matrix

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matrix

Tag #matrix

627 papers:

CC-2020-PizzutiSD #functional #generative #information retrieval #multi #performance

Generating fast sparse matrix vector multiplication from a high level generic functional IR (FP, MS, CD), pp. 85–95.

DLT-2019-AzfarCCJ #bound #linear #set

A Linear Bound on the K-Rendezvous Time for Primitive Sets of NZ Matrices (UA, CC, LC, RMJ), pp. 59–73.

CIKM-2019-ChenZLYY #approximate #modelling

Synergizing Local and Global Models for Matrix Approximation (CC0, HZ, DL, JY, XY), pp. 2197–2200.

CIKM-2019-LiuHDO

Convolution-Consistent Collective Matrix Completion (XL, JH, SD, LO), pp. 2209–2212.

CIKM-2019-PanWWYZZ #network #predict

Matrix Factorization for Spatio-Temporal Neural Networks with Applications to Urban Flow Prediction (ZP, ZW, WW, YY, JZ, YZ), pp. 2683–2691.

ICML-2019-0001PRW #algorithm #performance

Faster Algorithms for Binary Matrix Factorization (RK0, RP, AR, DPW), pp. 3551–3559.

ICML-2019-FrerixB #approximate #effectiveness #orthogonal

Approximating Orthogonal Matrices with Effective Givens Factorization (TF, JB), pp. 1993–2001.

ICML-2019-KasaiJM #adaptation #algorithm #probability

Riemannian adaptive stochastic gradient algorithms on matrix manifolds (HK, PJ, BM), pp. 3262–3271.

ICML-2019-MercadoT0 #clustering #graph

Spectral Clustering of Signed Graphs via Matrix Power Means (PM0, FT, MH0), pp. 4526–4536.

ICML-2019-NayerNV #metric #rank

Phaseless PCA: Low-Rank Matrix Recovery from Column-wise Phaseless Measurements (SN, PN, NV), pp. 4762–4770.

ICML-2019-SotoLF #3d #distributed #multi #polynomial

Dual Entangled Polynomial Code: Three-Dimensional Coding for Distributed Matrix Multiplication (PS, JL, XF), pp. 5937–5945.

ICML-2019-TiomokoCBG #estimation #metric #random #scalability

Random Matrix Improved Covariance Estimation for a Large Class of Metrics (MT, RC, FB, GG), pp. 6254–6263.

ICML-2019-WuDSYHSRK #learning #metric

Learning a Compressed Sensing Measurement Matrix via Gradient Unrolling (SW, AD, SS, FXY, DNHR, DS, AR, SK), pp. 6828–6839.

ICML-2019-YangZXK #effectiveness #estimation #named #robust #towards

ME-Net: Towards Effective Adversarial Robustness with Matrix Estimation (YY, GZ, ZX, DK), pp. 7025–7034.

ICML-2019-ZhangZLWZ #algorithm #orthogonal

Greedy Orthogonal Pivoting Algorithm for Non-Negative Matrix Factorization (KZ, SZ, JL, JW, JZ), pp. 7493–7501.

KDD-2019-HanYZSLZ0K #graph #identification #named #network

GCN-MF: Disease-Gene Association Identification By Graph Convolutional Networks and Matrix Factorization (PH, PY, PZ, SS, YL0, JZ, XG0, PK), pp. 705–713.

KDD-2019-WangYCW00 #graph #modelling #predict

Origin-Destination Matrix Prediction via Graph Convolution: a New Perspective of Passenger Demand Modeling (YW, HY, HC, TW, JX0, KZ0), pp. 1227–1235.

ICSME-2018-SchlieSS #analysis #matlab #modelling #multi #using

Comparing Multiple MATLAB/Simulink Models Using Static Connectivity Matrix Analysis (AS, SS, IS), pp. 160–171.

MSR-2018-BenkocziGHK08 #approach #design

A design structure matrix approach for measuring co-change-modularity of software products (RB, DRG, SH, MAK), pp. 331–335.

DLT-2018-CatalanoJ #probability #set

The Synchronizing Probability Function for Primitive Sets of Matrices (CC, RMJ), pp. 194–205.

AIIDE-2018-SifaYRB #architecture #bottom-up #comparative #evaluation #game studies #online #recommendation

Matrix and Tensor Factorization Based Game Content Recommender Systems: A Bottom-Up Architecture and a Comparative Online Evaluation (RS, RY, RR, CB), pp. 102–108.

CIKM-2018-GongLZLZK #online #predict

Network-wide Crowd Flow Prediction of Sydney Trains via Customized Online Non-negative Matrix Factorization (YG, ZL, JZ0, WL0, YZ, CK), pp. 1243–1252.

CIKM-2018-KwonKC #rank #self

Improving Low-Rank Matrix Completion with Self-Expressiveness (MK, HGK, HJC), pp. 1651–1654.

CIKM-2018-LeeOFKY #memory management

Disk-based Matrix Completion for Memory Limited Devices (DL, JO, CF, BK, HY), pp. 1093–1102.

CIKM-2018-TranLL0 #recommendation

Regularizing Matrix Factorization with User and Item Embeddings for Recommendation (TT, KL, YL, DL0), pp. 687–696.

CIKM-2018-YeCZ #community #detection

Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection (FY, CC, ZZ), pp. 1393–1402.

ECIR-2018-Zhang0LZ #analysis #representation #sentiment #twitter #using

Unsupervised Sentiment Analysis of Twitter Posts Using Density Matrix Representation (YZ, DS0, XL, PZ0), pp. 316–329.

ICML-2018-0002TT #revisited

Differentially Private Matrix Completion Revisited (PJ0, ODT, AT), pp. 2220–2229.

ICML-2018-BravermanCKLWY #data type #multi #performance

Matrix Norms in Data Streams: Faster, Multi-Pass and Row-Order (VB, SRC, RK, YL0, DPW, LFY), pp. 648–657.

ICML-2018-ChenXW0G #estimation #optimisation #precise

Covariate Adjusted Precision Matrix Estimation via Nonconvex Optimization (JC, PX0, LW, JM0, QG), pp. 921–930.

ICML-2018-DouikH #clustering #graph #optimisation #probability #rank

Low-Rank Riemannian Optimization on Positive Semidefinite Stochastic Matrices with Applications to Graph Clustering (AD, BH), pp. 1298–1307.

ICML-2018-FilstroffLF

Closed-form Marginal Likelihood in Gamma-Poisson Matrix Factorization (LF, AL, CF), pp. 1505–1513.

ICML-2018-GanianKOS #algorithm #problem

Parameterized Algorithms for the Matrix Completion Problem (RG, IAK, SO, SS), pp. 1642–1651.

ICML-2018-Huang #sketching

Near Optimal Frequent Directions for Sketching Dense and Sparse Matrices (ZH), pp. 2053–2062.

ICML-2018-JawanpuriaM #framework #learning #rank

A Unified Framework for Structured Low-rank Matrix Learning (PJ, BM), pp. 2259–2268.

ICML-2018-LiaoC18a #approach #learning #random

The Dynamics of Learning: A Random Matrix Approach (ZL, RC), pp. 3078–3087.

ICML-2018-MaOSS

Gradient Descent for Sparse Rank-One Matrix Completion for Crowd-Sourced Aggregation of Sparsely Interacting Workers (YM, AO, CS, VS), pp. 3341–3350.

ICML-2018-MaWCC #estimation #retrieval #statistics

Implicit Regularization in Nonconvex Statistical Estimation: Gradient Descent Converges Linearly for Phase Retrieval and Matrix Completion (CM, KW, YC, YC0), pp. 3351–3360.

ICML-2018-MullerMI #kernel

Kernelized Synaptic Weight Matrices (LKM, JNPM, GI), pp. 3651–3660.

ICML-2018-Sinha #clustering #random #using

K-means clustering using random matrix sparsification (KS), pp. 4691–4699.

ICML-2018-SunYDB #network

Convolutional Imputation of Matrix Networks (QS, MY, DLD, SPB), pp. 4825–4834.

ICML-2018-WangLS #multi

Coded Sparse Matrix Multiplication (SW, JL, NBS), pp. 5139–5147.

ICML-2018-ZhangDG #induction #multi #performance

Fast and Sample Efficient Inductive Matrix Completion via Multi-Phase Procrustes Flow (XZ, SSD, QG), pp. 5751–5760.

ICML-2018-ZhangFS #estimation #scalability

Large-Scale Sparse Inverse Covariance Estimation via Thresholding and Max-Det Matrix Completion (RYZ, SF, SS), pp. 5761–5770.

ICML-2018-ZhangWYG #analysis #rank

A Primal-Dual Analysis of Global Optimality in Nonconvex Low-Rank Matrix Recovery (XZ, LW, YY, QG), pp. 5857–5866.

ICPR-2018-GuoD #3d #distance #estimation

Occluded Joints Recovery in 3D Human Pose Estimation based on Distance Matrix (XG, YD), pp. 1325–1330.

ICPR-2018-PanNZ #optimisation #orthogonal

Structured Convex Optimization Method for Orthogonal Nonnegative Matrix Factorization (JP, MKN, XZ), pp. 459–464.

ICPR-2018-ZhangZLYZW #adaptation #composition #robust

Robust Adaptive Label Propagation by Double Matrix Decomposition (HZ, ZZ0, SL0, QY, MZ, MW0), pp. 2160–2165.

KDD-2018-HuangXXSNC

Active Feature Acquisition with Supervised Matrix Completion (SJH, MX, MKX, MS, GN, SC), pp. 1571–1579.

KDD-2018-ZhangWLTYY #learning #self

Discrete Ranking-based Matrix Factorization with Self-Paced Learning (YZ0, HW, DL, IWT, HY, GY), pp. 2758–2767.

CASE-2018-LuoZ #recommendation

Unconstrained Non-negative Factorization of High-dimensional and Sparse Matrices in Recommender Systems (XL0, MZ), pp. 1406–1413.

CGO-2018-BarthelsCB #algorithm

The generalized matrix chain algorithm (HB, MC, PB), pp. 138–148.

ESOP-2018-OstermannJ #algebra #data type

Dualizing Generalized Algebraic Data Types by Matrix Transposition (KO, JJ), pp. 60–85.

CIKM-2017-OsickaT #composition #concept

Boolean Matrix Decomposition by Formal Concept Sampling (PO, MT), pp. 2243–2246.

CIKM-2017-WangCHLSY #predict

Coupled Sparse Matrix Factorization for Response Time Prediction in Logistics Services (YW, JC, LH0, WL, LS, PSY), pp. 939–947.

CIKM-2017-Yang17a #predict

Bayesian Heteroscedastic Matrix Factorization for Conversion Rate Prediction (HY), pp. 2407–2410.

CIKM-2017-YuCY #algebra #finite #rank #recommendation

Low-Rank Matrix Completion over Finite Abelian Group Algebras for Context-Aware Recommendation (CAY, TSC, YHY), pp. 2415–2418.

ECIR-2017-ManotumruksaMO #network #predict #rating #social #word

Matrix Factorisation with Word Embeddings for Rating Prediction on Location-Based Social Networks (JM, CM, IO), pp. 647–654.

ICML-2017-Allen-ZhuL17a #approximate #component #performance

Faster Principal Component Regression and Stable Matrix Chebyshev Approximation (ZAZ, YL), pp. 107–115.

ICML-2017-ChenLK #estimation #performance #towards

Toward Efficient and Accurate Covariance Matrix Estimation on Compressed Data (XC, MRL, IK), pp. 767–776.

ICML-2017-CherapanamjeriG #robust

Nearly Optimal Robust Matrix Completion (YC, KG, PJ0), pp. 797–805.

ICML-2017-LiL #correlation

Provable Alternating Gradient Descent for Non-negative Matrix Factorization with Strong Correlations (YL, YL), pp. 2062–2070.

ICML-2017-Loukas #how #question

How Close Are the Eigenvectors of the Sample and Actual Covariance Matrices? (AL), pp. 2228–2237.

ICML-2017-MaoSC #on the #symmetry

On Mixed Memberships and Symmetric Nonnegative Matrix Factorizations (XM0, PS, DC), pp. 2324–2333.

ICML-2017-MeiCGH

Nonnegative Matrix Factorization for Time Series Recovery From a Few Temporal Aggregates (JM, YdC, YG, GH), pp. 2382–2390.

ICML-2017-OngieWNB #algebra #modelling #rank

Algebraic Variety Models for High-Rank Matrix Completion (GO, RW, RDN, LB), pp. 2691–2700.

ICML-2017-PenningtonB #geometry #network #random

Geometry of Neural Network Loss Surfaces via Random Matrix Theory (JP, YB), pp. 2798–2806.

ICML-2017-RukatHTY

Bayesian Boolean Matrix Factorisation (TR, CCH, MKT, CY), pp. 2969–2978.

ICML-2017-WangZG #framework #rank

A Unified Variance Reduction-Based Framework for Nonconvex Low-Rank Matrix Recovery (LW, XZ, QG), pp. 3712–3721.

ICML-2017-ZhaoLW0TY #network #rank

Theoretical Properties for Neural Networks with Weight Matrices of Low Displacement Rank (LZ, SL, YW, ZL0, JT0, BY0), pp. 4082–4090.

KDD-2017-DauK

Matrix Profile V: A Generic Technique to Incorporate Domain Knowledge into Motif Discovery (HAD, EJK), pp. 125–134.

KDD-2017-LianLG00C

Discrete Content-aware Matrix Factorization (DL, RL, YG, KZ0, XX0, LC), pp. 325–334.

KDD-2017-WangSZTJZ #modelling #multi

Multi-Modality Disease Modeling via Collective Deep Matrix Factorization (QW, MS, LZ, PT0, SJ, JZ), pp. 1155–1164.

KDD-2017-ZhangLZXXY #sketching

Randomization or Condensation?: Linear-Cost Matrix Sketching Via Cascaded Compression Sampling (KZ0, CL, JZ0, HX, EPX, JY), pp. 615–623.

CASE-2017-DingWL #approach #feedback #logic #network

Output feedback disturbance decoupling of boolean control networks: A logical matrix factorization approach (XD, SW, HL0), pp. 181–186.

CASE-2017-HanCZ #approach #detection

Matrix approach to detectability of discrete event systems under partial observation (XH, ZC, JZ), pp. 187–192.

CASE-2017-Luo0 #estimation

Non-negativity constrained missing data estimation for high-dimensional and sparse matrices (XL0, SL0), pp. 1368–1373.

EDM-2016-ShimadaOO #mining

Browsing-Pattern Mining from e-Book Logs with Non-negative Matrix Factorization (AS, FO, HO), pp. 636–637.

ICSME-2016-RahimiC #feature model #named #source code

Artifact: Cassandra Source Code, Feature Descriptions across 27 Versions, with Starting and Ending Version Trace Matrices (MR, JCH), p. 612.

CIKM-2016-BrayteeCKL

Balanced Supervised Non-Negative Matrix Factorization for Childhood Leukaemia Patients (AB, DRC, PJK, WL0), pp. 2405–2408.

CIKM-2016-Duong-TrungSS #predict #realtime #twitter

Near Real-time Geolocation Prediction in Twitter Streams via Matrix Factorization Based Regression (NDT, NS, LST), pp. 1973–1976.

CIKM-2016-LiuHZSL #adaptation #online

Online Adaptive Passive-Aggressive Methods for Non-Negative Matrix Factorization and Its Applications (CL, SCHH, PZ, JS, EPL), pp. 1161–1170.

CIKM-2016-PengKYC #named #rank #scalability

RAP: Scalable RPCA for Low-rank Matrix Recovery (CP, ZK, MY, QC), pp. 2113–2118.

CIKM-2016-ZamaniDSC #feedback #pseudo

Pseudo-Relevance Feedback Based on Matrix Factorization (HZ, JD, AS, WBC), pp. 1483–1492.

CIKM-2016-ZhangTSYS #orthogonal #performance

Efficient Orthogonal Non-negative Matrix Factorization over Stiefel Manifold (WEZ, MT, QZS, LY, QS), pp. 1743–1752.

CIKM-2016-ZhangYZZ #classification #network

Collective Classification via Discriminative Matrix Factorization on Sparsely Labeled Networks (DZ, JY, XZ, CZ), pp. 1563–1572.

ECIR-2016-BaluFA #scalability #sketching

Sketching Techniques for Very Large Matrix Factorization (RB, TF, LA), pp. 782–788.

ICML-2016-BhattacharyaGKP

Non-negative Matrix Factorization under Heavy Noise (CB, NG, RK, JP), pp. 1426–1434.

ICML-2016-ColomboV #composition

Tensor Decomposition via Joint Matrix Schur Decomposition (NC, NV), pp. 2820–2828.

ICML-2016-CouilletWAS #approach #network #random

A Random Matrix Approach to Echo-State Neural Networks (RC, GW, HTA, HS), pp. 517–525.

ICML-2016-CutajarOCF #kernel

Preconditioning Kernel Matrices (KC, MAO, JPC, MF), pp. 2529–2538.

ICML-2016-GrosseM #approximate

A Kronecker-factored approximate Fisher matrix for convolution layers (RBG, JM), pp. 573–582.

ICML-2016-GuiHG #estimation #performance #rank #towards

Towards Faster Rates and Oracle Property for Low-Rank Matrix Estimation (HG, JH0, QG), pp. 2300–2309.

ICML-2016-GyorgyS

Shifting Regret, Mirror Descent, and Matrices (AG, CS), pp. 2943–2951.

ICML-2016-KapralovPW #how #multi

How to Fake Multiply by a Gaussian Matrix (MK, VKP, DPW), pp. 2101–2110.

ICML-2016-LiCLYSC #approximate #rank

Low-Rank Matrix Approximation with Stability (DL, CC0, QL, JY, LS, SMC), pp. 295–303.

ICML-2016-LiSJ

Gaussian quadrature for matrix inverse forms with applications (CL, SS, SJ), pp. 1766–1775.

ICML-2016-LouizosW #learning #performance

Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteriors (CL, MW), pp. 1708–1716.

ICML-2016-MenschMTV #learning #taxonomy

Dictionary Learning for Massive Matrix Factorization (AM, JM, BT, GV), pp. 1737–1746.

ICML-2016-PeyreCS #distance #kernel

Gromov-Wasserstein Averaging of Kernel and Distance Matrices (GP, MC, JS), pp. 2664–2672.

ICML-2016-RahmaniA #approach #composition #learning #performance

A Subspace Learning Approach for High Dimensional Matrix Decomposition with Efficient Column/Row Sampling (MR, GKA), pp. 1206–1214.

ICML-2016-RavanbakhshPG #message passing

Boolean Matrix Factorization and Noisy Completion via Message Passing (SR, BP, RG), pp. 945–954.

ICML-2016-TuBSSR #equation #linear #rank

Low-rank Solutions of Linear Matrix Equations via Procrustes Flow (ST, RB, MS, MS, BR), pp. 964–973.

ICML-2016-UbaruS #performance #rank #scalability

Fast methods for estimating the Numerical rank of large matrices (SU, YS), pp. 468–477.

ICML-2016-WangMCBPRGUA #analysis #network

Analysis of Deep Neural Networks with Extended Data Jacobian Matrix (SW, ArM, RC, JAB, MP, MR, KG, GU, ÖA), pp. 718–726.

ICML-2016-XuZCL #optimisation #probability

Matrix Eigen-decomposition via Doubly Stochastic Riemannian Optimization (ZX, PZ, JC, XL0), pp. 1660–1669.

ICPR-2016-Bai0CH16a #graph #novel

A novel entropy-based graph signature from the average mixing matrix (LB0, LR0, LC, ERH), pp. 1339–1344.

ICPR-2016-CaetanoSS #novel

Optical Flow Co-occurrence Matrices: A novel spatiotemporal feature descriptor (CC, JAdS, WRS), pp. 1947–1952.

ICPR-2016-ElTantawyS #novel #physics #using

A novel method for segmenting moving objects in aerial imagery using matrix recovery and physical spring model (AE, MSS), pp. 3898–3903.

ICPR-2016-KohjimaMS #multi

Non-negative multiple matrix factorization with Euclidean and kullback-leibler mixed divergences (MK, TM, HS), pp. 2515–2520.

ICPR-2016-Lan0DAH #bound

A PAC bound for joint matrix completion based on Partially Collective Matrix Factorization (CL, XL0, YD, JSA, JH), pp. 2628–2633.

ICPR-2016-LuoTYZ #adaptation #approximate

Dual approximated nuclear norm based matrix regression via adaptive line search scheme (LL, QT, JY0, YZ), pp. 2538–2543.

ICPR-2016-PuZZDY #approximate #clustering #multi #robust

Multiview clustering based on Robust and Regularized Matrix Approximation (JP, QZ0, LZ, BD, JY), pp. 2550–2555.

ICPR-2016-TripodiVP #clustering

Context aware nonnegative matrix factorization clustering (RT, SV, MP), pp. 1719–1724.

ICPR-2016-YouXLZCTZ #image #rank

Single image super-resolution with non-local balanced low-rank matrix restoration (XY, WX, JL, PZ0, YmC, YT, NZ), pp. 1255–1260.

ICPR-2016-ZorYMWKA #named #optimisation

BeamECOC: A local search for the optimization of the ECOC matrix (CZ, BAY, EM, TW, JK, EA), pp. 198–203.

KDD-2016-GhashamiLP #algorithm #performance

Efficient Frequent Directions Algorithm for Sparse Matrices (MG, EL, JMP), pp. 845–854.

KDD-2016-SiCHRD #induction

Goal-Directed Inductive Matrix Completion (SS, KYC, CJH, NR, ISD), pp. 1165–1174.

KDD-2016-TabeiSYP #scalability

Scalable Partial Least Squares Regression on Grammar-Compressed Data Matrices (YT, HS, YY, SJP), pp. 1875–1884.

KDD-2016-WangNH #clustering #graph #probability

Structured Doubly Stochastic Matrix for Graph Based Clustering: Structured Doubly Stochastic Matrix (XW, FN, HH), pp. 1245–1254.

KDD-2016-WangZD #data mining #mining #modelling

Healthcare Data Mining with Matrix Models (FW0, PZ0, JD), pp. 2137–2138.

KDD-2016-ZadehMUYPVSSZ #optimisation

Matrix Computations and Optimization in Apache Spark (RBZ, XM, AU, BY, LP, SV, ERS, AS, MZ), pp. 31–38.

SKY-2016-Exman #composition #concept

The Modularity Matrix as a Source of Software Conceptual Integrity (IE), pp. 27–35.

SAS-2016-GangeNSSS #bound

Exploiting Sparsity in Difference-Bound Matrices (GG, JAN, PS, HS, PJS), pp. 189–211.

SAS-2016-JournaultM #abstract interpretation #correctness #functional #source code #static analysis

Static Analysis by Abstract Interpretation of the Functional Correctness of Matrix Manipulating Programs (MJ, AM), pp. 257–277.

CASE-2016-YangC #adaptation #evolution

Evolution Strategy with Covariance Matrix and decreasing step-size Adaptation (CMDSA-ES) (ZY, XC), pp. 1008–1013.

CGO-2016-SpampinatoP #algebra #compilation #linear

A basic linear algebra compiler for structured matrices (DGS, MP), pp. 117–127.

CSL-2016-Leiss #algebra

The Matrix Ring of a μ-Continuous Chomsky Algebra is mu-Continuous (HL), p. 15.

PODS-2015-GuchtWWZ #communication #complexity #distributed #multi

The Communication Complexity of Distributed Set-Joins with Applications to Matrix Multiplication (DVG, RW, DPW, QZ), pp. 199–212.

SIGMOD-2015-TeflioudiGM #named #performance #retrieval #scalability

LEMP: Fast Retrieval of Large Entries in a Matrix Product (CT, RG, OM), pp. 107–122.

SIGMOD-2015-YuSC #dependence #distributed #performance

Exploiting Matrix Dependency for Efficient Distributed Matrix Computation (LY, YS, BC), pp. 93–105.

EDM-2015-VossSMS #approach #dataset #learning

A Transfer Learning Approach for Applying Matrix Factorization to Small ITS Datasets (LV, CS, CM, LST), pp. 372–375.

ICALP-v1-2015-GawrychowskiMW #query

Submatrix Maximum Queries in Monge Matrices Are Equivalent to Predecessor Search (PG, SM, OW), pp. 580–592.

ICALP-v1-2015-Yu #algorithm #combinator #multi

An Improved Combinatorial Algorithm for Boolean Matrix Multiplication (HY), pp. 1094–1105.

LATA-2015-MakowskyL #graph #word

Hankel Matrices: From Words to Graphs (JAM, NL), pp. 47–55.

RTA-2015-Waldmann

Matrix Interpretations on Polyhedral Domains (JW), pp. 318–333.

DiGRA-2015-MarczakSH #comprehension #experience #similarity #using

Understanding Player Experience Through the Use of Similarity Matrix (RM, GS, PH).

CHI-2015-LiuS #representation #visual notation #visualisation

The Effects of Representation and Juxtaposition on Graphical Perception of Matrix Visualization (XL, HWS), pp. 269–278.

CSCW-2015-LeeP #concept #coordination #framework

From The Matrix to a Model of Coordinated Action (MoCA): A Conceptual Framework of and for CSCW (CPL, DP), pp. 179–194.

HIMI-IKC-2015-HamaguchiMTKN #design #generative #using

A Method for Generation and Check of Alarm Configurations Using Cause-Effect Matrices for Plant Alarm System Design (TH, BM, KT, NK, MN), pp. 549–556.

HIMI-IKC-2015-WangN #analysis #identification

Dot Matrix Analysis of Plant Operation Data for Identifying Sequential Alarms Triggered by Single Root Cause (ZW, MN), pp. 152–158.

CIKM-2015-AilemRN #clustering #composition #graph

Co-clustering Document-term Matrices by Direct Maximization of Graph Modularity (MA, FR, MN), pp. 1807–1810.

CIKM-2015-GaoNCH #robust

Robust Capped Norm Nonnegative Matrix Factorization: Capped Norm NMF (HG, FN, TWC, HH), pp. 871–880.

CIKM-2015-JiangLSW #behaviour #clustering #predict #twitter

Message Clustering based Matrix Factorization Model for Retweeting Behavior Prediction (BJ, JL, YS, LW), pp. 1843–1846.

CIKM-2015-JoKB #analysis #gpu #multi #network #performance #scalability #social

Efficient Sparse Matrix Multiplication on GPU for Large Social Network Analysis (YYJ, SWK, DHB), pp. 1261–1270.

CIKM-2015-KohjimaMS #probability

Probabilistic Non-negative Inconsistent-resolution Matrices Factorization (MK, TM, HS), pp. 1855–1858.

CIKM-2015-LiuTL #learning #multi #named #scalability

MF-Tree: Matrix Factorization Tree for Large Multi-Class Learning (LL, PNT, XL), pp. 881–890.

CIKM-2015-ManSHC #adaptation #multi #recommendation

Context-Adaptive Matrix Factorization for Multi-Context Recommendation (TM, HS, JH, XC), pp. 901–910.

CIKM-2015-ShinCLD #induction #recommendation

Tumblr Blog Recommendation with Boosted Inductive Matrix Completion (DS, SC, KCL, ISD), pp. 203–212.

ECIR-2015-GaillardR #adaptation #collaboration

Time-Sensitive Collaborative Filtering through Adaptive Matrix Completion (JG, JMR), pp. 327–332.

ICML-2015-GeZ

Intersecting Faces: Non-negative Matrix Factorization With New Guarantees (RG, JZ), pp. 2295–2303.

ICML-2015-GrosseS #scalability

Scaling up Natural Gradient by Sparsely Factorizing the Inverse Fisher Matrix (RBG, RS), pp. 2304–2313.

ICML-2015-HsiehND #learning

PU Learning for Matrix Completion (CJH, NN, ISD), pp. 2445–2453.

ICML-2015-LuoXZL

Support Matrix Machines (LL, YX, ZZ, WJL), pp. 938–947.

ICML-2015-QiuXHLC #estimation #process #robust

Robust Estimation of Transition Matrices in High Dimensional Heavy-tailed Vector Autoregressive Processes (HQ, SX, FH, HL, BC), pp. 1843–1851.

ICML-2015-SaRO #convergence #probability #problem

Global Convergence of Stochastic Gradient Descent for Some Non-convex Matrix Problems (CDS, CR, KO), pp. 2332–2341.

ICML-2015-UbaruMS #approximate #fault #rank #using

Low Rank Approximation using Error Correcting Coding Matrices (SU, AM, YS), pp. 702–710.

ICML-2015-WangY #learning #multi

Safe Screening for Multi-Task Feature Learning with Multiple Data Matrices (JW, JY), pp. 1747–1756.

ICML-2015-XuJZ #algorithm

CUR Algorithm for Partially Observed Matrices (MX, RJ, ZHZ), pp. 1412–1421.

ICML-2015-ZhangWJ #algorithm #bound #distributed #estimation #performance #rank

Distributed Estimation of Generalized Matrix Rank: Efficient Algorithms and Lower Bounds (YZ, MJW, MIJ), pp. 457–465.

ICML-2015-ZukW #metric #rank

Low-Rank Matrix Recovery from Row-and-Column Affine Measurements (OZ, AW), pp. 2012–2020.

KDD-2015-AhnKLRW #distributed #probability #scalability #using

Large-Scale Distributed Bayesian Matrix Factorization using Stochastic Gradient MCMC (SA, AK, NL, SR, MW), pp. 9–18.

KDD-2015-DevooghtKM

Dynamic Matrix Factorization with Priors on Unknown Values (RD, NK, AM), pp. 189–198.

KDD-2015-FeldmanT #approximate #big data #constraints

More Constraints, Smaller Coresets: Constrained Matrix Approximation of Sparse Big Data (DF, TT), pp. 249–258.

KDD-2015-KimCKRP #topic

Simultaneous Discovery of Common and Discriminative Topics via Joint Nonnegative Matrix Factorization (HK, JC, JK, CKR, HP), pp. 567–576.

KDD-2015-OhHYJ #parallel #performance #robust

Fast and Robust Parallel SGD Matrix Factorization (JO, WSH, HY, XJ), pp. 865–874.

KDD-2015-RuchanskyCT #query

Matrix Completion with Queries (NR, MC, ET), pp. 1025–1034.

MLDM-2015-MojahedBWI #analysis #clustering #semistructured data #similarity #using

Applying Clustering Analysis to Heterogeneous Data Using Similarity Matrix Fusion (SMF) (AM, JHBS, WW, BdlI), pp. 251–265.

RecSys-2015-BerliozFKBB #difference #privacy

Applying Differential Privacy to Matrix Factorization (AB, AF, MAK, RB, SB), pp. 107–114.

RecSys-2015-GriesnerAN #recommendation #towards

POI Recommendation: Towards Fused Matrix Factorization with Geographical and Temporal Influences (JBG, TA, HN), pp. 301–304.

RecSys-2015-LiuWS #performance

Fast Differentially Private Matrix Factorization (ZL, YXW, AJS), pp. 171–178.

RecSys-2015-SongCL #incremental #recommendation

Incremental Matrix Factorization via Feature Space Re-learning for Recommender System (QS, JC, HL), pp. 277–280.

RecSys-2015-Steck #ranking

Gaussian Ranking by Matrix Factorization (HS), pp. 115–122.

SIGIR-2015-ChenLZLS #approximate #named #recommendation #scalability

WEMAREC: Accurate and Scalable Recommendation through Weighted and Ensemble Matrix Approximation (CC, DL, YZ, QL, LS), pp. 303–312.

SIGIR-2015-LiKF #behaviour #predict

Predicting User Behavior in Display Advertising via Dynamic Collective Matrix Factorization (SL, JK, YF), pp. 875–878.

SIGIR-2015-LiLZS #modelling #multi #retrieval #using

Modeling Multi-query Retrieval Tasks Using Density Matrix Transformation (QL, JL, PZ, DS), pp. 871–874.

SIGIR-2015-TanWX #multi #summary #topic

Joint Matrix Factorization and Manifold-Ranking for Topic-Focused Multi-Document Summarization (JT, XW, JX), pp. 987–990.

SKY-2015-Exman #composition #concept #design

Software Design with the Modularity Matrix and the Modularity Conceptual Lattice (IE), pp. 72–73.

PLDI-2015-VenkatHS #data transformation

Loop and data transformations for sparse matrix code (AV, MWH, MS), pp. 521–532.

ESEC-FSE-2015-NasrBAFBSD #architecture #named

MatrixMiner: a red pill to architect informal product descriptions in the matrix (SBN, GB, MA, JBFF, BB, NS, JMD), pp. 982–985.

SAC-2015-FerreiraPC #graph

Exploring graph topology via matrix factorization to improve wikification (RF, MdGCP, MC), pp. 1099–1104.

SAC-2015-MatuszykVSJG #incremental #recommendation

Forgetting methods for incremental matrix factorization in recommender systems (PM, JV, MS, AMJ, JG), pp. 947–953.

PDP-2015-ConinckKVSBMF #algebra #parallel #predict #scalability #towards

Towards Parallel Large-Scale Genomic Prediction by Coupling Sparse and Dense Matrix Algebra (ADC, DK, FV, OS, BDB, SM, JF), pp. 747–750.

PPoPP-2015-BensonB #framework #parallel #performance

A framework for practical parallel fast matrix multiplication (ARB, GB), pp. 42–53.

PPoPP-2015-ThebaultPD #3d #assembly #case study #implementation #performance #scalability

Scalable and efficient implementation of 3d unstructured meshes computation: a case study on matrix assembly (LT, EP, QD), pp. 120–129.

STOC-2015-AmbainisFG #multi #performance

Fast Matrix Multiplication: Limitations of the Coppersmith-Winograd Method (AA, YF, FLG), pp. 585–593.

STOC-2015-Moitra

Super-resolution, Extremal Functions and the Condition Number of Vandermonde Matrices (AM), pp. 821–830.

STOC-2015-SchulmanS #algorithm #analysis

Analysis of a Classical Matrix Preconditioning Algorithm (LJS, AS), pp. 831–840.

STOC-2015-ZhuLO #multi

Spectral Sparsification and Regret Minimization Beyond Matrix Multiplicative Updates (ZAZ, ZL, LO), pp. 237–245.

ICST-2015-KorosecP #agile

Supporting the Transition to an Agile Test Matrix (RK, RP), pp. 1–2.

VLDB-2014-GhashamiPL #approximate #distributed

Continuous Matrix Approximation on Distributed Data (MG, JMP, FL), pp. 809–820.

VLDB-2014-YunYHVD #algorithm #distributed #multi #named #probability

NOMAD: Nonlocking, stOchastic Multi-machine algorithm for Asynchronous and Decentralized matrix completion (HY, HFY, CJH, SVNV, ISD), pp. 975–986.

EDM-2014-LanSB #learning #personalisation

Quantized Matrix Completion for Personalized Learning (ASL, CS, RGB), pp. 280–283.

EDM-2014-SchattenJMS #adaptation

Matrix Factorization Feasibility for Sequencing and Adaptive Support in Intelligent Tutoring Systems (CS, RJ, MM, LST), pp. 385–386.

ICALP-v1-2014-GawrychowskiMW #query

Improved Submatrix Maximum Queries in Monge Matrices (PG, SM, OW), pp. 525–537.

ICALP-v1-2014-WimmerWZ #complexity #query

Optimal Query Complexity for Estimating the Trace of a Matrix (KW, YW, PZ), pp. 1051–1062.

AIIDE-2014-Abou-ZleikhaS #authoring #design #named #using

PaTux: An Authoring Tool for Level Design through Pattern Customisation Using Non-Negative Matrix Factorization (MAZ, NS).

CHI-2014-BachPF #network #visualisation

Visualizing dynamic networks with matrix cubes (BB, EP, JDF), pp. 877–886.

CIKM-2014-ChenC #data type #incremental #named

GI-NMF: Group Incremental Non-Negative Matrix Factorization on Data Streams (XC, KSC), pp. 1119–1128.

CIKM-2014-WangPX #collaboration #named #recommendation

HGMF: Hierarchical Group Matrix Factorization for Collaborative Recommendation (XW, WP, CX), pp. 769–778.

CIKM-2014-YuSYL #distributed #probability

Distributed Stochastic ADMM for Matrix Factorization (ZQY, XJS, LY, WJL), pp. 1259–1268.

CIKM-2014-ZhangZZLM #comprehension #constraints

Understanding the Sparsity: Augmented Matrix Factorization with Sampled Constraints on Unobservables (YZ, MZ, YZ, YL, SM), pp. 1189–1198.

ECIR-2014-BaiGLC #documentation #linear #modelling

Local Linear Matrix Factorization for Document Modeling (LB, JG, YL, XC), pp. 398–411.

ICML-c1-2014-ChenBSW

Coherent Matrix Completion (YC, SB, SS, RW), pp. 674–682.

ICML-c1-2014-DenisGH #bound #learning

Dimension-free Concentration Bounds on Hankel Matrices for Spectral Learning (FD, MG, AH), pp. 449–457.

ICML-c1-2014-ShalitC #coordination #learning #orthogonal

Coordinate-descent for learning orthogonal matrices through Givens rotations (US, GC), pp. 548–556.

ICML-c2-2014-Bhojanapalli0

Universal Matrix Completion (SB, PJ), pp. 1881–1889.

ICML-c2-2014-GunasekarRG #constraints #exponential #product line

Exponential Family Matrix Completion under Structural Constraints (SG, PR, JG), pp. 1917–1925.

ICML-c2-2014-HaeffeleYV #algorithm #image #rank

Structured Low-Rank Matrix Factorization: Optimality, Algorithm, and Applications to Image Processing (BDH, EY, RV), pp. 2007–2015.

ICML-c2-2014-Hernandez-LobatoHG #modelling #probability #scalability

Stochastic Inference for Scalable Probabilistic Modeling of Binary Matrices (JMHL, NH, ZG), pp. 379–387.

ICML-c2-2014-Hernandez-LobatoHG14a #probability

Probabilistic Matrix Factorization with Non-random Missing Data (JMHL, NH, ZG), pp. 1512–1520.

ICML-c2-2014-HoulsbyHG #learning #robust

Cold-start Active Learning with Robust Ordinal Matrix Factorization (NH, JMHL, ZG), pp. 766–774.

ICML-c2-2014-KondorTG #multi

Multiresolution Matrix Factorization (RK, NT, VG), pp. 1620–1628.

ICML-c2-2014-TanTWVP

Riemannian Pursuit for Big Matrix Recovery (MT, IWT, LW, BV, SJP), pp. 1539–1547.

ICML-c2-2014-WangLLFDY

Rank-One Matrix Pursuit for Matrix Completion (ZW, MJL, ZL, WF, HD, JY), pp. 91–99.

ICML-c2-2014-YangLR14a

Elementary Estimators for Sparse Covariance Matrices and other Structured Moments (EY, ACL, PDR), pp. 397–405.

ICPR-2014-ChangWW #image #multi

Multi-view Nonnegative Matrix Factorization for Clothing Image Characterization (WYC, CPW, YCFW), pp. 1272–1277.

ICPR-2014-ChaudhariM #clustering #semistructured data #symmetry #using

Average Overlap for Clustering Incomplete Data Using Symmetric Non-negative Matrix Factorization (SC, MNM), pp. 1431–1436.

ICPR-2014-DengHXC #analysis #composition #rank

Sparse and Low Rank Matrix Decomposition Based Local Morphological Analysis and Its Application to Diagnosis of Cirrhosis Livers (JD, XHH, GX, YWC), pp. 3363–3368.

ICPR-2014-GognaSM #using

Matrix Recovery Using Split Bregman (AG, AS, AM), pp. 1031–1036.

ICPR-2014-MoeiniMF #image #invariant #realtime #recognition

Real-Time Pose-Invariant Face Recognition by Triplet Pose Sparse Matrix from Only a Single Image (AM, HM, KF), pp. 465–470.

ICPR-2014-NourbakhshBP #approach #graph

A Matrix Factorization Approach to Graph Compression (FN, SRB, MP), pp. 76–81.

ICPR-2014-RaghavendraRYB #assessment #automation #empirical #quality #using #video

Automatic Face Quality Assessment from Video Using Gray Level Co-occurrence Matrix: An Empirical Study on Automatic Border Control System (RR, KBR, BY, CB), pp. 438–443.

ICPR-2014-RenL14a #identification

Person Re-identification Based on Relaxed Nonnegative Matrix Factorization with Regularizations (WR, GL), pp. 4654–4659.

ICPR-2014-ZenRS #distance #learning #metric

Simultaneous Ground Metric Learning and Matrix Factorization with Earth Mover’s Distance (GZ, ER, NS), pp. 3690–3695.

KDD-2014-LianZXSCR #modelling #named #recommendation

GeoMF: joint geographical modeling and matrix factorization for point-of-interest recommendation (DL, CZ, XX, GS, EC, YR), pp. 831–840.

KDD-2014-LiWW #rank #testing

Improved testing of low rank matrices (YL, ZW, DPW), pp. 691–700.

RecSys-2014-BauerN #framework

A framework for matrix factorization based on general distributions (JB, AN), pp. 249–256.

RecSys-2014-BhagatWIT #learning #recommendation #using

Recommending with an agenda: active learning of private attributes using matrix factorization (SB, UW, SI, NT), pp. 65–72.

RecSys-2014-FazeliLBDS #social #trust

Implicit vs. explicit trust in social matrix factorization (SF, BL, AB, HD, PBS), pp. 317–320.

RecSys-2014-PetroniQ #clustering #distributed #graph #named #probability

GASGD: stochastic gradient descent for distributed asynchronous matrix completion via graph partitioning (FP, LQ), pp. 241–248.

SIGIR-2014-CaiLR #documentation #personalisation #probability #ranking

Personalized document re-ranking based on Bayesian probabilistic matrix factorization (FC, SL, MdR), pp. 835–838.

PPDP-J-2012-Emden14

Matrix Code (MHvE), pp. 3–21.

ASE-2014-BecanSABBB #automation #comparison #formal method

Automating the formalization of product comparison matrices (GB, NS, MA, OB, AB, BB), pp. 433–444.

SAC-2014-ChoiSP #2d #classification #correlation #distance #image

Matrix correlation distance for 2D image classification (HC, JS, HP), pp. 1741–1742.

SAC-2014-LiW #clustering #multi

Single multiplicatively updated matrix factorization for co-clustering (ZL, XW), pp. 97–104.

SAC-2014-Zheng #using

Semi-supervised context-aware matrix factorization: using contexts in a way of “latent” factors (YZ), pp. 292–293.

CASE-2014-ShiWS #approximate

Approximation method to rank-one binary matrix factorization (ZS, LW, LS), pp. 800–805.

CASE-2014-YanLP #dependence #fault #framework #integration

Fault diagnosis framework for Air Handling Units based on the integration of Dependency matrices and PCA (YY, PBL, KRP), pp. 1103–1108.

DAC-2014-ApostolopoulouDES #scalability #simulation

Selective Inversion of Inductance Matrix for Large-Scale Sparse RLC Simulation (IA, KD, NEE, GIS), p. 6.

HPDC-2014-BeaumontM #analysis #multi #platform #scheduling

Analysis of dynamic scheduling strategies for matrix multiplication on heterogeneous platforms (OB, LM), pp. 141–152.

HPDC-2014-XiangMA #pipes and filters #scalability #using

Scalable matrix inversion using MapReduce (JX, HM, AA), pp. 177–190.

PPoPP-2014-CatanzaroKG #composition

A decomposition for in-place matrix transposition (BCC, AK, MG), pp. 193–206.

PPoPP-2014-SungGGGH

In-place transposition of rectangular matrices on accelerators (IJS, JGL, JMGL, NG, WmWH), pp. 207–218.

STOC-2014-BoutsidisW

Optimal CUR matrix decompositions (CB, DPW), pp. 353–362.

STOC-2014-FournierLMS #bound #multi

Lower bounds for depth 4 formulas computing iterated matrix multiplication (HF, NL, GM, SS), pp. 128–135.

HT-2013-ZhangZLM #collaboration #framework

A general collaborative filtering framework based on matrix bordered block diagonal forms (YZ, MZ, YL, SM), pp. 219–224.

ICSM-2013-BosS #ide #named

TRINITY: An IDE for the Matrix (JvdB, TvdS), pp. 520–523.

CIAA-J-2012-Oliveira13 #algebra #automaton #category theory

Weighted Automata as Coalgebras in Categories of Matrices (JNO), pp. 709–728.

ICALP-v1-2013-IndykR #modelling #on the

On Model-Based RIP-1 Matrices (PI, IR), pp. 564–575.

DiGRA-2013-WarpefeltJV #behaviour #game studies #using

Analyzing the believability of game character behavior using the Game Agent Matrix (HW, MJ, HV).

DUXU-PMT-2013-JiangL #adaptation #effectiveness #using

Understand System’s Relative Effectiveness Using Adapted Confusion Matrix (NJ, HL), pp. 294–302.

VISSOFT-2013-AbuthawabehBZD #multi #visualisation

Finding structures in multi-type code couplings with node-link and matrix visualizations (AA, FB, DZ, SD), pp. 1–10.

VISSOFT-2013-Wehrwein #lightweight #reverse engineering #using #visualisation

Lightweight software reverse engineering using augmented matrix visualizations (BW), pp. 1–4.

ICEIS-v1-2013-SilveiraMAC #development #library #memory management #process

A Library to Support the Development of Applications that Process Huge Matrices in External Memory (JAS, SVGM, MVAA, VSC), pp. 153–160.

CIKM-2013-ChanLKLBR #graph #using

Discovering latent blockmodels in sparse and noisy graphs using non-negative matrix factorisation (JC, WL, AK, CL, JB, KR), pp. 811–816.

ICML-c1-2013-ChenLYY #functional #using

General Functional Matrix Factorization Using Gradient Boosting (TC, HL, QY, YY), pp. 436–444.

ICML-c1-2013-KumarSK #algorithm #performance

Fast Conical Hull Algorithms for Near-separable Non-negative Matrix Factorization (AK, VS, PK), pp. 231–239.

ICML-c2-2013-HanL #estimation

Transition Matrix Estimation in High Dimensional Time Series (FH, HL), pp. 172–180.

ICML-c2-2013-LeeKLS #approximate #rank

Local Low-Rank Matrix Approximation (JL, SK, GL, YS), pp. 82–90.

ICML-c2-2013-Tran-DinhKC #framework #graph #learning

A proximal Newton framework for composite minimization: Graph learning without Cholesky decompositions and matrix inversions (QTD, ATK, VC), pp. 271–279.

ICML-c3-2013-ChenC

Spectral Compressed Sensing via Structured Matrix Completion (YC, YC), pp. 414–422.

ICML-c3-2013-GonenKK #kernel

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

ICML-c3-2013-SimsekliCY #learning #modelling

Learning the β-Divergence in Tweedie Compound Poisson Matrix Factorization Models (US, ATC, YKY), pp. 1409–1417.

ICML-c3-2013-XuZZ #performance

Fast Max-Margin Matrix Factorization with Data Augmentation (MX, JZ, BZ), pp. 978–986.

ICML-c3-2013-YangLZ #learning #multi

Multi-Task Learning with Gaussian Matrix Generalized Inverse Gaussian Model (MY, YL, ZZ), pp. 423–431.

ICML-c3-2013-YiZJQJ #clustering #similarity

Semi-supervised Clustering by Input Pattern Assisted Pairwise Similarity Matrix Completion (JY, LZ, RJ, QQ, AKJ), pp. 1400–1408.

KDD-2013-KuangP #clustering #documentation #performance

Fast rank-2 nonnegative matrix factorization for hierarchical document clustering (DK, HP), pp. 739–747.

KDD-2013-Liberty #sketching

Simple and deterministic matrix sketching (EL), pp. 581–588.

KDD-2013-LozanoJD #distance #estimation #multi #robust

Robust sparse estimation of multiresponse regression and inverse covariance matrix via the L2 distance (ACL, HJ, XD), pp. 293–301.

KDD-2013-SutherlandPS #learning #rank

Active learning and search on low-rank matrices (DJS, BP, JGS), pp. 212–220.

KDD-2013-ZhengDMZ #collaboration #interactive #multi #predict

Collaborative matrix factorization with multiple similarities for predicting drug-target interactions (XZ, HD, HM, SZ), pp. 1025–1033.

RecSys-2013-KoenigsteinP #embedded #feature model #recommendation

Xbox movies recommendations: variational bayes matrix factorization with embedded feature selection (NK, UP), pp. 129–136.

RecSys-2013-KoyejoAG #collaboration

Retargeted matrix factorization for collaborative filtering (OK, SA, JG), pp. 49–56.

RecSys-2013-PuF #comprehension #recommendation #relational

Understanding and improving relational matrix factorization in recommender systems (LP, BF), pp. 41–48.

RecSys-2013-SchelterBSAM #distributed #pipes and filters #using

Distributed matrix factorization with mapreduce using a series of broadcast-joins (SS, CB, MS, AA, VM), pp. 281–284.

RecSys-2013-ZhuangCJL #memory management #parallel #performance

A fast parallel SGD for matrix factorization in shared memory systems (YZ, WSC, YCJ, CJL), pp. 249–256.

SIGIR-2013-ZhangZLM #collaboration

Improve collaborative filtering through bordered block diagonal form matrices (YZ, MZ, YL, SM), pp. 313–322.

ASE-2013-SannierAB #case study #comparison #variability #wiki

From comparison matrix to Variability Model: The Wikipedia case study (NS, MA, BB), pp. 580–585.

SAC-2013-MokarizadehDMB #privacy #social

Enhancing social matrix factorization with privacy (SM, ND, MM, RB), pp. 277–278.

SAC-2013-ZengC #data fusion #recommendation #semistructured data

Heterogeneous data fusion via matrix factorization for augmenting item, group and friend recommendations (WZ, LC), pp. 237–244.

CASE-2013-SoviziK #nondeterminism #parallel #random #using

Uncertainty characterization in serial and parallel manipulators using random matrix theory (JS, VNK), pp. 312–317.

STOC-2013-AlonLSV #algorithm #approximate #rank

The approximate rank of a matrix and its algorithmic applications: approximate rank (NA, TL, AS, SV), pp. 675–684.

STOC-2013-JainNS #rank #using

Low-rank matrix completion using alternating minimization (PJ, PN, SS), pp. 665–674.

STOC-2013-Ta-Shma #quantum

Inverting well conditioned matrices in quantum logspace (ATS), pp. 881–890.

HT-2012-KontopoulouPKG #graph #metric

Graph and matrix metrics to analyze ergodic literature for children (EMK, MP, TK, EG), pp. 133–142.

ICALP-v1-2012-JefferyKM #complexity #graph #multi #quantum #query #using

Improving Quantum Query Complexity of Boolean Matrix Multiplication Using Graph Collision (SJ, RK, FM), pp. 522–532.

ICALP-v1-2012-Zouzias #algorithm

A Matrix Hyperbolic Cosine Algorithm and Applications (AZ), pp. 846–858.

VS-Games-2012-NeyEE #education #game studies #learning

Paving the Way to Game Based Learning: A Question Matrix for Teacher Reflection (MN, VE, JE), pp. 17–24.

CIKM-2012-KoenigsteinRS #framework #performance #recommendation #retrieval

Efficient retrieval of recommendations in a matrix factorization framework (NK, PR, YS), pp. 535–544.

CIKM-2012-LowZ #performance #query #similarity

Fast top-k similarity queries via matrix compression (YL, AXZ), pp. 2070–2074.

CIKM-2012-WuCLXBZ #probability

Leveraging tagging for neighborhood-aware probabilistic matrix factorization (LW, EC, QL, LX, TB, LZ), pp. 1854–1858.

CIKM-2012-YanGLCW #clustering #using

Clustering short text using Ncut-weighted non-negative matrix factorization (XY, JG, SL, XC, YW), pp. 2259–2262.

CIKM-2012-YaoC #locality

Accelerating locality preserving nonnegative matrix factorization (GY, DC), pp. 2271–2274.

ICML-2012-KiralyT #algebra #approach #combinator #rank

A Combinatorial Algebraic Approach for the Identifiability of Low-Rank Matrix Completion (FJK, RT), p. 100.

ICML-2012-MahoneyDMW #approximate #performance #statistics

Fast approximation of matrix coherence and statistical leverage (MWM, PD, MMI, DPW), p. 137.

ICML-2012-MorvantKR #bound #classification #multi

PAC-Bayesian Generalization Bound on Confusion Matrix for Multi-Class Classification (EM, SK, LR), p. 158.

ICML-2012-PurushothamL #collaboration #recommendation #social #topic

Collaborative Topic Regression with Social Matrix Factorization for Recommendation Systems (SP, YL), p. 92.

ICML-2012-SavalleRV #estimation #rank

Estimation of Simultaneously Sparse and Low Rank Matrices (PAS, ER, NV), p. 11.

ICML-2012-ShanKRBSR #predict #probability #using

Gap Filling in the Plant Kingdom — Trait Prediction Using Hierarchical Probabilistic Matrix Factorization (HS, JK, PBR, AB, FS, MR), p. 47.

ICML-2012-StulpS #adaptation #policy

Path Integral Policy Improvement with Covariance Matrix Adaptation (FS, OS), p. 201.

ICML-2012-WangX #collaboration

Stability of matrix factorization for collaborative filtering (YXW, HX), p. 26.

ICML-2012-YangO #clustering #composition #probability #rank

Clustering by Low-Rank Doubly Stochastic Matrix Decomposition (ZY, EO), p. 94.

ICML-2012-YgerBGR #adaptation #analysis #canonical #correlation

Adaptive Canonical Correlation Analysis Based On Matrix Manifolds (FY, MB, GG, AR), p. 43.

ICML-2012-ZhongG #approach #approximate

A Bayesian Approach to Approximate Joint Diagonalization of Square Matrices (MZ, MAG), p. 87.

ICPR-2012-GuyonBZ #constraints #detection #rank #robust

Foreground detection via robust low rank matrix factorization including spatial constraint with Iterative reweighted regression (CG, TB, EHZ), pp. 2805–2808.

ICPR-2012-KirbizG #music

Perceptually weighted Non-negative Matrix Factorization for blind single-channel music source separation (SK, BG), pp. 226–229.

ICPR-2012-LiCWLG #robust

Robust lyric search based on weighted syllable confusion matrix (BL, FC, QW, GL, JG), pp. 613–616.

ICPR-2012-LiW #encoding #recognition #using

Iris recognition using ordinal encoding of Log-Euclidean covariance matrices (PL, GW), pp. 2420–2423.

ICPR-2012-NielsenLYV

Jensen divergence based SPD matrix means and applications (FN, ML, XY, BCV), pp. 2841–2844.

ICPR-2012-TuH #invariant #recognition

Dual subspace nonnegative matrix factorization for person-invariant facial expression recognition (YHT, CTH), pp. 2391–2394.

ICPR-2012-VieiraLSC #distance #invariant

Distance matrices as invariant features for classifying MoCap data (AWV, TL, WRS, MFMC), pp. 2934–2937.

ICPR-2012-WangAG #adaptation #feature model #graph

Adaptive graph regularized Nonnegative Matrix Factorization via feature selection (JW, IA, XG), pp. 963–966.

ICPR-2012-XieLH #clustering #multi

Multi-task co-clustering via nonnegative matrix factorization (SX, HL, YH), pp. 2954–2958.

KDD-2012-HuZLYH

Accelerated singular value thresholding for matrix completion (YH, DZ, JL, JY, XH), pp. 298–306.

KDD-2012-SilvaC #learning #online

Active learning for online bayesian matrix factorization (JGS, LC), pp. 325–333.

KDD-2012-ZhangY #bound #community #detection

Overlapping community detection via bounded nonnegative matrix tri-factorization (YZ, DYY), pp. 606–614.

MLDM-2012-Moreira-MatiasMGB #categorisation #classification #using

Text Categorization Using an Ensemble Classifier Based on a Mean Co-association Matrix (LMM, JMM, JG, PB), pp. 525–539.

RecSys-2012-HuangXP

Constrained collective matrix factorization (YJH, EWX, RP), pp. 237–240.

RecSys-2012-KarimiFNS #learning #recommendation

Exploiting the characteristics of matrix factorization for active learning in recommender systems (RK, CF, AN, LST), pp. 317–320.

SIGIR-2012-JungL #probability

Inferring missing relevance judgments from crowd workers via probabilistic matrix factorization (HJJ, ML), pp. 1095–1096.

SIGIR-2012-WangCXL #modelling #scalability #topic

Group matrix factorization for scalable topic modeling (QW, ZC, JX, HL), pp. 375–384.

PPDP-2012-Emden

Matrix code (MvE), pp. 13–24.

RE-2012-BekkersBBMWW #maturity

Evaluating the Software Product Management Maturity Matrix (WB, SB, LvdB, FM, CW, IvdW), pp. 51–60.

SAC-2012-WickerPK #classification #composition #multi #using

Multi-label classification using boolean matrix decomposition (JW, BP, SK), pp. 179–186.

PPoPP-2012-DuBBHD #fault tolerance

Algorithm-based fault tolerance for dense matrix factorizations (PD, AB, GB, TH, JD), pp. 225–234.

STOC-2012-AroraGKM

Computing a nonnegative matrix factorization — provably (SA, RG, RK, AM), pp. 145–162.

STOC-2012-CheungKL #algorithm #performance #rank

Fast matrix rank algorithms and applications (HYC, TCK, LCL), pp. 549–562.

STOC-2012-HardtR #random

Beating randomized response on incoherent matrices (MH, AR), pp. 1255–1268.

STOC-2012-Williams #multi #performance

Multiplying matrices faster than coppersmith-winograd (VVW), pp. 887–898.

CSL-2012-KotekM #graph #parametricity

Connection Matrices and the Definability of Graph Parameters (TK, JAM), pp. 411–425.

ICLP-2012-BanbaraTI #generative #programming #testing

Generating Event-Sequence Test Cases by Answer Set Programming with the Incidence Matrix (MB, NT, KI), pp. 86–97.

VLDB-2011-ZhangM0 #revisited #theory and practice

Storing Matrices on Disk: Theory and Practice Revisited (YZ, KM, JY), pp. 1075–1086.

CSEET-2011-CaiIW #design #education

Leveraging design structure matrices in software design education (YC, DI, SW), pp. 179–188.

DLT-J-2009-Zetzsche11 #capacity #comprehension #generative #towards

Toward Understanding the Generative Capacity of Erasing Rules in Matrix Grammars (GZ), pp. 411–426.

ICALP-v1-2011-NgoPR

Efficiently Decodable Error-Correcting List Disjunct Matrices and Applications — (HQN, EP, AR), pp. 557–568.

RTA-2011-NeurauterM #proving #term rewriting #termination

Revisiting Matrix Interpretations for Proving Termination of Term Rewriting (FN, AM), pp. 251–266.

CIKM-2011-Garza #classification

Structured data classification by means of matrix factorization (PG), pp. 2165–2168.

CIKM-2011-KongDH #robust #using

Robust nonnegative matrix factorization using L21-norm (DK, CHQD, HH), pp. 673–682.

CIKM-2011-WangHD #clustering #multi #relational #symmetry

Simultaneous clustering of multi-type relational data via symmetric nonnegative matrix tri-factorization (HW, HH, CHQD), pp. 279–284.

ICML-2011-AgarwalNW #composition

Noisy matrix decomposition via convex relaxation: Optimal rates in high dimensions (AA, SN, MJW), pp. 1129–1136.

ICML-2011-AgovicBC #probability

Probabilistic Matrix Addition (AA, AB, SC), pp. 1025–1032.

ICML-2011-AroraGKF #clustering

Clustering by Left-Stochastic Matrix Factorization (RA, MRG, AK, MF), pp. 761–768.

ICML-2011-ChenXCS #robust

Robust Matrix Completion and Corrupted Columns (YC, HX, CC, SS), pp. 873–880.

ICML-2011-ZhouT #composition #named #random

GoDec: Randomized Lowrank & Sparse Matrix Decomposition in Noisy Case (TZ, DT), pp. 33–40.

KDD-2011-GemullaNHS #distributed #probability #scalability

Large-scale matrix factorization with distributed stochastic gradient descent (RG, EN, PJH, YS), pp. 69–77.

KDD-2011-HsiehD #coordination #performance

Fast coordinate descent methods with variable selection for non-negative matrix factorization (CJH, ISD), pp. 1064–1072.

KDD-2011-MiettinenV #order

Model order selection for boolean matrix factorization (PM, JV), pp. 51–59.

KDD-2011-WangBB #analysis #component #multi

Common component analysis for multiple covariance matrices (HW, AB, DB), pp. 956–964.

RecSys-2011-BaltrunasLR #recommendation

Matrix factorization techniques for context aware recommendation (LB, BL, FR), pp. 301–304.

RecSys-2011-CamposDS #evaluation #predict #recommendation #testing #towards

Towards a more realistic evaluation: testing the ability to predict future tastes of matrix factorization-based recommenders (PGC, FD, MASM), pp. 309–312.

RecSys-2011-ForbesZ #recommendation

Content-boosted matrix factorization for recommender systems: experiments with recipe recommendation (PF, MZ), pp. 261–264.

RecSys-2011-XinS #multi #probability #recommendation

Multi-value probabilistic matrix factorization for IP-TV recommendations (YX, HS), pp. 221–228.

RecSys-2011-ZhangAC #flexibility

Generalizing matrix factorization through flexible regression priors (LZ, DA, BCC), pp. 13–20.

SIGIR-2011-WangHND #classification #information management #using #web

Cross-language web page classification via dual knowledge transfer using nonnegative matrix tri-factorization (HW, HH, FN, CHQD), pp. 933–942.

SIGIR-2011-ZhouYZ #functional #recommendation

Functional matrix factorizations for cold-start recommendation (KZ, SHY, HZ), pp. 315–324.

PLDI-2011-SatoI #automation #parallel

Automatic parallelization via matrix multiplication (SS, HI), pp. 470–479.

SAC-2011-FormigaLSDT #assessment #recognition #scalability

An assessment of data matrix barcode recognition under scaling, rotation and cylindrical warping (AdAF, RDL, SJS, GD, MT), pp. 266–267.

DAC-2011-ChaiJ #complexity #equation #linear

Direct matrix solution of linear complexity for surface integral-equation based impedance extraction of high bandwidth interconnects (WC, DJ), pp. 206–211.

PDP-2011-EzzattiQR #framework #manycore #performance #platform

High Performance Matrix Inversion on a Multi-core Platform with Several GPUs (PE, ESQO, AR), pp. 87–93.

STOC-2011-BarakDYW #bound #design #geometry #rank

Rank bounds for design matrices with applications toc ombinatorial geometry and locally correctable codes (BB, ZD, AY, AW), pp. 519–528.

STOC-2011-BourgainDFKK

Breaking the k2 barrier for explicit RIP matrices (JB, SJD, KF, SK, DK), pp. 637–644.

DocEng-2010-NamaneSM #feature model #recognition #using

Degraded dot matrix character recognition using CSM-based feature extraction (AN, EHS, PM), pp. 207–210.

ECDL-2010-CamargoCG #image #multimodal #using #visualisation

Multimodal Image Collection Visualization Using Non-negative Matrix Factorization (JEC, JCC, FAG), pp. 429–432.

CIAA-2010-LiuGLT #automaton #composition #regular expression

Compressing Regular Expressions’ DFA Table by Matrix Decomposition (YL, LG, PL, JT), pp. 282–289.

RTA-2010-Waldmann #bound

Polynomially Bounded Matrix Interpretations (JW), pp. 357–372.

ICFP-2010-ArnoldHKBS #specification #verification

Specifying and verifying sparse matrix codes (GA, JH, ASK, RB, MS), pp. 249–260.

CIG-2010-AshlockKA #comparison

A fingerprint comparison of different Prisoner's Dilemma payoff matrices (DAA, EYK, WA), pp. 219–226.

SOFTVIS-2010-Zeckzer #layout #using #visualisation

Visualizing software entities using a matrix layout (DZ), pp. 207–208.

CIKM-2010-FangS #approximate #information retrieval #multi

Hypergraph-based multilevel matrix approximation for text information retrieval (HrF, YS), pp. 1597–1600.

CIKM-2010-ThurauKB

Yes we can: simplex volume maximization for descriptive web-scale matrix factorization (CT, KK, CB), pp. 1785–1788.

ICML-2010-BhadraBBB #kernel #nondeterminism #robust

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

ICML-2010-BouzyM #game studies #learning #multi

Multi-agent Learning Experiments on Repeated Matrix Games (BB, MM), pp. 119–126.

ICML-2010-HoffmanBC #music #parametricity

Bayesian Nonparametric Matrix Factorization for Recorded Music (MDH, DMB, PRC), pp. 439–446.

ICML-2010-MackeyWJ

Mixed Membership Matrix Factorization (LWM, DJW, MIJ), pp. 711–718.

ICML-2010-NakajimaS

Implicit Regularization in Variational Bayesian Matrix Factorization (SN, MS), pp. 815–822.

ICML-2010-NegahbanW #estimation #rank #scalability

Estimation of (near) low-rank matrices with noise and high-dimensional scaling (SN, MJW), pp. 823–830.

ICML-2010-TomiokaSSK #algorithm #learning #performance #rank

A Fast Augmented Lagrangian Algorithm for Learning Low-Rank Matrices (RT, TS, MS, HK), pp. 1087–1094.

ICPR-2010-JammalamadakaJKM #using

Discriminative Basis Selection Using Non-negative Matrix Factorization (AJ, SJ, SK, BSM), pp. 1533–1536.

ICPR-2010-KirbizCG #modelling

Bayesian Inference for Nonnegative Matrix Factor Deconvolution Models (SK, ATC, BG), pp. 2812–2815.

ICPR-2010-Seo #detection #distance

Speaker Change Detection Based on the Pairwise Distance Matrix (JSS), pp. 93–96.

ICPR-2010-YamashitaW #correlation

Subspace Methods with Globally/Locally Weighted Correlation Matrix (YY, TW), pp. 4259–4262.

RecSys-2010-JamaliE #network #recommendation #social #trust

A matrix factorization technique with trust propagation for recommendation in social networks (MJ, ME), pp. 135–142.

RecSys-2010-PilaszyZT #dataset #feedback #performance

Fast als-based matrix factorization for explicit and implicit feedback datasets (IP, DZ, DT), pp. 71–78.

RecSys-2010-ShiLH #collaboration #learning #rank

List-wise learning to rank with matrix factorization for collaborative filtering (YS, ML, AH), pp. 269–272.

SIGIR-2010-WangDL #comprehension #documentation #set

Feature subset non-negative matrix factorization and its applications to document understanding (DW, CHQD, TL), pp. 805–806.

SPLC-2010-Duszynski #diagrams #variability #visualisation

Visualizing and Analyzing Software Variability with Bar Diagrams and Occurrence Matrices (SD), pp. 481–485.

SAC-2010-ChenS #3d #interactive #modelling

Modeling cardinal directions in the 3D space with the objects interaction cube matrix (TC, MS), pp. 906–910.

SAC-2010-ColantonioPOV #adaptation #approach #clustering #named

ABBA: adaptive bicluster-based approach to impute missing values in binary matrices (AC, RDP, AO, NVV), pp. 1026–1033.

SAC-2010-GabrielSN #clustering #similarity #using

Eigenvector-based clustering using aggregated similarity matrices (HHG, MS, AN), pp. 1083–1087.

CASE-2010-FrohlichS #automation #constraints #modelling #problem #scheduling #using

Relation matrices for automated MILP modeling of scheduling problems using temporal constraints (RF, SCS), pp. 69–74.

PDP-2010-AlonsoRL #case study #clustering #implementation #manycore #parallel

Experimental Study of Six Different Implementations of Parallel Matrix Multiplication on Heterogeneous Computational Clusters of Multicore Processors (PA, RR, ALL), pp. 263–270.

PDP-2010-UcarC #clustering #modelling #on the #scalability

On the Scalability of Hypergraph Models for Sparse Matrix Partitioning (BU, ÜVÇ), pp. 593–600.

STOC-2010-Kannan

Spectral methods for matrices and tensors (RK), pp. 1–12.

STOC-2010-KasiviswanathanRSU #correlation #random

The price of privately releasing contingency tables and the spectra of random matrices with correlated rows (SPK, MR, AS, JU), pp. 775–784.

VMCAI-2010-HenzingerHKV #invariant #type inference

Invariant and Type Inference for Matrices (TAH, TH, LK, AV), pp. 163–179.

WCRE-1999-LavalDDB99a #dependence #identification

Identifying Cycle Causes with Enriched Dependency Structural Matrix (JL, SD, SD, AB), pp. 113–122.

DLT-2009-AlmeidaS

Matrix Mortality and the Cerný-Pin Conjecture (JA, BS), pp. 67–80.

DLT-2009-Harju #problem

Post Correspondence Problem and Small Dimensional Matrices (TH), pp. 39–46.

DLT-2009-Zetzsche #petri net

Erasing in Petri Net Languages and Matrix Grammars (GZ), pp. 490–501.

HCD-2009-KobayashiN #guidelines #usability

Mapping of Usability Guidelines onto User’s Temporal Viewpoint Matrix (TK, HN), pp. 75–83.

CIKM-2009-MaYKL #collaboration #consistency #statistics

Semi-nonnegative matrix factorization with global statistical consistency for collaborative filtering (HM, HY, IK, MRL), pp. 767–776.

ICML-2009-ChengSS #markov #modelling

Matrix updates for perceptron training of continuous density hidden Markov models (CCC, FS, LKS), pp. 153–160.

ICML-2009-LawrenceU #process

Non-linear matrix factorization with Gaussian processes (NDL, RU), pp. 601–608.

KDD-2009-ShenJY #mining

Mining discrete patterns via binary matrix factorization (BHS, SJ, JY), pp. 757–766.

RecSys-2009-WeimerKB #recommendation

Maximum margin matrix factorization for code recommendation (MW, AK, MB), pp. 309–312.

SIGIR-2009-YuZLG #collaboration #parametricity #performance #scalability

Fast nonparametric matrix factorization for large-scale collaborative filtering (KY, SZ, JDL, YG), pp. 211–218.

SAS-2009-DrapeV #obfuscation

Creating Transformations for Matrix Obfuscation (SD, IV), pp. 273–292.

SAC-2009-Brand #composition #constraints #problem

The sum-of-increments constraint in the consecutive-ones matrix decomposition problem (SB), pp. 1417–1418.

SAC-2009-ShenU #approximate #composition #concept #multi

A class of multistep sparse matrix strategies for concept decomposition matrix approximation (CS, MU), pp. 1714–1718.

STOC-2009-BabaiBS #polynomial

Polynomial-time theory of matrix groups (LB, RB, ÁS), pp. 55–64.

STOC-2009-NguyenDT #algorithm #approximate #performance #rank

A fast and efficient algorithm for low-rank approximation of a matrix (NHN, TTD, TDT), pp. 215–224.

WICSA-2008-LaMantiaCMR #design #evolution #scalability #using

Analyzing the Evolution of Large-Scale Software Systems Using Design Structure Matrices and Design Rule Theory: Two Exploratory Cases (MJL, YC, AM, JR), pp. 83–92.

SIGMOD-2008-PanZW #clustering #composition #dataset #named #performance #scalability

CRD: fast co-clustering on large datasets utilizing sampling-based matrix decomposition (FP, XZ, WW), pp. 173–184.

LATA-2008-Steinberg #sequence #theorem

Subsequence Counting, Matrix Representations and a Theorem of Eilenberg (BS), pp. 6–10.

RTA-2008-LafontR #case study #diagrams #orthogonal

Diagram Rewriting for Orthogonal Matrices: A Study of Critical Peaks (YL, PR), pp. 232–245.

CIKM-2008-HsuC08a #order #performance #web

Efficient web matrix processing based on dual reordering (CMH, MSC), pp. 1389–1390.

CIKM-2008-MaYLK08a #named #probability #recommendation #social #using

SoRec: social recommendation using probabilistic matrix factorization (HM, HY, MRL, IK), pp. 931–940.

ICML-2008-BiggsGV

Nonnegative matrix factorization via rank-one downdate (MB, AG, SAV), pp. 64–71.

ICML-2008-SalakhutdinovM08a #markov #monte carlo #probability #using

Bayesian probabilistic matrix factorization using Markov chain Monte Carlo (RS, AM), pp. 880–887.

ICPR-2008-BucakG #clustering #incremental

Incremental clustering via nonnegative matrix factorization (SSB, BG), pp. 1–4.

ICPR-2008-CheongL #approach #image #multi #orthogonal #recognition #using

An approach to texture-based image recognition by deconstructing multispectral co-occurrence matrices using Tchebichef orthogonal polynomials (MCYC, KSL), pp. 1–4.

ICPR-2008-DonoserB #segmentation #using

Using covariance matrices for unsupervised texture segmentation (MD, HB), pp. 1–4.

ICPR-2008-DuinP #difference #learning #on the

On refining dissimilarity matrices for an improved NN learning (RPWD, EP), pp. 1–4.

ICPR-2008-KazuiMMF #detection #using

Incoherent motion detection using a time-series Gram matrix feature (MK, MM, SM, HF), pp. 1–5.

ICPR-2008-KinoshenkoMY #distance #image #retrieval

Block-diagonal form of distance matrix for region-based image retrieval (DK, VM, EY), pp. 1–4.

ICPR-2008-LiZ #algorithm #fixpoint #named #performance

FastNMF: A fast monotonic fixed-point non-negative Matrix Factorization algorithm with high ease of use (LL, YJZ), pp. 1–4.

ICPR-2008-ScrippsTCE #approach #predict

A matrix alignment approach for link prediction (JS, PNT, FC, AHE), pp. 1–4.

ICPR-2008-WangWH

Structure and motion factorization under quasi-perspective projection with missing data in tracking matrix (GW, QMJW, WH), pp. 1–4.

KDD-2008-GarrigaJM

Banded structure in binary matrices (GCG, EJ, HM), pp. 292–300.

KDD-2008-HyvonenMT

Interpretable nonnegative matrix decompositions (SH, PM, ET), pp. 345–353.

KDD-2008-SinghG #learning #relational

Relational learning via collective matrix factorization (APS, GJG), pp. 650–658.

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

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

RecSys-2008-TakacsPNT #algorithm #problem

Matrix factorization and neighbor based algorithms for the netflix prize problem (GT, IP, BN, DT), pp. 267–274.

SIGIR-2008-WangLZD #analysis #multi #semantics #summary #symmetry

Multi-document summarization via sentence-level semantic analysis and symmetric matrix factorization (DW, TL, SZ, CHQD), pp. 307–314.

CASE-2008-HooverMR #3d #detection #image #using

Pose detection of 3-D objects using images sampled on SO(3), spherical harmonics, and wigner-D matrices (RCH, AAM, RGR), pp. 47–52.

DAC-2008-Garland #gpu #manycore

Sparse matrix computations on manycore GPU’s (MG), pp. 2–6.

PPoPP-2008-DongarraPRV #platform

Matrix product on heterogeneous master-worker platforms (JD, JFP, YR, FV), pp. 53–62.

STOC-2008-Sherstov #bound #communication #quantum

The pattern matrix method for lower bounds on quantum communication (AAS), pp. 85–94.

SIGMOD-2007-FaloutsosKS #graph #mining #scalability #tool support #using

Mining large graphs and streams using matrix and tensor tools (CF, TGK, JS), p. 1174.

LATA-2007-KocholKSS #reduction

Reductions of matrices associated with nowhere-zero flows (MK, NK, SS, KS), pp. 297–306.

LATA-2007-Stiebe

Slender Siromoney Matrix Languages (RS), pp. 553–564.

DiGRA-2007-Ferri #game studies #interactive

Narrating machines and interactive matrices: a semiotic common ground for game studies (GF0).

ICEIS-EIS-2007-AmritH #detection #problem #process

Matrix Based Problem Detection in the Application of Software Process Patterns (CA, JvH), pp. 316–320.

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

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

ICML-2007-KuzminW #kernel #online

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

ICML-2007-TomiokaA

Classifying matrices with a spectral regularization (RT, KA), pp. 895–902.

ICML-2007-XueDC #flexibility #learning #multi #process

The matrix stick-breaking process for flexible multi-task learning (YX, DBD, LC), pp. 1063–1070.

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

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

SIGIR-2007-ZhuYCG #classification #using

Combining content and link for classification using matrix factorization (SZ, KY, YC, YG), pp. 487–494.

CASE-2007-ChalfounBKP #fault #using

Calibration Using Generalized Error Matrices of a Long Reach Articulated Carrier (JC, CB, DK, YP), pp. 777–782.

CASE-2007-YangM #approach #automation #feature model #interactive #verification

Automatic Feasibility Verification of Object Configurations: A New Approach Based on Feature Interaction Matrices (FY, MMM), pp. 686–691.

PDP-2007-TudrujM #clustering #communication #on the fly #parallel

Dynamic SMP Clusters with Communication on the Fly in SoC Technology Applied for Medium-Grain Parallel Matrix Multiplication (MT, LM), pp. 270–277.

STOC-2007-VuT

The condition number of a randomly perturbed matrix (VHV, TT), pp. 248–255.

SAT-2007-Kullmann #invariant #polynomial #satisfiability

Polynomial Time SAT Decision for Complementation-Invariant Clause-Sets, and Sign-non-Singular Matrices (OK), pp. 314–327.

SAT-2007-LynceM #modelling #satisfiability #symmetry

Breaking Symmetries in SAT Matrix Models (IL, JPMS), pp. 22–27.

VMCAI-2007-PeronH #abstract domain #bound #constraints

An Abstract Domain Extending Difference-Bound Matrices with Disequality Constraints (MP, NH), pp. 268–282.

VLDB-2006-DrineasM #algorithm #random #set

Randomized Algorithms for Matrices and Massive Data Sets (PD, MWM), p. 1269.

DLT-2006-BellP #bound

Lowering Undecidability Bounds for Decision Questions in Matrices (PB, IP), pp. 375–385.

ICALP-v1-2006-FrandsenF #rank

Dynamic Matrix Rank (GSF, PFF), pp. 395–406.

ICALP-v1-2006-Sankowski #multi

Weighted Bipartite Matching in Matrix Multiplication Time (PS), pp. 274–285.

ICALP-v1-2006-Wolf #bound #quantum

Lower Bounds on Matrix Rigidity Via a Quantum Argument (RdW), pp. 62–71.

RTA-2006-HofbauerW #string #termination

Termination of String Rewriting with Matrix Interpretations (DH, JW), pp. 328–342.

CIG-2006-ChongY #adaptation #interactive #self

Self-Adapting Payoff Matrices in Repeated Interactions (SYC, XY0), pp. 103–110.

ICGT-2006-VelascoL #approach #graph transformation #sequence

Matrix Approach to Graph Transformation: Matching and Sequences (PPPV, JdL), pp. 122–137.

CIKM-2006-OrdonezG #relational

Vector and matrix operations programmed with UDFs in a relational DBMS (CO, JGG), pp. 503–512.

ECIR-2006-Osinski #approximate #clustering #quality

Improving Quality of Search Results Clustering with Approximate Matrix Factorisations (SO), pp. 167–178.

ICML-2006-DeCoste #collaboration #predict #using

Collaborative prediction using ensembles of Maximum Margin Matrix Factorizations (DD), pp. 249–256.

ICML-2006-KulisSD #kernel #learning #rank

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

ICML-2006-ZhangK #kernel #performance

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

ICPR-v1-2006-HouZS #estimation

Estimation of the Fundamental Matrix Based on EV Mode (TH, FZ, ZS), pp. 679–682.

ICPR-v1-2006-PflugfelderB

Fundamental matrix and slightly overlapping views (RPP, HB), pp. 527–530.

ICPR-v1-2006-WangL

Characteristic Line of Planar Homography Matrix and Its Applications in Camera Calibration (JW, YL), pp. 147–150.

ICPR-v2-2006-RiggiTA #estimation #invariant #parametricity

Fundamental Matrix Estimation via TIP — Transfer of Invariant Parameters (FR, MT, TA), pp. 21–24.

ICPR-v3-2006-ChenWTG #analysis #empirical #image #statistics

Blind Image Steganalysis Based on Statistical Analysis of Empirical Matrix (XC, YW, TT, LG), pp. 1107–1110.

ICPR-v3-2006-XueTCZ #algorithm #recognition

A Modified Non-negative Matrix Factorization Algorithm for Face Recognition (YX, CST, WSC, WZ), pp. 495–498.

ICPR-v4-2006-HeYTWX #image #novel #retrieval #symmetry #using

Texture Image Retrieval Using Novel Non-separable Filter Banks Based on Centrally Symmetric Matrices (ZH, XY, YYT, PSPW, YX), pp. 161–164.

ICPR-v4-2006-YaoZDLX #correlation #identification #modelling

Directly Modeling of Correlation Matrices for GMM in Speaker Identification (ZY, XZ, BD, ML, YX), pp. 306–309.

ICPR-v4-2006-YuanMZL #recognition #using

Ear Recognition using Improved Non-Negative Matrix Factorization (LY, ZM, YZ, KL), pp. 501–504.

KDD-2006-DingLPP #clustering #orthogonal

Orthogonal nonnegative matrix t-factorizations for clustering (CHQD, TL, WP, HP), pp. 126–135.

KDD-2006-WuCCH #approximate #incremental

Incremental approximate matrix factorization for speeding up support vector machines (GW, EYC, YKC, CJH), pp. 760–766.

CASE-2006-ChenYTCW #difference #fuzzy #hybrid #linear

Applying the Linear Matrix Inequality for Hybrid Fuzzy/H-infinity Control of Active Structural Damping (CWC, KY, CHT, CYC, DJW), pp. 678–682.

DAC-2006-WongC #performance

A fast passivity test for descriptor systems via structure-preserving transformations of Skew-Hamiltonian/Hamiltonian matrix pencils (NW, CKC), pp. 261–266.

DAC-2006-YangCGJ #algorithm #parallel #rank #scalability

A parallel low-rank multilevel matrix compression algorithm for parasitic extraction of electrically large structures (CY, SC, DG, VJ), pp. 1053–1056.

PDP-2006-TsilikasF #benchmark #metric #multi

Comparing Commodity SMP System Software with a Matrix Multiplication Benchmark (GT, MF), pp. 149–152.

IJCAR-2006-EndrullisWZ #proving #term rewriting #termination

Matrix Interpretations for Proving Termination of Term Rewriting (JE, JW, HZ), pp. 574–588.

ICDAR-2005-LiSC #analysis #multi

A Threshlod Selection Method Based on Multiscale and Graylevel Co-occurrence Matrix Analysis (YL, CYS, MC), pp. 575–579.

ICDAR-2005-SextonS #analysis #semantics

Semantic Analysis of Matrix Structures (APS, VS), pp. 1141–1145.

SIGITE-2005-SmithS #assessment

Competency matrices for peer assessment of individuals in team projects (HHSI, DLS), pp. 155–162.

DLT-2005-BellP #on the

On the Membership of Invertible Diagonal Matrices (PB, IP), pp. 146–157.

ICML-2005-RennieS #collaboration #performance #predict

Fast maximum margin matrix factorization for collaborative prediction (JDMR, NS), pp. 713–719.

SIGIR-2005-XiFFZCYZ #named #similarity #using

SimFusion: measuring similarity using unified relationship matrix (WX, EAF, WF, BZ, ZC, JY, DZ), pp. 130–137.

SAC-2005-KoshelevaKMN #np-hard

Computing the cube of an interval matrix is NP-Hard (OK, VK, GM, HTN), pp. 1449–1453.

SAC-2005-LawL #constraints #modelling #symmetry #using

Breaking value symmetries in matrix models using channeling constraints (YCL, JHML), pp. 371–376.

SAC-2005-ZhangLN

An attribute-based access matrix model (XZ, YL, DN), pp. 359–363.

DATE-2005-KrishnaswamyVMH #evaluation #probability #reliability

Accurate Reliability Evaluation and Enhancement via Probabilistic Transfer Matrices (SK, GFV, ILM, JPH), pp. 282–287.

STOC-2005-TaoV #on the #random

On random pm 1 matrices: singularity and determinant (TT, VHV), pp. 431–440.

STOC-2005-Vu #random

Spectral norm of random matrices (VHV), pp. 423–430.

CSL-2005-Soltys #algorithm #proving

Feasible Proofs of Matrix Properties with Csanky’s Algorithm (MS), pp. 493–508.

CBSE-2004-Taborda #component

The Release Matrix for Component-Based Software Systems (LJMT), pp. 100–113.

ECDL-2004-KornbluhFR #repository

Media Matrix: Creating Secondary Repositories (MK, MF, DR), pp. 329–340.

PODS-2004-ZhouW #clustering

Clustering via Matrix Powering (HZ, DPW), pp. 136–142.

VLDB-2004-JohnsonKCKV #order #scalability #using

Compressing Large Boolean Matrices using Reordering Techniques (DSJ, SK, JC, SK, SV), pp. 13–23.

DLT-2004-Potapov #automaton #multi #problem #reachability

From Post Systems to the Reachability Problems for Matrix Semigroups and Multicounter Automata (IP), pp. 345–356.

ICML-2004-WeinbergerSS #kernel #learning #reduction

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

ICML-2004-Ye #approximate #rank

Generalized low rank approximations of matrices (JY).

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

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

ICPR-v1-2004-BuciuP #recognition

Application of non-Negative and Local non Negative Matrix Factorization to Facial Expression Recognition (IB, IP), pp. 288–291.

ICPR-v1-2004-Zwiggelaar #automation #segmentation

Texture Based Segmentation: Automatic Selection of Co-Occurrence Matrices (RZ), pp. 588–591.

KDD-2004-BanerjeeDGMM #approach #approximate #clustering

A generalized maximum entropy approach to bregman co-clustering and matrix approximation (AB, ISD, JG, SM, DSM), pp. 509–514.

KDD-2004-ChilsonNWZ #correlation #parallel #robust

Parallel computation of high dimensional robust correlation and covariance matrices (JC, RTN, AW, RHZ), pp. 533–538.

KDD-2004-DavidsonGST #algorithm #approach #data mining #mining #quality

A general approach to incorporate data quality matrices into data mining algorithms (ID, AG, AS, GKT), pp. 794–798.

DAC-2004-GopeCJ #modelling #multi #performance #rank

A fast parasitic extractor based on low-rank multilevel matrix compression for conductor and dielectric modeling in microelectronics and MEMS (DG, SC, VJ), pp. 794–799.

DATE-v2-2004-MeiVVL #architecture #case study #configuration management #design

Design Methodology for a Tightly Coupled VLIW/Reconfigurable Matrix Architecture: A Case Study (BM, SV, DV, RL), pp. 1224–1229.

HPDC-2004-WeinbergJDFH #execution #query #using

Gridflow Description, Query, and Execution at SCEC using the SDSC Matrix (JW, AJ, AD, MF, YH), pp. 262–263.

DRR-2003-FaconY #segmentation

Morphological postal envelope segmentation by co-occurrence matrix (JF, EAY), pp. 294–304.

ICDAR-2003-ToshihiroM #detection #documentation #image #segmentation

Detection of Matrices and Segmentation of Matrix Elements in Scanned Images of Scientific Documents (KT, SM), pp. 433–437.

ICALP-2003-BlondelD #graph #similarity

Similarity Matrices for Pairs of Graphs (VDB, PVD), pp. 739–750.

KDD-2003-El-HajjZ #dataset #interactive #mining #performance #scalability

Inverted matrix: efficient discovery of frequent items in large datasets in the context of interactive mining (MEH, ORZ), pp. 109–118.

SIGIR-2003-XuLG #clustering #documentation

Document clustering based on non-negative matrix factorization (WX, XL, YG), pp. 267–273.

PPoPP-2003-FrensW #memory management #parallel

Factorization with morton-ordered quadtree matrices for memory re-use and parallelism (JDF, DSW), pp. 144–154.

ICML-2002-LanckrietCBGJ #kernel #learning #programming

Learning the Kernel Matrix with Semi-Definite Programming (GRGL, NC, PLB, LEG, MIJ), pp. 323–330.

ICPR-v2-2002-GuillametSV #classification #image

Analyzing Non-Negative Matrix Factorization for Image Classification (DG, BS, JV), pp. 116–119.

ICPR-v2-2002-GuillametV #metric #using

Determining a Suitable Metric when Using Non-Negative Matrix Factorization (DG, JV), pp. 128–131.

ICPR-v2-2002-RothW #algorithm

Some Improvements on Two Autocalibration Algorithms Based on the Fundamental Matrix (GR, AW), p. 312–?.

ICPR-v2-2002-Vaswani #classification #linear

A Linear Classifier for Gaussian Class Conditional Distributions with Unequal Covariance Matrices (NV), pp. 60–63.

DATE-2002-VanasscheGS #behaviour #modelling #using

Constructing Symbolic Models for the Input/Output Behavior of Periodically Time-Varying Systems Using Harmonic Transfer Matrices (PV, GGEG, WMCS), pp. 279–284.

DATE-2002-XuM

Formulation of Low-Order Dominant Poles for Y-Matrix of Interconnects (QX, PM), pp. 820–825.

STOC-2002-Raz #complexity #on the

On the complexity of matrix product (RR), pp. 144–151.

ICDAR-2001-BogushMAUK #correlation #image #performance

An Efficient Correlation Computation Method for Binary Images Based on Matrix Factorisation (RB, SM, SA, SU, SiK), pp. 312–316.

ITiCSE-2001-KorhonenMS #algorithm #animation #concept #named #simulation

Matrix — concept animation and algorithm simulation system (AK, LM, RS), p. 180.

DLT-2001-Harju #integer

Decision Questions on Integer Matrices (TH), pp. 57–68.

SIGIR-2001-MillerRS #algorithm #using

Modifications of Kleinberg’s HITS Algorithm Using Matrix Exponentiation and WebLog Records (JCM, GR, FS), pp. 444–445.

PPoPP-2001-WiseFGA

Language support for Morton-order matrices (DSW, JDF, YG, GAA), pp. 24–33.

STOC-2001-AchlioptasM #performance #rank

Fast computation of low rank matrix (DA, FM), pp. 611–618.

STOC-2001-FischerN #testing

Testing of matrix properties (EF, IN), pp. 286–295.

STOC-2001-JerrumSV #algorithm #approximate #polynomial

A polynomial-time approximation algorithm for the permanent of a matrix with non-negative entries (MJ, AS, EV), pp. 712–721.

STOC-2001-RazS #bound

Lower bounds for matrix product, in bounded depth circuits with arbitrary gates (RR, AS), pp. 409–418.

ICML-2000-SmolaS #approximate #machine learning

Sparse Greedy Matrix Approximation for Machine Learning (AJS, BS), pp. 911–918.

ICPR-v1-2000-HaymanKM #self

Self-Alignment of an Active Head from Observations of Rotation Matrices (EH, JK, DWM), pp. 1080–1084.

ICPR-v1-2000-IsgroT

A General Rank-2 Parameterization of the Fundamental Matrix (FI, ET), pp. 1868–1871.

ICPR-v1-2000-WangT #composition

An SVD Decomposition of Essential Matrix with Eight Solutions for the Relative Positions of Two Perspective Cameras (WW, HTT), pp. 1362–1365.

ICPR-v2-2000-CarcassoniH #proximity

An Improved Point Proximity Matrix for Modal Matching (MC, ERH), pp. 2034–2037.

ICPR-v2-2000-MetzlerAPL #classification #image #multi

Texture Classification of Graylevel Images by Multiscale Cross-Cooccurrence Matrices (VM, TA, CP, TML), pp. 2549–2552.

ICPR-v3-2000-AlbregtsenND #adaptation #distance

Adaptive Gray Level Run Length Features from Class Distance Matrices (FA, BN, HED), pp. 3746–3749.

ICPR-v3-2000-Perez-CordobaRST

Channel Optimized Matrix Quantizer (COMQ) in CELP Coding (JLPC, AJR, VES, ÁdlT), pp. 3270–3273.

SIGIR-2000-SrinivasanP #documentation #retrieval

Phonetic confusion matrix based spoken document retrieval (SS, DP), pp. 81–87.

HPCA-2000-ChatterjeeS

Cache-Efficient Matrix Transposition (SC, SS), pp. 195–205.

STOC-2000-Fortune #integer #symmetry

Exact computations of the inertia symmetric integer matrices (SF), pp. 556–564.

STOC-2000-Furer #approximate

Approximating permanents of complex matrices (MF), pp. 667–669.

STOC-2000-OlshevskyS #confluence

Matrix-vector product for confluent Cauchy-like matrices with application to confluent rational interpolation (VO, MAS), pp. 573–581.

IWPC-1999-KesslerS #approach #automation #comprehension

The SPARAMAT Approach to Automatic Comprehension of Sparse Matrix Computations (CWK, CS), pp. 200–207.

DLT-1999-Stiebe

Slender matrix languages (RS), pp. 375–385.

ICALP-1999-OlshevskyP #evaluation #polynomial

Polynomial and Rational Evaluation and Interpolation (with Structured Matrices) (VO, VYP), pp. 585–594.

ICALP-1999-Tiskin #named #parallel

Erratum: Bulk-synchronous Parallel Multiplication of Boolean Matrices (AT), pp. 717–718.

ICFP-1999-Okasaki #performance

From Fast Exponentiation to Square Matrices: An Adventure in Types (CO), pp. 28–35.

HCI-CCAD-1999-LiangL #metric #process #representation

Information representation and decision process: effects of measurement scale and shape of decision matrix on preferential choice (SFML, MRL), pp. 62–65.

HCI-EI-1999-Baumann #evaluation #feedback #usability

Matrix Evaluation Method for Planned Usability Improvements Based on Customer Feedback (KB), pp. 701–705.

SAC-1999-DumitrescuL #coordination #performance #reliability

Reliable and Efficient Matrix Processing with the Specification-Consistent Coordination Model (RAD, EFAL), pp. 191–193.

SAC-1999-RauberR99a

Matrix Computations Behind the Hierarchical Radiosity Method (TR, GR), pp. 533–540.

SAC-1999-Rivera-Gallego #algorithm #distance #problem #search-based

A Genetic Algorithm for Solving the Euclidean Distance Matrices Completion Problem (WRG), pp. 286–290.

PDP-1999-DoalloFZ #modelling #performance

Direct mapped cache performance modeling for sparse matrix operations (RD, BBF, ELZ), pp. 331–338.

STOC-1999-PanC #complexity #problem

The Complexity of the Matrix Eigenproblem (VYP, ZQC), pp. 507–516.

ICALP-1998-BiniCMM

Inversion of Circulant Matrices over Zm (DB, GMDC, GM, LM), pp. 719–730.

ICALP-1998-Tiskin #parallel

Bulk-Synchronous Parallel Multiplication of Boolean Matrices (AT), pp. 494–506.

SIGIR-1998-LagergrenO #empirical #information retrieval #interactive

Comparing Interactive Information Retrieval systems Across Sites: The TREC-6 Interactive Track Matrix Experiment (EL, PO), pp. 164–172.

PDP-1998-VesztergombiORV #algorithm #architecture #multi #scalability

Scalable matrix multiplication algorithm for IRAM architecture machine (GV, GÓ, FR, GV), pp. 367–372.

STOC-1998-LinialSW #algorithm #approximate #polynomial #scalability

A Deterministic Strongly Polynomial Algorithm for Matrix Scaling and Approximate Permanents (NL, AS, AW), pp. 644–652.

ICDAR-1997-SabourinDW #verification

Shape Matrices as a Mixed Shape Factor for Off-line Signature Verification (RS, JPD, ESW), pp. 661–666.

SAC-1997-TheobaldWB #concept #design

Design concepts for matrices and lattices in LiDIA (PT, SW, WB), pp. 532–536.

PDP-1997-VesztergombiORVT #architecture #parallel #scalability #string

Boolean matrix exponentiation: A case story for a scalable massively parallel matrix machine with string architecture (GV, GÓ, FR, GV, FT), pp. 461–467.

ICPR-1996-DeguchiN #interactive #using #visual notation

Visual servoing using eigenspace method and dynamic calculation of interaction matrices (KD, TN), pp. 302–306.

ICPR-1996-Hauta-KasariPJL #analysis #multi

Generalized co-occurrence matrix for multispectral texture analysis (MHK, JP, TJ, RL), pp. 785–789.

PDP-1996-Lloyd #parallel #scalability

Parallel Formulations of Matrix-Vector Multiplication for Matrices with Large Aspect Ratios (JL), pp. 102–108.

PDP-1996-MollarH #distributed #memory management #multi

Computing the Singular Values of the Product of Two Matrices in Distributed Memory Multiprocessors (MM, VH), pp. 15–21.

STOC-1996-AllenderBO #complexity #equation #linear #rank

The Complexity of Matrix Rank and Feasible Systems of Linear Equations (EA, RB, MO), pp. 161–167.

CADE-1996-SchmittK #proving

Converting Non-Classical Matrix Proofs into Sequent-Style Systems (SS, CK), pp. 418–432.

ICDAR-v1-1995-ChiuTC #invariant #recognition #using

Invariant handwritten Chinese character recognition using weighted ring-data matrix (HPC, DCT, JCC), pp. 116–119.

ICALP-1995-GiancarloG #algorithm #on the

On the Construction of Classes of Suffix Trees for Square Matrices: Algorithms and Applications (RG, RG), pp. 111–122.

CIKM-1995-DashH #knowledge base #multi #semantics

The Semantic Matrix Model (SMM): A Knowledge Based Solution to Semantic Homogeneity in Multidatabases (KID, ARH), pp. 122–128.

SAC-1995-LiangL #algorithm #representation #scheduling #search-based #using

A sparse matrix representation for production scheduling using genetic algorithms (SJTL, JML), pp. 313–317.

SAC-1995-LuoD #algorithm #parallel #scalability

A scalable parallel Strassen’s matrix multiplication algorithm for distributed-memory computers (QL, JBD), pp. 221–226.

DAC-1995-NakamuraY #clustering #logic #optimisation #scalability

A Partitioning-Based Logic Optimization Method for Large Scale Circuits with Boolean Matrix (YN, TY), pp. 653–657.

PDP-1995-BadiaV #multi #performance #problem #symmetry

Efficient solution of the eigenproblem of banded symmetric Toeplitz matrices on multicomputers (JMB, AMV), pp. 416–423.

PDP-1995-LuoUX

Continuous-time computation of the eigenvectors of a class of positive definite matrices (FLL, RU, HX), pp. 464–471.

PDP-1995-Ralha #algorithm #parallel #symmetry

Parallel QR algorithm for the complete eigensystem of symmetric matrices (RMSR), pp. 480–485.

DAC-1993-MotoharaHMMKSS #algorithm #traversal #using

A State Traversal Algorithm Using a State Covariance Matrix (AM, TH, MM, HM, KK, YS, SS), pp. 97–101.

PDP-1993-HuesoHM #algorithm #equation

Systolic algorithms for matrix functions via the commutant equation (JLH, VH, GM), pp. 222–229.

PDP-1993-LawsonMH #named #using

SMART: a neurocomputer using sparse matrices (JCL, NM, JH), pp. 59–64.

PDP-1993-StuartW #algorithm #array #parallel #scalability #set #symmetry #using

An algorithm far the parallel computation of subsets of eigenvalues and associated eigenvectors of large symmetric matrices using an array processor (EJS, JSW), pp. 211–217.

STOC-1993-HershbergerS #metric

Matrix searching with the shortest path metric (JH, SS), pp. 485–494.

STOC-1993-PapadimitriouY #linear #programming

Linear programming without the matrix (CHP, MY), pp. 121–129.

CSCW-1992-JeffayLMSS #architecture #collaboration

Architecture of the Artifact-Based Collaboration System Matrix (KJ, JKL, JM, FDS, JBS), pp. 195–202.

STOC-1992-FeigeL #on the #random

On the Hardness of Computing the Permanent of Random Matrices (UF, CL), pp. 643–654.

STOC-1992-VenkatesanR #problem

Average Case Intractability of Matrix and Diophantine Problems (RV, SR), pp. 632–642.

ICALP-1991-BiniGP #parallel

Improved Parallel Computations with Matrices and Polynomials (DB, LG, VYP), pp. 520–531.

CHI-1991-HammondBCHMY #design #modelling

Modelling user, system design: results of a scenarios matrix exercise (NH, PJB, JC, MDH, AM, RMY), pp. 377–380.

DAC-1991-HoS #flexibility

Flexible Transistor Matrix (FTM) (KCH, SS), pp. 475–480.

DAC-1990-SinghC #layout #order

A Transistor Reordering Technique for Gate Matrix Layout (US, CYRC), pp. 462–467.

DAC-1989-IrwinO #2d #comparison #layout #tool support

A Comparison of Four Two-dimensional Gate Matrix Layout Tools (MJI, RMO), pp. 698–701.

DAC-1989-LinDY #2d #layout #synthesis

Gate Matrix Layout Synthesis with Two-Dimensional Folding (IL, DHCD, SHCY), pp. 37–42.

DAC-1989-SadayappanV #performance #simulation

Efficient Sparse Matrix Factorization for Circuit Simulation on Vector Supercomputers (PS, VV), pp. 13–18.

ICALP-1988-DietzfelbingerM #complexity #turing machine

The Complexity of Matrix Transposition on One-Tape Off-Line Turing Machines with Output Tape (MD, WM), pp. 188–200.

CADE-1988-MalkinM #generative #logic #testing

Logical Matrix Generation and Testing (PKM, EPM), pp. 685–693.

CADE-1988-Socher #algorithm

A Subsumption Algorithm Based on Characteristic Matrices (RS), pp. 573–581.

FPCA-1987-Wise #algebra #programming

Matrix algebra and applicative programming (DSW), pp. 134–153.

DAC-1987-ChangCH #approach #automation #generative #layout #using

Automated Layout Generation Using Gate Matrix Approach (YCC, SCC, LHH), pp. 552–558.

STOC-1987-CoppersmithW #multi

Matrix Multiplication via Arithmetic Progressions (DC, SW), pp. 1–6.

STOC-1987-MulmuleyVV

Matching Is as Easy as Matrix Inversion (KM, UVV, VVV), pp. 345–354.

ICALP-1986-Mascle

Torsion Matrix Semigroups and Recognizable Transductions (JPM), pp. 244–253.

DAC-1986-FreemanKLN #automation #layout #modelling

Automated extraction of SPICE circuit models from symbolic gate matrix layout with pruning (RDF, SMK, CGLH, MLN), pp. 418–424.

STOC-1986-Mulmuley #algorithm #parallel #performance #rank

A Fast Parallel Algorithm to Compute the Rank of a Matrix over an Arbitrary Field (KM), pp. 338–339.

ICALP-1985-VarmanR #array #multi #on the #using

On Matrix Multiplication Using Array Processors (PJV, IVR), pp. 487–496.

STOC-1985-Lubiw #order

Doubly Lexical Orderings of Matrices (AL), pp. 396–404.

ICALP-1984-Ferment #product line

Principality Results About Some Matrix Languages Families (DF), pp. 151–161.

ICALP-1984-Jung #complexity #on the #performance #probability #problem

On Probabilistic Tape Complexity and Fast Circuits for Matrix Inversion Problems (HJ), pp. 281–291.

DAC-1982-KangKL #adaptation #cpu #design #evolution #layout #logic #random

Gate matrix layout of random control logic in a 32-bit CMOS CPU chip adaptable to evolving logic design (SMK, RHK, HFSL), pp. 170–174.

CADE-1982-Caferra #proving #reduction #validation

Proof by Matrix Reduction as Plan + Validation (RC), pp. 309–325.

SCC-1979-Pleban #compilation #recursion #using

The use of transition matrices in a recursive-descent compiler (UFP), pp. 144–151.

VLDB-1978-Ashany #analysis #classification #database #retrieval #scalability

Application of Sparse Matrix Techniques to Search, Retrieval, Classification and Relationship Analysis in Large Data Base Systems — SPARCOM (RA), pp. 499–516.

ICALP-1977-Jacob #french

Complexite des Demi-Groupes de Matrices (GJ), pp. 269–281.

ICALP-1974-Fischer #algorithm

Further Schemes for Combining Matrix Algorithms (PCF), pp. 428–436.

ICALP-1974-FischerP #algorithm #performance #using

Efficient Procedures for Using Matrix Algorithms (PCF, RLP), pp. 413–427.

STOC-1974-Kirkpatrick #graph

Determining Graph Properties from Matrix Representations (DGK), pp. 84–90.

STOC-1974-Pratt #multi #power of

The Power of Negative Thinking in Multiplying Boolean Matrices (VRP), pp. 80–83.

STOC-1973-HopcroftM #complexity #multi

Duality Applied to the Complexity of Matrix Multiplications and other Bilinear Forms (JEH, JM), pp. 73–87.

STOC-1971-Fiduccia #multi #performance

Fast Matrix Multiplication (CMF), pp. 45–49.