlier Detection Based on Kernel Regression (JG, WH, WL, Z(Z, OW), pp. 585–588.

ICPR-2010-GonenA #kernel #locality #multi

Localized Multiple Kernel Regression (MG, EA), pp. 1425–1428.

ICPR-2010-GriptonL #kernel #semistructured data #using

Kernel Domain Description with Incomplete Data: Using Instance-Specific Margins to Avoid Imputation (AG, WL), pp. 2921–2924.

ICPR-2010-HasanbelliuGP #algorithm #kernel #online #recursion

A Recursive Online Kernel PCA Algorithm (EH, LGSG, JCP), pp. 169–172.

ICPR-2010-HassanCG #documentation #image #kernel #retrieval #using

Document Image Retrieval Using Feature Combination in Kernel Space (EH, SC, MG), pp. 2009–2012.

ICPR-2010-HaugeardPG #graph #image #kernel #retrieval #taxonomy

Kernel on Graphs Based on Dictionary of Paths for Image Retrieval (JEH, SPF, PHG), pp. 2965–2968.

ICPR-2010-JhuoL #kernel #learning #multi #recognition

Boosted Multiple Kernel Learning for Scene Category Recognition (IHJ, DTL), pp. 3504–3507.

ICPR-2010-JingLYBY #analysis #kernel

Kernel Uncorrelated Adjacent-class Discriminant Analysis (XYJ, SL, YFY, LSB, JY), pp. 706–709.

ICPR-2010-KristanL #estimation #kernel #online

Online Discriminative Kernel Density Estimation (MK, AL), pp. 581–584.

ICPR-2010-LariosSSMLD #identification #kernel #random

Haar Random Forest Features and SVM Spatial Matching Kernel for Stonefly Species Identification (NL, BS, LGS, GMM, JL, TGD), pp. 2624–2627.

ICPR-2010-LiS #kernel #multi

Nonlinear Combination of Multiple Kernels for Support Vector Machines (JL, SS), pp. 2889–2892.

ICPR-2010-MehmoodN #detection #kernel #using

Anomaly Detection for Longwave FLIR Imagery Using Kernel Wavelet-RX (AM, NMN), pp. 1385–1388.

ICPR-2010-RicciTZ #kernel #learning

Learning Pedestrian Trajectories with Kernels (ER, FT, GZ), pp. 149–152.

ICPR-2010-Sato #classification #design #kernel #learning

A New Learning Formulation for Kernel Classifier Design (AS), pp. 2897–2900.

ICPR-2010-TanakaIKM #fault #kernel

A Relationship Between Generalization Error and Training Samples in Kernel Regressors (AT, HI, MK, MM), pp. 1421–1424.

ICPR-2010-TumaIP #classification #kernel #set #using

Hydroacoustic Signal Classification Using Kernel Functions for Variable Feature Sets (MT, CI, MP), pp. 1011–1014.

ICPR-2010-WangJHT #higher-order #kernel #learning #multi

Multiple Kernel Learning with High Order Kernels (SW, SJ, QH, QT), pp. 2138–2141.

ICPR-2010-WangLGL #3d #comparison #difference #kernel

3D Model Comparison through Kernel Density Matching (YW, TL, RG, WL), pp. 3159–3162.

ICPR-2010-YaegashiY #kernel #learning #multi #recognition #using

Geotagged Photo Recognition Using Corresponding Aerial Photos with Multiple Kernel Learning (KY, KY), pp. 3272–3275.

ICPR-2010-ZhangLD #approach #kernel #learning #multi #named #novel

AdaMKL: A Novel Biconvex Multiple Kernel Learning Approach (ZZ, ZNL, MSD), pp. 2126–2129.

ICPR-2010-ZhangWL #categorisation #kernel #learning

Learning the Kernel Combination for Object Categorization (DZ, XW, BL), pp. 2929–2932.

ICPR-2010-ZhangZZLL #classification #enterprise #kernel

Gaussian ERP Kernel Classifier for Pulse Waveforms Classification (DZ, WZ, DZ, YL, NL), pp. 2736–2739.

ICPR-2010-ZhangZZZ #classification #kernel #metric #using

Time Series Classification Using Support Vector Machine with Gaussian Elastic Metric Kernel (DZ, WZ, DZ, HZ), pp. 29–32.

ICPR-2010-ZouY #image #kernel #learning

Learning the Relationship Between High and Low Resolution Images in Kernel Space for Face Super Resolution (WWWZ, PCY), pp. 1152–1155.

KDD-2010-DasMSO #algorithm #case study #detection #kernel #learning #multi #safety

Multiple kernel learning for heterogeneous anomaly detection: algorithm and aviation safety case study (SD, BLM, ANS, NCO), pp. 47–56.

KDD-2010-HeLC #kernel #scalability #similarity

Scalable similarity search with optimized kernel hashing (JH, WL, SFC), pp. 1129–1138.

KDD-2010-ReichartzKP #dependence #kernel #semantics

Semantic relation extraction with kernels over typed dependency trees (FR, HK, GP), pp. 773–782.

KDIR-2010-GuderSC #kernel #modelling #quality

Integrated Instance-based and Kernel Methods for Power Quality Knowledge Modeling (MG, ÖS, IÇ), pp. 352–357.

KDIR-2010-NcirEB #clustering #kernel

Kernel Overlapping K-Means for Clustering in Feature Space (CEBN, NE, PB), pp. 250–255.

KEOD-2010-ArdilaAL #kernel #learning #multi #ontology

Multiple Kernel Learning for Ontology Instance Matching (DA, JA, FL), pp. 311–318.

SAC-2010-KuuskeriLM #collaboration #kernel #peer-to-peer

Peer-to-peer collaboration in the lively kernel (JK, JL, TM), pp. 812–817.

FSE-2010-LiG #gpu #kernel #scalability #smt #verification

Scalable SMT-based verification of GPU kernel functions (GL, GG), pp. 187–196.

SPLC-2010-LotufoSBCW #evolution #kernel #linux #variability

Evolution of the Linux Kernel Variability Model (RL, SS, TB, KC, AW), pp. 136–150.

OSDI-2010-EricksonMBO #concurrent #detection #effectiveness #kernel

Effective Data-Race Detection for the Kernel (JE, MM, SB, KO), pp. 151–162.

ICDAR-2009-MansjurWJ #automation #categorisation #classification #kernel #learning #topic #using

Using Kernel Density Classifier with Topic Model and Cost Sensitive Learning for Automatic Text Categorization (DSM, TSW, BHJ), pp. 1086–1090.

ICDAR-2009-PerronninR #kernel

Fisher Kernels for Handwritten Word-spotting (FP, JARS), pp. 106–110.

SIGMOD-2009-ZhangYCPT #estimation #kernel

Kernel-based skyline cardinality estimation (ZZ, YY, RC, DP, AKHT), pp. 509–522.

ICSM-2009-WangWYZY #evolution #kernel #linux #network #novel

Linux kernels as complex networks: A novel method to study evolution (LW, ZW, CY, LZ, QY), pp. 41–50.

CIKM-2009-ChenWL #kernel #learning #novel #rank

Learning to rank with a novel kernel perceptron method (XwC, HW, XL), pp. 505–512.

CIKM-2009-FeiH #graph #kernel

L2 norm regularized feature kernel regression for graph data (HF, JH), pp. 593–600.

CIKM-2009-KobayakawaKTOKT #analysis #classification #kernel #using

Opinion classification with tree kernel SVM using linguistic modality analysis (TSK, TK, HT, NO, JDK, JT), pp. 1791–1794.

CIKM-2009-ParkR #analysis #information retrieval #kernel #semantics #using

Kernel latent semantic analysis using an information retrieval based kernel (LAFP, KR), pp. 1721–1724.

CIKM-2009-VienVCYKC #kernel #locality #named #using #visualisation

VRIFA: a nonlinear SVM visualization tool using nomogram and localized radial basis function (LRBF) kernels (NAV, NHV, TC, HY, SK, BHC), pp. 2081–2082.

ICML-2009-AiolliMS #kernel

Route kernels for trees (FA, GDSM, AS), pp. 17–24.

ICML-2009-ChenGR #kernel #learning

Learning kernels from indefinite similarities (YC, MRG, BR), pp. 145–152.

ICML-2009-Cortes #kernel #learning #performance #question

Invited talk: Can learning kernels help performance? (CC), p. 1.

ICML-2009-KowalskiSR #kernel #learning #multi

Multiple indefinite kernel learning with mixed norm regularization (MK, MS, LR), pp. 545–552.

ICML-2009-McFeeL #kernel #multi #partial order

Partial order embedding with multiple kernels (BM, GRGL), pp. 721–728.

ICML-2009-TaylorP #approximate #kernel #learning

Kernelized value function approximation for reinforcement learning (GT, RP), pp. 1017–1024.

ICML-2009-VarmaB #kernel #learning #multi #performance

More generality in efficient multiple kernel learning (MV, BRB), pp. 1065–1072.

ICML-2009-ZhuangTH #kernel #learning #named #parametricity

SimpleNPKL: simple non-parametric kernel learning (JZ, IWT, SCHH), pp. 1273–1280.

KDD-2009-ZhongFPZRTV #adaptation #kernel

Cross domain distribution adaptation via kernel mapping (EZ, WF, JP, KZ, JR, DST, OV), pp. 1027–1036.

MLDM-2009-GoncalvesQ #classification #kernel #semantics #using

Using Graph-Kernels to Represent Semantic Information in Text Classification (TG, PQ), pp. 632–646.

MLDM-2009-WangZ #classification #kernel

Optimal Double-Kernel Combination for Classification (FW, HZ), pp. 107–122.

SAC-2009-LombardiP #kernel #linux #named #security #virtual machine

KvmSec: a security extension for Linux kernel virtual machines (FL, RDP), pp. 2029–2034.

SAC-2009-MikkonenT #case study #experience #framework #kernel #mobile #web

Creating a mobile web application platform: the lively kernel experiences (TM, AT), pp. 177–184.

SOSP-2009-KleinEHACDEEKNSTW #kernel #named #verification

seL4: formal verification of an OS kernel (GK, KE, GH, JA, DC, PD, DE, KE, RK, MN, TS, HT, SW), pp. 207–220.

SOSP-2009-NightingaleHMHH #kernel #multi #named

Helios: heterogeneous multiprocessing with satellite kernels (EBN, OH, RM, CH, GCH), pp. 221–234.

MBT-2009-KimHHK #concurrent #debugging #kernel #modelling #testing

Model-based Kernel Testing for Concurrency Bugs through Counter Example Replay (MK, SH, CH, TK), pp. 21–36.

DATE-2008-SingheeSR #correlation #kernel #performance #statistics

Exploiting Correlation Kernels for Efficient Handling of Intra-Die Spatial Correlation, with Application to Statistical Timing (AS, SS, RAR), pp. 856–861.

ICALP-A-2008-BodlaenderDFH #kernel #on the #polynomial #problem

On Problems without Polynomial Kernels (Extended Abstract) (HLB, RGD, MRF, DH), pp. 563–574.

ICGT-2008-EhrigP #analysis #formal method #graph #kernel #model transformation

Formal Analysis of Model Transformations Based on Triple Graph Rules with Kernels (HE, UP), pp. 178–193.

CIKM-2008-Moschitti #categorisation #kernel #relational #semantics #syntax

Kernel methods, syntax and semantics for relational text categorization (AM), pp. 253–262.

CIKM-2008-ZhangM #composition #kernel

Classifying networked entities with modularity kernels (DZ, RM), pp. 113–122.

ICML-2008-AllauzenMT #kernel #predict #sequence

Sequence kernels for predicting protein essentiality (CA, MM, AT), pp. 9–16.

ICML-2008-AnWSWCD #analysis #image #kernel #multi #process

Hierarchical kernel stick-breaking process for multi-task image analysis (QA, CW, IS, EW, LC, DBD), pp. 17–24.

ICML-2008-Bach #graph #kernel

Graph kernels between point clouds (FRB), pp. 25–32.

ICML-2008-ChenY #kernel

Training SVM with indefinite kernels (JC, JY), pp. 136–143.

ICML-2008-GonenA #kernel #learning #locality #multi

Localized multiple kernel learning (MG, EA), pp. 352–359.

ICML-2008-HoiJ #kernel #learning

Active kernel learning (SCHH, RJ), pp. 400–407.

ICML-2008-LuLHE #framework #kernel

A reproducing kernel Hilbert space framework for pairwise time series distances (ZL, TKL, YH, DE), pp. 624–631.

ICML-2008-MartinsFASX #kernel

Nonextensive entropic kernels (AFTM, MATF, PMQA, NAS, EPX), pp. 640–647.

ICML-2008-OrabonaKC #bound #kernel

The projectron: a bounded kernel-based Perceptron (FO, JK, BC), pp. 720–727.

ICML-2008-ReisingerSM #kernel #learning #online

Online kernel selection for Bayesian reinforcement learning (JR, PS, RM), pp. 816–823.

ICML-2008-Rosset #kernel

Bi-level path following for cross validated solution of kernel quantile regression (SR), pp. 840–847.

ICML-2008-SahbiARK #kernel #recognition #robust #using

Robust matching and recognition using context-dependent kernels (HS, JYA, JR, RK), pp. 856–863.

ICML-2008-ShinK #kernel

A generalization of Haussler’s convolution kernel: mapping kernel (KS, TK), pp. 944–951.

ICML-2008-SongZSGS #estimation #kernel

Tailoring density estimation via reproducing kernel moment matching (LS, XZ, AJS, AG, BS), pp. 992–999.

ICML-2008-SriperumbudurLL #classification #kernel #metric

Metric embedding for kernel classification rules (BKS, OAL, GRGL), pp. 1008–1015.

ICML-2008-SzafranskiGR #kernel #learning

Composite kernel learning (MS, YG, AR), pp. 1040–1047.

ICML-2008-WangYZ #adaptation #kernel #learning #multi

Adaptive p-posterior mixture-model kernels for multiple instance learning (HYW, QY, HZ), pp. 1136–1143.

ICPR-2008-BorsN #estimation #kernel #modelling #probability

Kernel bandwidth estimation in methods based on probability density function modelling (AGB, NN), pp. 1–4.

ICPR-2008-ChangFLI #clustering #detection #kernel #multi

Clustered Microcalcification detection based on a Multiple Kernel Support Vector Machine with Grouped Features (GF-SVM) (TTC, JF, HWL, HHSI), pp. 1–4.

ICPR-2008-ChoiGCC #analysis #independence #kernel

Kernel oriented discriminant analysis for speaker-independent phoneme spaces (HC, RGO, SC, YC), pp. 1–4.

ICPR-2008-FuSHLT #image #kernel #learning #multi #set

Multiple kernel learning from sets of partially matching image features (SYF, GS, ZGH, ZzL, MT), pp. 1–4.

ICPR-2008-GhoshM #classification #documentation #kernel #similarity #using #xml

Combining content and structure similarity for XML document classification using composite SVM kernels (SG, PM), pp. 1–4.

ICPR-2008-GorisseCPP #approximate #image #kernel #performance #retrieval #similarity

Fast approximate kernel-based similarity search for image retrieval task (DG, MC, FP, SPF), pp. 1–4.

ICPR-2008-HuangLL #estimation #image #kernel

Image deblurring with blur kernel estimation from a reference image patch (PHH, YML, SHL), pp. 1–4.

ICPR-2008-KawabataHS #agile #kernel

A rapid anomalous region extraction method by iterative projection onto kernel eigenspace (SK, SH, KS), pp. 1–4.

ICPR-2008-KuksaHP #detection #kernel #performance

Fast protein homology and fold detection with sparse spatial sample kernels (PPK, PHH, VP), pp. 1–4.

ICPR-2008-LebrunPG #graph #image #kernel #retrieval

Image retrieval with graph kernel on regions (JL, SPF, PHG), pp. 1–4.

ICPR-2008-LiaoL #kernel #learning #novel #robust

A novel robust kernel for appearance-based learning (CTL, SHL), pp. 1–4.

ICPR-2008-LiCS #kernel #optimisation #predict #video

An improved mean-shift tracker with kernel prediction and scale optimisation targeting for low-frame-rate video tracking (ZL, JC, NNS), pp. 1–4.

ICPR-2008-LiuDJM #3d #kernel #robust

Kernel functions for robust 3D surface registration with spectral embeddings (XL, AD, MJ, WM), pp. 1–4.

ICPR-2008-LiuWBM #kernel #learning #linear

Semi-supervised learning by locally linear embedding in kernel space (RL, YW, TB, DM), pp. 1–4.

ICPR-2008-MaCL #collaboration #constraints #invariant #kernel #multi

Multi-cue collaborative kernel tracking with cross ratio invariant constraint (LM, JC, HL), pp. 1–4.

ICPR-2008-MottlLSY #kernel #online #verification

Signature verification based on fusion of on-line and off-line kernels (VM, ML, VS, AY), pp. 1–4.

ICPR-2008-SharmaCS #classification #kernel

Bag-of-features kernel eigen spaces for classification (GS, SC, JBS), pp. 1–4.

ICPR-2008-YiAC #invariant #kernel #using

Orientation and scale invariant mean shift using object mask-based kernel (KMY, HSA, JYC), pp. 1–4.

KDD-2008-ChenJCLWY #classification #kernel #learning

Learning subspace kernels for classification (JC, SJ, BC, QL, MW, JY), pp. 106–114.

KDD-2008-WangD #classification #kernel #semantics #using #wiki

Building semantic kernels for text classification using wikipedia (PW, CD), pp. 713–721.

KDD-2008-YuJ #kernel #using

Training structural svms with kernels using sampled cuts (CNJY, TJ), pp. 794–802.

RecSys-2008-RendleS #kernel #matrix #modelling #recommendation #scalability

Online-updating regularized kernel matrix factorization models for large-scale recommender systems (SR, LST), pp. 251–258.

SIGIR-2008-PanTLL #classification #kernel #semantics

Question classification with semantic tree kernel (YP, YT, LL, YL), pp. 837–838.

SAC-2008-LaRosaXM #kernel #mining

Frequent pattern mining for kernel trace data (CL, LX, KM), pp. 880–885.

SAC-2008-SchobelP #case study #clustering #cpu #kernel #research #scheduling #using

Kernel-mode scheduling server for CPU partitioning: a case study using the Windows research kernel (MS, AP), pp. 1700–1704.

ICSE-2008-Spinellis #kernel

A tale of four kernels (DS), pp. 381–390.

HPDC-2008-YouseffSYDW #algebra #kernel #linear #memory management

The impact of paravirtualized memory hierarchy on linear algebra computational kernels and software (LY, KS, HY, JD, RW), pp. 141–152.

OSDI-2008-GuoWTLXWKZ #kernel #named

R2: An Application-Level Kernel for Record and Replay (ZG, XW, JT, XL, ZX, MW, MFK, ZZ), pp. 193–208.

ASE-2007-CaiWHW #array #automation #kernel #testing

Test automation for kernel code and disk arrays with virtual devices (LZC, RSW, WTH, FW), pp. 505–508.

DATE-2007-ArbeloKLLBSM #architecture #configuration management #kernel #video

Mapping control-intensive video kernels onto a coarse-grain reconfigurable architecture: the H.264/AVC deblocking filter (CA, AK, SL, JFL, MB, RS, JYM), pp. 177–182.

ICDAR-2007-ChenW #documentation #image #kernel

Exploiting Fisher Kernels in Decoding Severely Noisy Document Images (JC, YW), pp. 417–421.

ICDAR-2007-YangJ #kernel #recognition #using

Handwritten Chinese Character Recognition Using Modified LDA and Kernel FDA (DY, LJ), pp. 914–918.

ICDAR-2007-YangJHH #kernel #online #polynomial #recognition

Kernel Modified Quadratic Discriminant Function for Online Handwritten Chinese Characters Recognition (DY, LJ, QH, TH), pp. 38–42.

MSR-2007-LivieriHMI #analysis #evolution #kernel #linux #using

Analysis of the Linux Kernel Evolution Using Code Clone Coverage (SL, YH, MM, KI), p. 22.

ICALP-2007-GuoN #graph #kernel #linear #np-hard #problem

Linear Problem Kernels for NP-Hard Problems on Planar Graphs (JG, RN), pp. 375–386.

CIKM-2007-BloehdornM #kernel #semantics

Structure and semantics for expressive text kernels (SB, AM), pp. 861–864.

ECIR-2007-BloehdornM #classification #kernel #semantics

Combined Syntactic and Semantic Kernels for Text Classification (SB, AM), pp. 307–318.

ICML-2007-BhattacharyaBC #classification #kernel

Structural alignment based kernels for protein structure classification (SB, CB, NRC), pp. 73–80.

ICML-2007-CaoSSYC #feature model #kernel

Feature selection in a kernel space (BC, DS, JTS, QY, ZC), pp. 121–128.

ICML-2007-DaiY #kernel

Kernel selection forl semi-supervised kernel machines (GD, DYY), pp. 185–192.

ICML-2007-GeurtsWd #kernel

Gradient boosting for kernelized output spaces (PG, LW, FdB), pp. 289–296.

ICML-2007-HoiJL #constraints #kernel #learning #matrix #parametricity

Learning nonparametric kernel matrices from pairwise constraints (SCHH, RJ, MRL), pp. 361–368.

ICML-2007-KramerB #kernel #performance

Kernelizing PLS, degrees of freedom, and efficient model selection (NK, MLB), pp. 441–448.

ICML-2007-KuzminW #kernel #matrix #online

Online kernel PCA with entropic matrix updates (DK, MKW), pp. 465–472.

ICML-2007-MoschittiZ #effectiveness #kernel #learning #performance #relational

Fast and effective kernels for relational learning from texts (AM, FMZ), pp. 649–656.

ICML-2007-NilssonSJ #kernel #reduction #using

Regression on manifolds using kernel dimension reduction (JN, FS, MIJ), pp. 697–704.

ICML-2007-RakotomamonjyBCG #kernel #learning #multi #performance

More efficiency in multiple kernel learning (AR, FRB, SC, YG), pp. 775–782.

ICML-2007-SunJSF #algorithm #kernel #learning

A kernel-based causal learning algorithm (XS, DJ, BS, KF), pp. 855–862.

ICML-2007-WachmanK #kernel #learning #order

Learning from interpretations: a rooted kernel for ordered hypergraphs (GW, RK), pp. 943–950.

ICML-2007-WangYL #algorithm #kernel

A kernel path algorithm for support vector machines (GW, DYY, FHL), pp. 951–958.

ICML-2007-YeCJ #kernel #learning #parametricity #programming

Discriminant kernel and regularization parameter learning via semidefinite programming (JY, JC, SJ), pp. 1095–1102.

ICML-2007-ZienO #kernel #learning #multi

Multiclass multiple kernel learning (AZ, CSO), pp. 1191–1198.

KDD-2007-DingSJL #framework #kernel #learning #recommendation #using

A learning framework using Green’s function and kernel regularization with application to recommender system (CHQD, RJ, TL, HDS), pp. 260–269.

KDD-2007-YeJC #analysis #kernel #learning #matrix #polynomial #programming

Learning the kernel matrix in discriminant analysis via quadratically constrained quadratic programming (JY, SJ, JC), pp. 854–863.

MLDM-2007-EkinciA #kernel #recognition #representation

Palmprint Recognition by Applying Wavelet Subband Representation and Kernel PCA (ME, MA), pp. 628–642.

MLDM-2007-EkinciAG #kernel #multi #recognition

Gait Recognition by Applying Multiple Projections and Kernel PCA (ME, MA, EG), pp. 727–741.

MLDM-2007-KyrgyzovKMC #clustering #kernel

Kernel MDL to Determine the Number of Clusters (IOK, OOK, HM, MC), pp. 203–217.

MLDM-2007-LateckiLP #detection #kernel

Outlier Detection with Kernel Density Functions (LJL, AL, DP), pp. 61–75.

MLDM-2007-WuW #graph #kernel #parametricity

Choosing the Kernel Parameters for the Directed Acyclic Graph Support Vector Machines (KPW, SDW), pp. 276–285.

SEKE-2007-YuSC #kernel #reuse

Common Coupling as a Measure of Reuse Effort in Kernel-Based Software (LY, SRS, KC), pp. 39–44.

GPCE-2007-LienhardtSS #component #kernel #named #programming

Oz/K: a kernel language for component-based open programming (ML, AS, JBS), pp. 43–52.

SAC-2007-NguyenT #detection #kernel #towards

Towards a tamper-resistant kernel rootkit detector (AQN, YT), pp. 276–283.

CGO-2007-BarthouDCDJ #compilation #composition #kernel #optimisation #using

Loop Optimization using Hierarchical Compilation and Kernel Decomposition (DB, SD, PC, AD, WJ), pp. 170–184.

CGO-2007-HeTPDA #kernel #operating system

Code Compaction of an Operating System Kernel (HH, JT, SP, SKD, GRA), pp. 283–298.

SOSP-2007-SeshadriLQP #kernel #named

SecVisor: a tiny hypervisor to provide lifetime kernel code integrity for commodity OSes (AS, ML, NQ, AP), pp. 335–350.

AdaEurope-2006-BreuerP #fault #kernel #linux #source code #static analysis

One Million (LOC) and Counting: Static Analysis for Errors and Vulnerabilities in the Linux Kernel Source Code (PTB, SP), pp. 56–70.

CIKM-2006-AssfalgBK #3d #classification #kernel #named #string

3DString: a feature string kernel for 3D object classification on voxelized data (JA, KMB, HPK), pp. 198–207.

CIKM-2006-HeinzS #kernel #resource management #streaming

Resource-aware kernel density estimators over streaming data (CH, BS), pp. 870–871.

ICML-2006-ArgyriouHMP #algorithm #kernel

A DC-programming algorithm for kernel selection (AA, RH, CAM, MP), pp. 41–48.

ICML-2006-GeurtsWd #kernel

Kernelizing the output of tree-based methods (PG, LW, FdB), pp. 345–352.

ICML-2006-GreeneC #clustering #documentation #kernel #problem

Practical solutions to the problem of diagonal dominance in kernel document clustering (DG, PC), pp. 377–384.

ICML-2006-Haffner #kernel #learning #performance

Fast transpose methods for kernel learning on sparse data (PH), pp. 385–392.

ICML-2006-HertzBW #classification #kernel #learning

Learning a kernel function for classification with small training samples (TH, ABH, DW), pp. 401–408.

ICML-2006-KimMB #analysis #kernel

Optimal kernel selection in Kernel Fisher discriminant analysis (SJK, AM, SPB), pp. 465–472.

ICML-2006-KulisSD #kernel #learning #matrix #rank

Learning low-rank kernel matrices (BK, MAS, ISD), pp. 505–512.

ICML-2006-LehmannS #kernel #probability

A probabilistic model for text kernels (ADL, JST), pp. 537–544.

ICML-2006-LewisJN #kernel

Nonstationary kernel combination (DPL, TJ, WSN), pp. 553–560.

ICML-2006-Memisevic #kernel

Kernel information embeddings (RM), pp. 633–640.

ICML-2006-SindhwaniKC #kernel

Deterministic annealing for semi-supervised kernel machines (VS, SSK, OC), pp. 841–848.

ICML-2006-TeoV #array #kernel #performance #string #using

Fast and space efficient string kernels using suffix arrays (CHT, SVNV), pp. 929–936.

ICML-2006-WingateS #kernel #linear #modelling #predict #probability

Kernel Predictive Linear Gaussian models for nonlinear stochastic dynamical systems (DW, SPS), pp. 1017–1024.

ICML-2006-ZhangK #kernel #matrix #performance

Block-quantized kernel matrix for fast spectral embedding (KZ, JTK), pp. 1097–1104.

ICPR-v1-2006-LiCF #hybrid #kernel #set

Hybrid Kernel Machine Ensemble for Imbalanced Data Sets (PL, KLC, WF), pp. 1108–1111.

ICPR-v1-2006-WashizawaY #kernel

Non-linear Wiener filter in reproducing kernel Hilbert space (YW, YY), pp. 967–970.

ICPR-v1-2006-ZhangG #human-computer #interface #kernel #locality

A Kernel-based Signal Localization Method for NIRS Brain-computer Interfaces (HZ, CG), pp. 1158–1161.

ICPR-v2-2006-AndelicSKK #hybrid #kernel #modelling #speech #using

A Hybrid HMM-Based Speech Recognizer Using Kernel-Based Discriminants as Acoustic Models (EA, MS, MK, SEK), pp. 1158–1161.

ICPR-v2-2006-ChenB06a #kernel

Function Dot Product Kernels for Support Vector Machine (GC, PB), pp. 614–617.

ICPR-v2-2006-Huang #kernel #predict

A New Kernel Based on Weighted Cross-Correlation Coefficient for SVMs and Its Application on Prediction of T-cell Epitopes (JH), pp. 691–694.

ICPR-v2-2006-InoueNK #analysis #feature model #kernel #recognition #string #using

Historical Hand-Written String Recognition by Non-linear Discriminant Analysis using Kernel Feature Selection (RI, HN, NK), pp. 1094–1097.

ICPR-v2-2006-KoideY #kernel #symmetry

Asymmetric kernel method and its application to Fisher’s discriminant (NK, YY), pp. 820–824.

ICPR-v2-2006-TarelB #detection #kernel #parametricity

Object Predetection Based on Kernel Parametric Distribution Fitting (JPT, SB), pp. 808–811.

ICPR-v2-2006-YanT #adaptation #kernel #reduction

Dimensionality Reduction with Adaptive Kernels (SY, XT), pp. 626–629.

ICPR-v2-2006-YeSLC #kernel #orthogonal

Support vector machine with orthogonal Chebyshev kernel (NY, RS, YL, LC), pp. 752–755.

ICPR-v2-2006-YuanQYZ #approach #classification #kernel

An Approach for Constructing Sparse Kernel Classifier (ZY, YQ, YY, NZ), pp. 560–563.

ICPR-v2-2006-ZhengL #analysis #component #kernel #learning #locality #problem

Regularized Locality Preserving Learning of Pre-Image Problem in Kernel Principal Component Analysis (WSZ, JHL), pp. 456–459.

ICPR-v2-2006-ZhengLY #kernel #learning #problem

Weakly Supervised Learning on Pre-image Problem in Kernel Methods (WSZ, JHL, PCY), pp. 711–715.

ICPR-v3-2006-LeePL #image #kernel #re-engineering

Face Reconstruction with Low Resolution Facial Images by Feature Vector Projection in Kernel Space (SWL, JP, SWL), pp. 1179–1182.

ICPR-v3-2006-LiZSCG #analysis #kernel #performance #recognition

Bagging Based Efficient Kernel Fisher Discriminant Analysis for Face Recognition (YL, BZ, SS, XC, WG), pp. 523–526.

ICPR-v3-2006-PozdnoukhovB #graph #invariant #kernel #pattern matching #pattern recognition #recognition

Graph-based transformation manifolds for invariant pattern recognition with kernel methods (AP, SB), pp. 1228–1231.

ICPR-v3-2006-QiuXT #clustering #feedback #kernel #performance #using

Efficient Relevance Feedback Using Semi-supervised Kernel-specified K-means Clustering (BQ, CX, QT), pp. 316–319.

ICPR-v3-2006-SandersonG #kernel #markov #on the #sequence

On Authorship Attribution via Markov Chains and Sequence Kernels (CS, SG), pp. 437–440.

ICPR-v3-2006-TangkuampienS #analysis #component #kernel

Human Motion De-noising via Greedy Kernel Principal Component Analysis Filtering (TT, DS), pp. 457–460.

ICPR-v3-2006-YamazakiCX #analysis #component #image #independence #kernel #using

Separating Reflections from Images Using Kernel Independent Component Analysis (MY, YWC, GX), pp. 194–197.

ICPR-v3-2006-ZhangLG #kernel #memory management #recognition

Face Recognition by Combining Kernel Associative Memory and Gabor Transforms (BZ, CL, YG), pp. 465–468.

ICPR-v4-2006-ChaoTWC #framework #kernel #problem #testing #verification

A Kernel-based Discrimination Framework for Solving Hypothesis Testing Problems with Application to Speaker Verification (YHC, WHT, HMW, RCC), pp. 229–232.

ICPR-v4-2006-DiegoM #kernel

Kernel Procrustes (IMdD, AM), pp. 237–240.

ICPR-v4-2006-KropotovPVV #kernel #on the #principle #using

On Kernel Selection in Relevance Vector Machines Using Stability Principle (DK, NP, OV, DV), pp. 233–236.

ICPR-v4-2006-NeuhausB #graph #kernel

A Convolution Edit Kernel for Error-tolerant Graph Matching (MN, HB), pp. 220–223.

ICPR-v4-2006-PozdnoukhovB06a #graph #invariant #kernel #pattern matching #pattern recognition #recognition

Graph-based transformation manifolds for invariant pattern recognition with kernel methods (AP, SB), p. 956.

ICPR-v4-2006-WangR #analysis #kernel #recognition

Kernel Fisher Discriminant Analysis for Palmprint Recognition (YW, QR), pp. 457–460.

ICPR-v4-2006-YuH #graph #kernel #string

String Kernels for Matching Seriated Graphs (HY, ERH), pp. 224–228.

KDD-2006-HoiLC #classification #kernel #learning

Learning the unified kernel machines for classification (SCHH, MRL, EYC), pp. 187–196.

KDD-2006-TsangKK #feature model #kernel #performance #set

Efficient kernel feature extraction for massive data sets (IWT, AK, JTK), pp. 724–729.

GPCE-2006-YanagisawaKC #aspect-oriented #kernel

A dynamic aspect-oriented system for OS kernels (YY, KK, SC), pp. 69–78.

SAC-2006-ChoiBS #design #implementation #kernel #linux #programming #robust

Design and implementation of a kernel resource protector for robustness of Linux module programming (JC, SB, SYS), pp. 1477–1481.

SAC-2006-FabryD #aspect-oriented #kernel #named #transaction

KALA: Kernel Aspect language for advanced transactions (JF, TD), pp. 1615–1620.

SAC-2006-SoaresB #kernel #parametricity #using

Selecting parameters of SVM using meta-learning and kernel matrix-based meta-features (CS, PB), pp. 564–568.

SAC-2006-YuJV #kernel #privacy #using

Privacy-preserving SVM using nonlinear kernels on horizontally partitioned data (HY, XJ, JV), pp. 603–610.

SAT-2006-KullmannLM #agile #categorisation #kernel #normalisation #satisfiability

Categorisation of Clauses in Conjunctive Normal Forms: Minimally Unsatisfiable Sub-clause-sets and the Lean Kernel (OK, IL, JMS), pp. 22–35.

CBSE-2005-DiazGRRST #kernel

A CCA-compliant Nuclear Power Plant Simulator Kernel (MD, DG, SR, BR, ES, JMT), pp. 283–297.

DATE-2005-Dubrova #kernel #testing

Structural Testing Based on Minimum Kernels (ED), pp. 1168–1173.

DATE-2005-HassanSTI #kernel #simulation

RTK-Spec TRON: A Simulation Model of an ITRON Based RTOS Kernel in SystemC (MAH, KS, YT, MI), pp. 554–559.

SEFM-2005-GrandySR #java #kernel #object-oriented #verification

Object Oriented Verification Kernels for Secure Java Applications (HG, KS, WR), pp. 170–179.

ICML-2005-BachJ #composition #kernel #predict #rank

Predictive low-rank decomposition for kernel methods (FRB, MIJ), pp. 33–40.

ICML-2005-FrohlichWSZ #graph #kernel

Optimal assignment kernels for attributed molecular graphs (HF, JKW, FS, AZ), pp. 225–232.

ICML-2005-GirolamiR #kernel #learning #modelling

Hierarchic Bayesian models for kernel learning (MG, SR), pp. 241–248.

ICML-2005-KulisBDM #approach #clustering #graph #kernel

Semi-supervised graph clustering: a kernel approach (BK, SB, ISD, RJM), pp. 457–464.

ICML-2005-MenchettiCF #composition #kernel

Weighted decomposition kernels (SM, FC, PF), pp. 585–592.

ICML-2005-WangS #classification #kernel

New kernels for protein structural motif discovery and function classification (CW, SDS), pp. 940–947.

KDD-2005-DhillonGK #algorithm #clustering #graph #kernel #multi #performance

A fast kernel-based multilevel algorithm for graph clustering (ISD, YG, BK), pp. 629–634.

KDD-2005-FujimakiYM #approach #detection #kernel #problem #using

An approach to spacecraft anomaly detection problem using kernel feature space (RF, TY, KM), pp. 401–410.

KDD-2005-ItoSKM #analysis #kernel

Application of kernels to link analysis (TI, MS, TK, YM), pp. 586–592.

KDD-2005-Momma #kernel #performance #scalability

Efficient computations via scalable sparse kernel partial least squares and boosted latent features (MM), pp. 654–659.

KDD-2005-WuCP #distance #kernel

Formulating distance functions via the kernel trick (GW, EYC, NP), pp. 703–709.

MLDM-2005-MottlKSM #data mining #kernel #mining #multi

Principles of Multi-kernel Data Mining (VM, OK, OS, IBM), pp. 52–61.

SIGIR-2005-ZhangCL #classification #kernel #multi

Text classification with kernels on the multinomial manifold (DZ, XC, WSL), pp. 266–273.

GPCE-2005-TanterN #aspect-oriented #kernel #multi

A Versatile Kernel for Multi-language AOP (ÉT, JN), pp. 173–188.

LCTES-2005-ChanetSBPB #kernel #linux

System-wide compaction and specialization of the linux kernel (DC, BDS, BDB, LVP, KDB), pp. 95–104.

WCRE-2004-EichbergMOS #development #kernel #named

XIRC: A Kernel for Cross-Artifact Information Engineering in Software Development Environments (ME, MM, KO, TS), pp. 182–191.

ICALP-2004-FominT #algorithm #exponential #graph #kernel #linear #performance

Fast Parameterized Algorithms for Graphs on Surfaces: Linear Kernel and Exponential Speed-Up (FVF, DMT), pp. 581–592.

AdaEurope-2004-BreuerG #concurrent #detection #kernel #linux

Static Deadlock Detection in the Linux Kernel (PTB, MGV), pp. 52–64.

ICML-2004-BachLJ #algorithm #kernel #learning #multi

Multiple kernel learning, conic duality, and the SMO algorithm (FRB, GRGL, MIJ).

ICML-2004-CortesM #kernel

Distribution kernels based on moments of counts (CC, MM).

ICML-2004-FungDBR #algorithm #kernel #performance #using

A fast iterative algorithm for fisher discriminant using heterogeneous kernels (GF, MD, JB, RBR).

ICML-2004-HamLMS #kernel #reduction

A kernel view of the dimensionality reduction of manifolds (JH, DDL, SM, BS).

ICML-2004-Jebara #kernel #multi

Multi-task feature and kernel selection for SVMs (TJ).

ICML-2004-KashimaT #algorithm #graph #kernel #learning #sequence

Kernel-based discriminative learning algorithms for labeling sequences, trees, and graphs (HK, YT).

ICML-2004-LaffertyZL #clique #kernel #random #representation

Kernel conditional random fields: representation and clique selection (JDL, XZ, YL).

ICML-2004-MaheUAPV #graph #kernel

Extensions of marginalized graph kernels (PM, NU, TA, JLP, JPV).

ICML-2004-NguyenWJ #classification #detection #distributed #kernel #using

Decentralized detection and classification using kernel methods (XN, MJW, MIJ).

ICML-2004-OngMCS #kernel #learning

Learning with non-positive kernels (CSO, XM, SC, AJS).

ICML-2004-WeinbergerSS #kernel #learning #matrix #reduction

Learning a kernel matrix for nonlinear dimensionality reduction (KQW, FS, LKS).

ICML-2004-ZhangYK #algorithm #kernel #learning #matrix #using

Bayesian inference for transductive learning of kernel matrix using the Tanner-Wong data augmentation algorithm (ZZ, DYY, JTK).

ICPR-v1-2004-Ben-ArtziHH #kernel

Filtering with Gray-Code Kernels (GBA, HHO, YHO), pp. 556–559.

ICPR-v1-2004-Chen #kernel #robust

M-Estimator based Robust Kernels for Support Vector Machines (JHC), pp. 168–171.

ICPR-v1-2004-ChengLLC #classification #component #independence #kernel #using

Texture Classification Using Kernel Independent Component Analysi (JC, QL, HL, YWC), pp. 620–623.

ICPR-v1-2004-Horikawa #classification #comparison #invariant #kernel

Comparison of Support Vector Machines with Autocorrelation Kernels for Invariant Texture Classification (YH), pp. 660–663.

ICPR-v1-2004-ShenB #analysis #kernel #recognition

Gabor Wavelets and Kernel Direct Discriminant Analysis for Face Recognition (LS, LB), pp. 284–287.

ICPR-v2-2004-CaputoWN #categorisation #kernel

Object Categorization via Local Kernels (BC, CW, MEN), pp. 132–135.

ICPR-v2-2004-CawleyT #kernel #performance

Efficient Model Selection for Kernel Logistic Regression (GCC, NLCT), pp. 439–442.

ICPR-v2-2004-DaiQJ #analysis #kernel #pattern matching #pattern recognition #recognition

A Kernel Fractional-Step Nonlinear Discriminant Analysis for Pattern Recognition (GD, YQ, SJ), pp. 431–434.

ICPR-v2-2004-HalawaniB #evaluation #image #kernel #retrieval

Image Retrieval by Local Evaluation of Nonlinear Kernel Functions around Salient Points (AH, HB), pp. 955–960.

ICPR-v2-2004-LiuTLM #analysis #kernel #recognition

Kernel Scatter-Difference Based Discriminant Analysis For Face Recognition (QL, XT, HL, SM), pp. 419–422.

ICPR-v2-2004-Nagao #approach #feature model #kernel

Bayesian Approach with Nonlinear Kernels to Feature Extraction (KN), pp. 153–156.

ICPR-v2-2004-NeedhamB #kernel #multi

Multi-Resolution Template Kernels (CJN, RDB), pp. 233–236.

ICPR-v2-2004-SaadiTC #analysis #kernel

Optimally Regularised Kernel Fisher Discriminant Analysis (KS, NLCT, GCC), pp. 427–430.

ICPR-v2-2004-WashizawaY #classification #kernel #pattern matching #pattern recognition #recognition

Kernel Sample Space Projection Classifier for Pattern Recognition (YW, YY), pp. 435–438.

ICPR-v2-2004-ZhangHHL #kernel

Kernel-Based Method for Tracking Objects with Rotation and Translation (HZ, ZH, WH, LL), pp. 728–731.

ICPR-v2-2004-ZhangHHZ #classification #kernel #visual notation

Kernel Autoassociator with Applications to Visual Classification (HZ, WH, ZH, BZ), pp. 443–446.

ICPR-v3-2004-BenoitF #kernel

Steerable Kernels for Arbitrarily-Sampled Spaces (SB, FPF), pp. 578–581.

ICPR-v3-2004-GurwiczL #agile #estimation #kernel #network

Rapid Spline-based Kernel Density Estimation for Bayesian Networks (YG, BL), pp. 700–703.

ICPR-v3-2004-Hotta #kernel #recognition #robust

Support Vector Machine with Local Summation Kernel for Robust Face Recognition (KH), pp. 482–485.

ICPR-v3-2004-JagmohanSA #estimation #kernel #using

Dense Stereo Matching Using Kernel Maximum Likelihood Estimation (AJ, MKS, NA), pp. 28–31.

ICPR-v3-2004-LiuCLM #distance #image #kernel #re-engineering

Distance Based Kernel PCA Image Reconstruction (QL, JC, HL, SM), pp. 670–673.

ICPR-v3-2004-PozdnoukhovB #classification #image #invariant #kernel

Tangent Vector Kernels for Invariant Image Classification with SVMs (AP, SB), pp. 486–489.

ICPR-v4-2004-QinandS #algorithm #analysis #clustering #kernel

Kernel Neural Gas Algorithms with Application to Cluster Analysis (AKQ, PNS), pp. 617–620.

ICPR-v4-2004-QinandS04a #algorithm #kernel #learning #novel #prototype

A Novel Kernel Prototype-Based Learning Algorithm (AKQ, PNS), pp. 621–624.

ICPR-v4-2004-TanCZ #image #kernel #metric #robust #using

Robust Image Denoising Using Kernel-Induced Measures (KT, SC, DZ), pp. 685–688.

KDD-2004-BiZB #kernel

Column-generation boosting methods for mixture of kernels (JB, TZ, KPB), pp. 521–526.

KDD-2004-DhillonGK #clustering #kernel #normalisation

Kernel k-means: spectral clustering and normalized cuts (ISD, YG, BK), pp. 551–556.

KDD-2004-HorvathGW #graph #kernel #mining #predict

Cyclic pattern kernels for predictive graph mining (TH, TG, SW), pp. 158–167.

SEKE-2004-FengyanZX #algorithm #kernel #modelling #parametricity #reliability

A Nonparametric Software Reliability Model Based on Kernel Estimator and Optimum Algorithm (HF, QZ, WX), pp. 13–18.

SAC-2004-MortonL #design #hardware #kernel

A hardware/software kernel for system on chip designs (AM, WML), pp. 869–875.

ICLP-2004-RayBR #kernel #set

Generalised Kernel Sets for Inverse Entailment (OR, KB, AR), pp. 165–179.

VMCAI-2004-PaceS #difference #kernel #model checking #using

Model Checking Polygonal Differential Inclusions Using Invariance Kernels (GJP, GS), pp. 110–121.

ASE-2003-AbergLSMM #aspect-oriented #automation #evolution #kernel #logic #on the #using

On the automatic evolution of an OS kernel using temporal logic and AOP (RAÅ, JLL, MS, GM, AFLM), pp. 196–204.

ICML-2003-CumbyR #kernel #learning #on the #relational

On Kernel Methods for Relational Learning (CMC, DR), pp. 107–114.

ICML-2003-DeCosteM #approximate #classification #incremental #kernel #performance

Fast Query-Optimized Kernel Machine Classification Via Incremental Approximate Nearest Support Vectors (DD, DM), pp. 115–122.

ICML-2003-KashimaTI #graph #kernel

Marginalized Kernels Between Labeled Graphs (HK, KT, AI), pp. 321–328.

ICML-2003-KlautauJO #classification #comparison #kernel #modelling

Discriminative Gaussian Mixture Models: A Comparison with Kernel Classifiers (AK, NJ, AO), pp. 353–360.

ICML-2003-KondorJ #kernel #set

A Kernel Between Sets of Vectors (RK, TJ), pp. 361–368.

ICML-2003-KwokT #kernel #learning

Learning with Idealized Kernels (JTK, IWT), pp. 400–407.

ICML-2003-KwokT03a #kernel #problem

The Pre-Image Problem in Kernel Methods (JTK, IWT), pp. 408–415.

ICML-2003-RosipalTM #classification #kernel #linear

Kernel PLS-SVC for Linear and Nonlinear Classification (RR, LJT, BM), pp. 640–647.

ICML-2003-Zhang #kernel #learning #metric #multi #representation #scalability #towards

Learning Metrics via Discriminant Kernels and Multidimensional Scaling: Toward Expected Euclidean Representation (ZZ), pp. 872–879.

SAC-2003-Cerrito #estimation #kernel #using #visualisation

Data Visualization Using Kernel Density Estimation to Examine Patterns of Physician Practice (PBC), pp. 275–279.

DATE-2002-BjorklundL #kernel #towards

Towards a Kernel Language for Heterogeneous Computing (DB, JL), p. 1136.

SCAM-J-2001-AntoniolVMP02 #evolution #kernel #linux

Analyzing cloning evolution in the Linux kernel (GA, UV, EM, MDP), pp. 755–765.

AdaEurope-2002-BinderL #embedded #execution #java #kernel #reliability #using

Using a Secure Java Micro-kernel on Embedded Devices for the Reliable Execution of Dynamically Uploaded Applications (WB, BL), pp. 125–135.

ICML-2002-DeCoste #classification #distance #geometry #kernel #performance

Anytime Interval-Valued Outputs for Kernel Machines: Fast Support Vector Machine Classification via Distance Geometry (DD), pp. 99–106.

ICML-2002-GartnerFKS #kernel #multi

Multi-Instance Kernels (TG, PAF, AK, AJS), pp. 179–186.

ICML-2002-KashimaK #kernel

Kernels for Semi-Structured Data (HK, TK), pp. 291–298.

ICML-2002-KeerthiDSP #algorithm #kernel #performance

A Fast Dual Algorithm for Kernel Logistic Regression (SSK, KD, SKS, ANP), pp. 299–306.

ICML-2002-KondorL #graph #kernel

Diffusion Kernels on Graphs and Other Discrete Input Spaces (RK, JDL), pp. 315–322.

ICML-2002-LanckrietCBGJ #kernel #learning #matrix #programming

Learning the Kernel Matrix with Semi-Definite Programming (GRGL, NC, PLB, LEG, MIJ), pp. 323–330.

ICML-2002-SaundersTS #kernel #string

Syllables and other String Kernel Extensions (CS, HT, JST), pp. 530–537.

ICPR-v2-2002-HaasdonkK #distance #kernel

Tangent Distance Kernels for Support Vector Machines (BH, DK), pp. 864–868.

ICPR-v2-2002-JainM #classification #kernel

Hierarchical Kernel Fitting for Fingerprint Classification and Alignment (AKJ, SM), pp. 469–473.

ICPR-v2-2002-LiuHLM #analysis #kernel #recognition

Kernel-Based Optimized Feature Vectors Selection and Discriminant Analysis for Face Recognition (QL, RH, HL, SM), pp. 362–365.

ICPR-v3-2002-AyatCS #kernel #named #pattern matching #pattern recognition #recognition

KMOD — A Tw o-Parameter SVM Kernel for Pattern Recognition (NEA, MC, CYS), pp. 331–334.

ICPR-v3-2002-PengHD #adaptation #classification #kernel #metric #nearest neighbour

Adaptive Kernel Metric Nearest Neighbor Classification (JP, DRH, HKD), pp. 33–36.

ICPR-v4-2002-CaputoN #classification #kernel

To Each According to its Need: Kernel Class Specific Classifiers (BC, HN), pp. 94–97.

ICPR-v4-2002-MottlKK #classification #identification #kernel

Support Object Classifiers with Rigid and Elastic Kernel Functions for Face Identification (VM, AK, JK), pp. 205–208.

ICPR-v4-2002-ZhangR #clustering #kernel #scalability

A Large Scale Clustering Scheme for Kernel K-Means (RZ, AIR), pp. 289–292.

KDD-2002-BennettME #algorithm #kernel #modelling #named

MARK: a boosting algorithm for heterogeneous kernel models (KPB, MM, MJE), pp. 24–31.

HPDC-2002-TaylorWGS #kernel #parallel #performance #predict #using

Using Kernel Couplings to Predict Parallel Application Performance (VET, XW, JG, RLS), pp. 125–134.

OSDI-2002-WhitakerSG #kernel #performance

Scale and Performance in the Denali Isolation Kernel (AW, MS, SDG), pp. 195–209.

ICDAR-2001-AyatCRS #image #kernel #named #pattern matching #pattern recognition #recognition

KMOD — A New Support Vector Machine Kernel with Moderate Decreasing for Pattern Recognition. Application to Digit Image Recognition (NEA, MC, LR, CYS), p. 1215–?.

ICDAR-2001-ZhaoL #documentation #kernel #recognition

High-Precision Two-Kernel Chinese Character Recognition in General Document Processing Systems (SLZ, HJL), pp. 617–621.

SCAM-2001-AntoniolVDCM #clone detection #identification #kernel #linux

Identifying Clones in the Linux Kernel (GA, UV, MDP, GC, EM), pp. 92–99.

AdaEurope-2001-Rivas #ada #embedded #kernel #realtime

Michael González Harbour: MaRTE OS: An Ada Kernel for Real-Time Embedded Applications (MAR), pp. 305–316.

AdaEurope-2001-ZamoranoRP #ada #implementation #kernel #realtime

Implementing Ada.Real_Time.Clock and Absolute Delays in Real-Time Kernels (JZ, JFR, JAdlP), pp. 317–327.

ICML-2001-CristianiniSL #kernel #semantics

Latent Semantic Kernels (NC, JST, HL), pp. 66–73.

ICML-2001-JoachimsCS #categorisation #hypermedia #kernel

Composite Kernels for Hypertext Categorisation (TJ, NC, JST), pp. 250–257.

ICML-2001-LawrenceS #kernel

Estimating a Kernel Fisher Discriminant in the Presence of Label Noise (NDL, BS), pp. 306–313.

SAC-2001-LauvsetJM #distributed #kernel #named

TOS: kernel support for distributed systems management (KJL, DJ, KM), pp. 412–419.

ASE-2000-MartinWTG #kernel

Formal Construction of the Mathematically Analyzed Separation Kernel (WM, PW, FST, AG), pp. 133–142.

VLDB-2000-RamsakMFZEB #database #kernel

Integrating the UB-Tree into a Database System Kernel (FR, VM, RF, MZ, KE, RB), pp. 263–272.

ITiCSE-2000-Holliday #kernel #operating system

A kernel-based synchronization assignment for the operating systems course (MAH), p. 184.

AdaEurope-2000-PuenteRZ #kernel #realtime

An Open Ravenscar Real-Time Kernel for GNAT (JAdlP, JFR, JZ), pp. 5–15.

ICML-2000-EvgeniouPPP #bound #kernel #performance

Bounds on the Generalization Performance of Kernel Machine Ensembles (TE, LPB, MP, TP), pp. 271–278.

ICML-2000-TeowL #kernel #parametricity

Selection of Support Vector Kernel Parameters for Improved Generalization (LNT, KFL), pp. 967–974.

ICML-2000-WilliamsS #classification #kernel

The Effect of the Input Density Distribution on Kernel-based Classifiers (CKIW, MWS), pp. 1159–1166.

TOOLS-EUROPE-2000-DuvalP #design pattern #interactive #kernel #object-oriented #using

Using the PAC-Amodeus Model and Design Patterns to Make Interactive an Existing Object-Oriented Kernel (TD, FP), pp. 407–418.

SAIG-2000-VuducD #automation #case study #code generation #experience #kernel

Code Generators for Automatic Tuning of Numerical Kernels: Experiences with FFTW (RV, JD), pp. 190–211.

ICSE-2000-PenixVELW #clustering #kernel #verification

Verification of time partitioning in the DEOS scheduler kernel (JP, WV, EE, AL, NW), pp. 488–497.

DAC-1999-BeniniMMOP #algorithm #approximate #component #kernel #optimisation

Kernel-Based Power Optimization of RTL Components: Exact and Approximate Extraction Algorithms (LB, GDM, EM, GO, MP), pp. 247–252.

DATE-1999-MaestreKBSHF #configuration management #kernel #scheduling

Kernel Scheduling in Reconfigurable Computing (RM, FJK, NB, HS, RH, MF), pp. 90–96.

ICDAR-1999-RemakiC #documentation #image #kernel #product line #using #visual notation

Visual Data Extraction from Bi-level Document Images using a Generalized Kernel Family with Compact Support, in Scale-Space (LR, MC), pp. 609–612.

AdaEurope-1999-ShenCB #ada #implementation #kernel #linux #multi

A “Bare-Machine” Implementation of Ada Multi-tasking Beneath the Linux Kernel (HS, AC, TPB), pp. 287–297.

KDD-1999-ZhangRL #database #estimation #kernel #performance #scalability #using

Fast Density Estimation Using CF-Kernel for Very Large Databases (TZ, RR, ML), pp. 312–316.

OSDI-1999-FordHLMT #execution #interface #kernel #modelling

Interface and Execution Models in the Fluke Kernel (BF, MH, JL, RM, PT), pp. 101–115.

OSDI-1999-TamchesM #fine-grained #kernel #operating system

Fine-Grained Dynamic Instrumentation of Commodity Operating System Kernels (AT, BPM), pp. 117–130.

LICS-1999-ColazzoG #kernel #recursion #type system

Subtyping Recursive Types in Kernel Fun (DC, GG), pp. 137–146.

DAC-1998-BeniniMLMOP #kernel #optimisation

Computational Kernels and their Application to Sequential Power Optimization (LB, GDM, AL, EM, GO, MP), pp. 764–769.

VLDB-1998-ArunJ #architecture #independence #interface #kernel #named

KODA — The Architecture And Interface of a Data Model Independent Kernel (GA, AJ), pp. 671–674.

ITiCSE-1998-MayoK #kernel #programming

A secure networked laboratory for kernel programming (JM, PK), pp. 175–177.

SIGAda-1998-WongL #ada #design #hardware #kernel

Kernel Ada to Unify Hardware and Software Design (SW, GL), pp. 28–38.

ICML-1998-FriessCC #algorithm #kernel #learning #performance

The Kernel-Adatron Algorithm: A Fast and Simple Learning Procedure for Support Vector Machines (TTF, NC, CC), pp. 188–196.

SAC-1998-RussellH #communication #kernel #performance #reliability

Efficient kernel support for reliable communication (RDR, PJH), pp. 541–550.

HPDC-1998-CzechHG #composition #flexibility #kernel #protocol

Flexible Protocol Stacks by In-Kernel Composition (CBC, BH, MG), pp. 344–345.

HPCA-1997-MarkatosK #kernel #operating system

User-Level DMA without Operating System Kernel Modification (EPM, MK), pp. 322–331.

SOSP-1997-FordBBLLS #kernel #research

The Flux OSKit: A Substrate for Kernel and Language Research (BF, GB, GB, JL, AL, OS), pp. 38–51.

SOSP-1997-HartigHLSW #kernel #performance

The Performance of µKernel-Based Systems (HH, MH, JL, SS, JW), pp. 66–77.

CADE-1997-NieuwenhuisRV #algorithm #automation #data type #deduction #kernel #named #similarity

Dedan: A Kernel of Data Structures and Algorithms for Automated Deduction with Equality Clauses (RN, JMR, MÁV), pp. 49–52.

DAC-1996-VercauterenLM96a #architecture #embedded #kernel #realtime

A Strategy for Real-Time Kernel Support in Application-Specific HW/SW Embedded Architectures (SV, BL, HDM), pp. 678–683.

ICFP-1996-Ghelli #complexity #kernel #type checking #type system

Complexity of Kernel Fun Subtype Checking (GG), pp. 134–145.

ICPR-1996-DePieroT #adaptation #image #kernel #realtime #segmentation #using

Real-time range image segmentation using adaptive kernels and Kalman filtering (FWD, MMT), pp. 573–577.

ISSTA-1996-BarjaktarovicCJ #functional #kernel #protocol #specification #using #verification

Formal Specification and Verification of the Kernel Functional Unit of the OSI Session Layer Protocol and Service Using CCS (MB, SKC, KJ), pp. 270–279.

ICML-1995-SmythGF #classification #estimation #kernel #using

Retrofitting Decision Tree Classifiers Using Kernel Density Estimation (PS, AGG, UMF), pp. 506–514.

SOSP-1995-Liedtke #kernel #on the

On micro-Kernel Construction (JL), pp. 237–250.

CAiSE-1994-Lonchamp #collaboration #kernel

A Collaborative Process-Centered Environment Kernel (JL), pp. 28–41.

ICDAR-1993-LinSOS #information management #kernel #object-oriented

An object-oriented kernel for geographical information systems (YML, TS, YO, MS), pp. 878–881.

SEKE-1993-Weis #design #distributed #kernel #object-oriented

Object-Oriented Design of a Distributed Blackboard Kernel (MW), pp. 285–287.

SOSP-1993-Liedtke #design #kernel

Improving IPC by Kernel Design (JL), pp. 175–188.

ICLP-1993-TickB #compilation #evaluation #kernel #performance #runtime

Performance Evaluation of Monaco Compiler and Runtime Kernel (ET, CB), pp. 757–773.

SOSP-WIP-1991-Druschel92 #architecture #composition #kernel #orthogonal #why

Modularity and Protection are Orthogonal, or “Why µ-kernel Architectures are Flawed” (Abstract) (PD), p. 22.

SOSP-WIP-1991-Finlayson92 #communication #kernel

Structuring and Communication in the Vanguard OS Kernel (Abstract) (RSF), p. 30.

SOSP-WIP-1991-MassalinP92 #kernel #multi

A Lock-Free Multiprocessor OS Kernel (Abstract) (HM, CP), p. 8.

OOPSLA-1991-YaseenSL #kernel

An Extensible Kernel Object Management System (RY, SYWS, HL), pp. 247–263.

SOSP-1991-AndersonBLL #effectiveness #kernel #parallel

Scheduler Activations: Effective Kernel Support for the User-Level Management of Parallelism (TEA, BNB, EDL, HML), pp. 95–109.

CAV-1991-BevierS #kernel #proving #specification

Mechanically Checked Proofs of Kernel Specification (WRB, JFSA), pp. 70–82.

ISLP-1991-JansonH #kernel #paradigm #programming

Programming Paradigms of the Andorra Kernel Language (SJ, SH), pp. 167–183.

DAC-1990-FeghhiMK #design #kernel #object-oriented #process

An Object-Oriented Kernel for an Integrated Design and Process Planning System (SJF, MMM, RLK), pp. 437–443.

OOPSLA-ECOOP-1990-HabertA #kernel #named #object-oriented

COOL: Kernel Support for Object-Oriented Environments (SH, VA), pp. 269–277.

PPoPP-1990-RamkumarK #compilation #implementation #kernel #parallel #prolog

A Chare Kernel Implementation of a Parallel Prolog Compiler (BR, LVK), pp. 99–108.

CLP-1990-HaridiJ90 #kernel #prolog

Kernel Andorra Prolog and its Computation Model (SH, SJ), pp. 31–46.

SOSP-1989-AbrossimovR #kernel #memory management #operating system

Generic Virtual Memory Management for Operating System Kernels (VA, MR, MS), pp. 123–136.

SOSP-1989-HutchinsonPAO #design #kernel

RPC in the x-Kernel: Evaluating New Design Techniques (NCH, LLP, MBA, SWO), pp. 91–101.

SOSP-1989-MassalinP #kernel #synthesis #thread

Threads and Input/Output in the Synthesis Kernel (HM, CP), pp. 191–201.

DAC-1988-WolfKA #algorithm #kernel #logic #multi

A Kernel-Finding State Assignment Algorithm for Multi-Level Logic (WW, KK, JA), pp. 433–438.

VDME-1988-Goldsack #kernel #operating system #specification

Specification of an Operating System Kernel FOREST and VDM compared (SJG), pp. 88–100.

LFP-1988-BobrowK #kernel #lisp #object-oriented

The Common Lisp Object System Metaobject Kernel: A Status Report (DGB, GK), pp. 309–315.

ECOOP-1988-DoiKH #concurrent #implementation #kernel #object-oriented #operating system #using

An Implementation of an Operating System Kernel Using Concurrent Object-Oriented Language ABCL/c+ (ND, YK, KH), pp. 250–266.

OOPSLA-1988-LaLondeG #backtracking #kernel #smalltalk

Building a Backtracking Facility in Smalltalk Without Kernel Support (WRL, MVG), pp. 105–122.

SIGMOD-1987-PaulSSWD #architecture #database #implementation #kernel

Architecture and Implementation of the Darmstadt Database Kernel System (HBP, HJS, MHS, GW, UD), pp. 196–207.

VLDB-1987-SchollPS #kernel #relational

Supporting Flat Relations by a Nested Relational Kernel (MHS, HBP, HJS), pp. 137–146.

OOPSLA-1986-JonesR #distributed #kernel #object-oriented

Mach and Matchmaker: Kernel and Language Support for Object-Oriented Distributed Systems (MBJ, RFR), pp. 67–77.

SOSP-1985-CarrieroG #kernel

The S/Net’s Linda Kernel (extended abstract) (NC, DG), p. 160.

SIGMOD-1984-DielKLSS #data transformation #kernel #operating system

Data Management Facilities of an Operating System Kernel (HD, GK, NGL, MS, BS), pp. 58–69.

SOSP-1983-CheritonZ #distributed #kernel #performance

The Distributed V Kernel and its Performance for Diskless Workstations (DRC, WZ), pp. 129–140.

SOSP-1983-Silverman #kernel #operating system #security #verification

Reflections on the Verification of the Security of an Operating System Kernel (JMS), pp. 143–154.

ICSE-1982-BerettaBFNSS #interactive #kernel #named

XS-1: An Integrated Interactive System and Its Kernel (GB, HB, PF, JN, JS, HS), pp. 340–349.

CADE-1982-LuskMO #architecture #kernel #logic

Logic Machine Architecture: Kernel Funtions (ELL, WM, RAO), pp. 70–84.

SOSP-1981-Bartlett #kernel

A NonStop Kernel (JFB), pp. 22–19.

SOSP-1981-RashidR #communication #kernel #named #network #operating system

Accent: A Communication Oriented Network Operating System Kernel (RFR, GGR), pp. 64–75.

SOSP-J-1979-WalkerKP80 #kernel #security #specification #verification

Specification and Verification of the UCLA Unix Security Kernel (BJW, RAK, GJP), pp. 118–131.

SOSP-1979-WalkerKP #kernel #security #specification #verification

Specification and Verification of the UCLA Unix Security Kernel (Extended Abstract) (BJW, RAK, GJP), pp. 64–65.

VLDB-1977-DownsP #database #design #kernel

A Kernel Design for a Secure Data Base Management System (DD, GJP), pp. 507–514.

SOSP-1977-McDaniel #distributed #kernel #metric #named

METRIC: A Kernel Instrumentation System for Distributed Environments (GM), pp. 93–99.

SOSP-1977-SchroederCS #design #kernel #multi

The Multics Kernel Design Project (MDS, DDC, JHS), pp. 43–56.

SOSP-J-1975-Millen76 #kernel #security #validation

Security Kernel Validation in Practice (JKM), pp. 243–250.

SOSP-1975-Schroeder #kernel #multi #security

Engineering a Security Kernel for Multics (MDS), pp. 25–32.

SOSP-1973-SpierHC #architecture #implementation #kernel

An Experimental Implementation on the Kernel/Domain Architecture (MJS, TNH, DNC), pp. 8–21.