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Stem manifold$ (all stems)

106 papers:

ICMLICML-2015-CohenW #exponential #product line
Harmonic Exponential Families on Manifolds (TC, MW), pp. 1757–1765.
ICMLICML-2015-HuangWSLC #classification #image #learning #metric #set #symmetry
Log-Euclidean Metric Learning on Symmetric Positive Definite Manifold with Application to Image Set Classification (ZH, RW, SS, XL, XC), pp. 720–729.
ICMLICML-2015-KimXVS #process
Manifold-valued Dirichlet Processes (HJK, JX, BCV, VS), pp. 1199–1208.
ICMLICML-2015-LiangP #process
Landmarking Manifolds with Gaussian Processes (DL, JP), pp. 466–474.
SIGIRSIGIR-2015-TanWX #matrix #multi #summary #topic
Joint Matrix Factorization and Manifold-Ranking for Topic-Focused Multi-Document Summarization (JT, XW, JX), pp. 987–990.
VLDBVLDB-2015-FujiwaraIKO14 #image #ranking #retrieval #scalability
Scaling Manifold Ranking Based Image Retrieval (YF, GI, SK, MO), pp. 341–352.
ICMLICML-c2-2014-ReedSZL #interactive #learning
Learning to Disentangle Factors of Variation with Manifold Interaction (SR, KS, YZ, HL), pp. 1431–1439.
ICMLICML-c2-2014-SunM #geometry #learning #statistics
An Information Geometry of Statistical Manifold Learning (KS, SMM), pp. 1–9.
ICPRICPR-2014-BloomMA #clustering #online #recognition
Clustered Spatio-temporal Manifolds for Online Action Recognition (VB, DM, VA), pp. 3963–3968.
ICPRICPR-2014-GanSZ #learning
An Extended Isomap for Manifold Topology Learning with SOINN Landmarks (QG, FS, JZ), pp. 1579–1584.
ICPRICPR-2014-GousenbourgerSA #2d
Piecewise-Bézier C1 Interpolation on Riemannian Manifolds with Application to 2D Shape Morphing (PYG, CS, PAA), pp. 4086–4091.
ICPRICPR-2014-ItohIS #2d #image #linear #using
Two-Dimensional Global Image Registration Using Local Linear Property of Image Manifold (HI, AI, TS), pp. 3862–3867.
ICPRICPR-2014-LiaoQZ #data-driven #database #visualisation
Visualization of Hyperspectral Imaging Data Based on Manifold Alignment (DL, YQ, JZ), pp. 70–75.
ICPRICPR-2014-SamantaC #classification #using
Indian Classical Dance Classification on Manifold Using Jensen-Bregman LogDet Divergence (SS, BC), pp. 4507–4512.
ICPRICPR-2014-SchneiderSS #estimation #independence
Manifold Alignment for Person Independent Appearance-Based Gaze Estimation (TS, BS, RS), pp. 1167–1172.
ICPRICPR-2014-TaoIWS #approximate #data transformation #rank #representation
Ensemble Manifold Structured Low Rank Approximation for Data Representation (LT, HHSI, YW, XS), pp. 744–749.
ICPRICPR-2014-TuiaVC #image #metric
Unsupervised Alignment of Image Manifolds with Centrality Measures (DT, MV, GCV), pp. 912–917.
ICPRICPR-2014-WerghiBB
Computing Local Binary Patterns on Discrete Manifolds (NW, SB, ADB), pp. 2430–2435.
MLDMMLDM-2014-KuleshovB #data mining #learning #mining
Manifold Learning in Data Mining Tasks (APK, AVB), pp. 119–133.
ICMLICML-c2-2013-MinhBM #framework #learning #multi
A unifying framework for vector-valued manifold regularization and multi-view learning (HQM, LB, VM), pp. 100–108.
ICMLICML-c3-2013-KimS #approximate #modelling #topic
Manifold Preserving Hierarchical Topic Models for Quantization and Approximation (MK, PS), pp. 1373–1381.
ICMLICML-c3-2013-WangMF #adaptation #monte carlo
Adaptive Hamiltonian and Riemann Manifold Monte Carlo (ZW, SM, NdF), pp. 1462–1470.
DRRDRR-2012-SaldarriagaMV #ranking #word
Retrieving handwriting by combining word spotting and manifold ranking (SPS, EM, CVG).
CIKMCIKM-2012-LiBCH #clustering #learning #relational
Relational co-clustering via manifold ensemble learning (PL, JB, CC, ZH), pp. 1687–1691.
ICMLICML-2012-BootsG #identification #problem
Two Manifold Problems with Applications to Nonlinear System Identification (BB, GJG), p. 8.
ICMLICML-2012-DamianouETL
Manifold Relevance Determination (ACD, CHE, MKT, NDL), p. 72.
ICMLICML-2012-GongZM #learning #multi #robust
Robust Multiple Manifold Structure Learning (DG, XZ, GGM), p. 7.
ICMLICML-2012-YgerBGR #adaptation #analysis #canonical #correlation #matrix
Adaptive Canonical Correlation Analysis Based On Matrix Manifolds (FY, MB, GG, AR), p. 43.
ICPRICPR-2012-ChenHCHC #analysis #using
Occluded human action analysis using dynamic manifold model (LCC, JWH, CHC, CYH, DYC), pp. 1245–1248.
ICPRICPR-2012-GuK #learning #online #visual notation
Grassmann manifold online learning and partial occlusion handling for visual object tracking under Bayesian formulation (IYHG, ZHK), pp. 1463–1466.
ICPRICPR-2012-LeeCP #estimation #using
Articulated hand configuration and rotation estimation using extended torus manifold embedding (CSL, SYC, SWP), pp. 441–444.
ICPRICPR-2012-MatsudaY #multi #ranking #recognition
Multiple-food recognition considering co-occurrence employing manifold ranking (YM, KY), pp. 2017–2020.
ICPRICPR-2012-MoutzourisRNM
Human pose tracking by Hierarchical Manifold Searching (AM, JMdR, JCN, DM), pp. 866–869.
ICPRICPR-2012-SunBM #learning
Unsupervised skeleton learning for manifold denoising (KS, EB, SMM), pp. 2719–2722.
ICPRICPR-2012-WangC #3d #visual notation
Recovering human pose in 3D by visual manifolds (ZW, RC), pp. 1771–1774.
ICPRICPR-2012-WangLNZ #image #retrieval
Local tangent space based manifold entropy for image retrieval (YW, HL, JN, LZ), pp. 262–265.
ICPRICPR-2012-YuL #3d #refinement
Genus refinement of a manifold surface reconstructed by sculpting the 3d-Delaunay triangulation of Structure-from-Motion points (SY, ML), pp. 1021–1025.
ICPRICPR-2012-Zheng0CP #adaptation #approach
A Grassmann manifold-based domain adaptation approach (JZ, MYL, RC, PJP), pp. 2095–2099.
ICPRICPR-2012-ZhuHR #visual notation
Visual saliency: A manifold way of perception (HZ, BH, XR), pp. 2606–2609.
ICDARICDAR-2011-TaoLJG #learning #locality #recognition #using
Similar Handwritten Chinese Character Recognition Using Discriminative Locality Alignment Manifold Learning (DT, LL, LJ, YG), pp. 1012–1016.
CIKMCIKM-2011-WangYS #documentation #feedback
Relevance feedback exploiting query-specific document manifolds (CW, EY, MS), pp. 1957–1960.
ICMLICML-2011-BabenkoVDB #learning #multi
Multiple Instance Learning with Manifold Bags (BB, NV, PD, SB), pp. 81–88.
ICMLICML-2011-LeeW #identification #learning #online #probability
Manifold Identification of Dual Averaging Methods for Regularized Stochastic Online Learning (SL, SJW), pp. 1121–1128.
ICMLICML-2011-MinhS
Vector-valued Manifold Regularization (HQM, VS), pp. 57–64.
KDDKDD-2011-ZhouBS #approach #graph #ranking
An iterated graph laplacian approach for ranking on manifolds (XZ, MB, NS), pp. 877–885.
SIGIRSIGIR-2011-XuBCCHLL #image #performance #ranking #retrieval
Efficient manifold ranking for image retrieval (BX, JB, CC, DC, XH, WL, JL), pp. 525–534.
SACSAC-2011-BanZATK #mining
Mining interlacing manifolds in high dimensional spaces (TB, CZ, SA, TT, YK), pp. 942–949.
CIKMCIKM-2010-DuGZC #ranking #summary
Manifold ranking with sink points for update summarization (PD, JG, JZ, XC), pp. 1757–1760.
CIKMCIKM-2010-FangSS #clustering #learning #multi
Multilevel manifold learning with application to spectral clustering (HrF, SS, YS), pp. 419–428.
CIKMCIKM-2010-ZhaoBCGWZ #concurrent #learning #online #recommendation #thread
Learning a user-thread alignment manifold for thread recommendation in online forum (JZ, JB, CC, ZG, CW, CZ), pp. 559–568.
ICPRICPR-2010-CaseiroHB #modelling #segmentation
Foreground Segmentation via Background Modeling on Riemannian Manifolds (RC, JFH, JB), pp. 3570–3574.
ICPRICPR-2010-FangGC #estimation
Discriminant Feature Manifold for Facial Aging Estimation (HF, PWG, MC), pp. 593–596.
ICPRICPR-2010-HurWL #estimation #invariant #learning
View Invariant Body Pose Estimation Based on Biased Manifold Learning (DH, CW, SWL), pp. 3866–3869.
ICPRICPR-2010-JunG #classification #process
Nearest-Manifold Classification with Gaussian Processes (GJ, JG), pp. 914–917.
ICPRICPR-2010-LeeP #information retrieval #using
Tracking Hand Rotation and Grasping from an IR Camera Using Cylindrical Manifold Embedding (CSL, SWP), pp. 2612–2615.
ICPRICPR-2010-PaivaT #detection #image #using
Detection of Salient Image Points Using Principal Subspace Manifold Structure (ARCP, TT), pp. 1389–1392.
ICPRICPR-2010-TorkiEL #learning #multi #representation #set
Learning a Joint Manifold Representation from Multiple Data Sets (MT, AME, CSL), pp. 1068–1071.
ICPRICPR-2010-TosatoFCM #detection
A Re-evaluation of Pedestrian Detection on Riemannian Manifolds (DT, MF, MC, VM), pp. 3308–3311.
ICPRICPR-2010-TsagkatakisS #distance #modelling #random #recognition
Manifold Modeling with Learned Distance in Random Projection Space for Face Recognition (GT, AES), pp. 653–656.
ICPRICPR-2010-XiaoZZS #classification #multi
Data Classification on Multiple Manifolds (RX, QZ, DZ, PS), pp. 3898–3901.
ICPRICPR-2010-YangSZ #analysis #multi #recognition #using
Face Recognition Using a Multi-manifold Discriminant Analysis Method (WY, CS, LZ), pp. 527–530.
KDDKDD-2010-HuhF #learning #modelling #topic
Discriminative topic modeling based on manifold learning (SH, SEF), pp. 653–662.
CIKMCIKM-2009-ChenLQZ #classification
Instance- and bag-level manifold regularization for aggregate outputs classification (SC, BL, MQ, CZ), pp. 1593–1596.
KDDKDD-2009-GuZ #clustering
Co-clustering on manifolds (QG, JZ), pp. 359–368.
ICSMEICSM-2008-KothariBMS #algebra #development #on the #performance #using
On evaluating the efficiency of software feature development using algebraic manifolds (JK, DB, SM, AS), pp. 7–16.
STOCSTOC-2008-DasguptaF #random
Random projection trees and low dimensional manifolds (SD, YF), pp. 537–546.
CIKMCIKM-2008-CaiMHZ #documentation #modelling #topic
Modeling hidden topics on document manifold (DC, QM, JH, CZ), pp. 911–920.
ICMLICML-2008-KarlenWEC #scalability
Large scale manifold transduction (MK, JW, AE, RC), pp. 448–455.
ICMLICML-2008-LoeffFR #approximate #learning #named
ManifoldBoost: stagewise function approximation for fully-, semi- and un-supervised learning (NL, DAF, DR), pp. 600–607.
ICMLICML-2008-SindhwaniR #learning #multi
An RKHS for multi-view learning and manifold co-regularization (VS, DSR), pp. 976–983.
ICMLICML-2008-WangM #analysis #using
Manifold alignment using Procrustes analysis (CW, SM), pp. 1120–1127.
ICPRICPR-2008-GaoCY #modelling #process
Manifold denoising with Gaussian Process Latent Variable Models (YG, KLC, WYY), pp. 1–4.
ICPRICPR-2008-QiSYY #distance
Contour grouping with shape manifold and distance transform (QZ, SL, YH, YL), pp. 1–4.
ICPRICPR-2008-ShajiCS #optimisation
Manifold optimisation for motion factorisation (AS, SC, DS), pp. 1–4.
ICPRICPR-2008-WuWLL #probability
Probabilistic tracking on Riemannian manifolds (YW, BW, JL, HL), pp. 1–4.
ICMLICML-2007-DollarRB #algorithm #analysis #learning
Non-isometric manifold learning: analysis and an algorithm (PD, VR, SJB), pp. 241–248.
ICMLICML-2007-FarahmandSA #adaptation #estimation
Manifold-adaptive dimension estimation (AMF, CS, JYA), pp. 265–272.
ICMLICML-2007-Mahadevan #3d #adaptation #learning #multi #using
Adaptive mesh compression in 3D computer graphics using multiscale manifold learning (SM), pp. 585–592.
ICMLICML-2007-NilssonSJ #kernel #reduction #using
Regression on manifolds using kernel dimension reduction (JN, FS, MIJ), pp. 697–704.
ICMLICML-2007-WangYHLT
Transductive regression piloted by inter-manifold relations (HW, SY, TSH, JL, XT), pp. 967–974.
KDDKDD-2007-ChopraTLCL #parametricity
Discovering the hidden structure of house prices with a non-parametric latent manifold model (SC, TT, JL, AC, YL), pp. 173–182.
ICPRICPR-v1-2006-CaoH #clustering
Nonlinear Manifold Clustering By Dimensionality (WC, RMH), pp. 920–924.
ICPRICPR-v1-2006-LiuLYAL #coordination #using
Object Tracking Using Globally Coordinated Nonlinear Manifolds (CBL, RSL, MHY, NA, SEL), pp. 844–847.
ICPRICPR-v2-2006-ChenJY #learning #reduction #robust
Robust Nonlinear Dimensionality Reduction for Manifold Learning (HC, GJ, KY), pp. 447–450.
ICPRICPR-v2-2006-WuLZH #learning
A Semi-supervised SVM for Manifold Learning (ZW, ChL, JZ, JH), pp. 490–493.
ICPRICPR-v3-2006-LeeE06a #using
Simultaneous Inference of View and Body Pose using Torus Manifolds (CSL, AME), pp. 489–494.
ICPRICPR-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.
ICPRICPR-v3-2006-YouCBLT #analysis #speech
Emotional Speech Analysis on Nonlinear Manifold (MY, CC, JB, JL, JT), pp. 91–94.
ICPRICPR-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.
ICMLICML-2005-BreitenbachG #clustering #ranking
Clustering through ranking on manifolds (MB, GZG), pp. 73–80.
MLDMMLDM-2005-HaralickH #clustering #linear
Linear Manifold Clustering (RMH, RH), pp. 132–141.
SIGIRSIGIR-2005-ZhangCL #classification #kernel #multi
Text classification with kernels on the multinomial manifold (DZ, XC, WSL), pp. 266–273.
SACSAC-2005-MartinB #fault
Estimating manifold dimension by inversion error (SM, AB), pp. 22–26.
ICMLICML-2004-HamLMS #kernel #reduction
A kernel view of the dimensionality reduction of manifolds (JH, DDL, SM, BS).
ICMLICML-2004-LebanonL #classification #multi
Hyperplane margin classifiers on the multinomial manifold (GL, JDL).
ICPRICPR-v3-2004-LuoWH #graph
Graph Manifolds from Spectral Polynomials (BL, RCW, ERH), pp. 402–405.
ICPRICPR-v4-2004-RaytchevYS #estimation #learning
Head Pose Estimation by Nonlinear Manifold Learning (BR, IY, KS), pp. 462–466.
ICPRICPR-v4-2004-WuCW04a #learning #recognition
Face Recognition Based on Discriminative Manifold Learning (YW, KLC, LW), pp. 171–174.
MLDMMLDM-2003-HadidP #linear #performance
Efficient Locally Linear Embeddings of Imperfect Manifolds (AH, MP), pp. 188–201.
STOCSTOC-2002-AgolHT
3-manifold knot genus is NP-complet (IA, JH, WPT), pp. 761–766.
ICPRICPR-v2-2002-SaalbachHR #representation
Representing Object Manifolds by Parametrized SOMs (AS, GH, HJR), pp. 184–187.
ICPRICPR-v3-2002-ShashuaLA #approach #recognition
Manifold Pursuit: A New Approach to Appearance Based Recognition (AS, AL, SA), pp. 590–594.
MLDMMLDM-2001-ImiyaO #linear
PCA-Based Model Selection and Fitting for Linear Manifolds (AI, HO), pp. 278–292.
TOOLSTOOLS-PACIFIC-1998-HerringK #component #named
Manifolds: Cellular Component Organizations (CH, SMK), pp. 287–298.
SACSAC-1998-PapadopoulosA #coordination #information management #modelling #process #using
Modelling activities in information systems using the coordination language MANIFOLD (GAP, FA), pp. 185–193.
STOCSTOC-1996-DeyG #algorithm
Algorithms for Manifolds and Simplicial Complexes in Euclidean 3-Space (Preliminary Version) (TKD, SG), pp. 398–407.

Bibliography of Software Language Engineering in Generated Hypertext (BibSLEIGH) is created and maintained by Dr. Vadim Zaytsev.
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