Stem manifold$ (all stems)

106 papers:

ICML-2015-CohenW #exponential #product line

Harmonic Exponential Families on Manifolds (TC, MW), pp. 1757–1765.

ICML-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.

ICML-2015-KimXVS #process

Manifold-valued Dirichlet Processes (HJK, JX, BCV, VS), pp. 1199–1208.

ICML-2015-LiangP #process

Landmarking Manifolds with Gaussian Processes (DL, JP), pp. 466–474.

SIGIR-2015-TanWX #matrix #multi #summary #topic

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

VLDB-2015-FujiwaraIKO14 #image #ranking #retrieval #scalability

Scaling Manifold Ranking Based Image Retrieval (YF, GI, SK, MO), pp. 341–352.

ICML-c2-2014-ReedSZL #interactive #learning

Learning to Disentangle Factors of Variation with Manifold Interaction (SR, KS, YZ, HL), pp. 1431–1439.

ICML-c2-2014-SunM #geometry #learning #statistics

An Information Geometry of Statistical Manifold Learning (KS, SMM), pp. 1–9.

ICPR-2014-BloomMA #clustering #online #recognition

Clustered Spatio-temporal Manifolds for Online Action Recognition (VB, DM, VA), pp. 3963–3968.

ICPR-2014-GanSZ #learning

An Extended Isomap for Manifold Topology Learning with SOINN Landmarks (QG, FS, JZ), pp. 1579–1584.

ICPR-2014-GousenbourgerSA #2d

Piecewise-Bézier C1 Interpolation on Riemannian Manifolds with Application to 2D Shape Morphing (PYG, CS, PAA), pp. 4086–4091.

ICPR-2014-ItohIS #2d #image #linear #using

Two-Dimensional Global Image Registration Using Local Linear Property of Image Manifold (HI, AI, TS), pp. 3862–3867.

ICPR-2014-LiaoQZ #data-driven #database #visualisation

Visualization of Hyperspectral Imaging Data Based on Manifold Alignment (DL, YQ, JZ), pp. 70–75.

ICPR-2014-SamantaC #classification #using

Indian Classical Dance Classification on Manifold Using Jensen-Bregman LogDet Divergence (SS, BC), pp. 4507–4512.

ICPR-2014-SchneiderSS #estimation #independence

Manifold Alignment for Person Independent Appearance-Based Gaze Estimation (TS, BS, RS), pp. 1167–1172.

ICPR-2014-TaoIWS #approximate #data transformation #rank #representation

Ensemble Manifold Structured Low Rank Approximation for Data Representation (LT, HHSI, YW, XS), pp. 744–749.

ICPR-2014-TuiaVC #image #metric

Unsupervised Alignment of Image Manifolds with Centrality Measures (DT, MV, GCV), pp. 912–917.

ICPR-2014-WerghiBB

Computing Local Binary Patterns on Discrete Manifolds (NW, SB, ADB), pp. 2430–2435.

MLDM-2014-KuleshovB #data mining #learning #mining

Manifold Learning in Data Mining Tasks (APK, AVB), pp. 119–133.

ICML-c2-2013-MinhBM #framework #learning #multi

A unifying framework for vector-valued manifold regularization and multi-view learning (HQM, LB, VM), pp. 100–108.

ICML-c3-2013-KimS #approximate #modelling #topic

Manifold Preserving Hierarchical Topic Models for Quantization and Approximation (MK, PS), pp. 1373–1381.

ICML-c3-2013-WangMF #adaptation #monte carlo

Adaptive Hamiltonian and Riemann Manifold Monte Carlo (ZW, SM, NdF), pp. 1462–1470.

DRR-2012-SaldarriagaMV #ranking #word

Retrieving handwriting by combining word spotting and manifold ranking (SPS, EM, CVG).

CIKM-2012-LiBCH #clustering #learning #relational

Relational co-clustering via manifold ensemble learning (PL, JB, CC, ZH), pp. 1687–1691.

ICML-2012-BootsG #identification #problem

Two Manifold Problems with Applications to Nonlinear System Identification (BB, GJG), p. 8.

ICML-2012-DamianouETL

Manifold Relevance Determination (ACD, CHE, MKT, NDL), p. 72.

ICML-2012-GongZM #learning #multi #robust

Robust Multiple Manifold Structure Learning (DG, XZ, GGM), p. 7.

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

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

ICPR-2012-ChenHCHC #analysis #using

Occluded human action analysis using dynamic manifold model (LCC, JWH, CHC, CYH, DYC), pp. 1245–1248.

ICPR-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.

ICPR-2012-LeeCP #estimation #using

Articulated hand configuration and rotation estimation using extended torus manifold embedding (CSL, SYC, SWP), pp. 441–444.

ICPR-2012-MatsudaY #multi #ranking #recognition

Multiple-food recognition considering co-occurrence employing manifold ranking (YM, KY), pp. 2017–2020.

ICPR-2012-MoutzourisRNM

Human pose tracking by Hierarchical Manifold Searching (AM, JMdR, JCN, DM), pp. 866–869.

ICPR-2012-SunBM #learning

Unsupervised skeleton learning for manifold denoising (KS, EB, SMM), pp. 2719–2722.

ICPR-2012-WangC #3d #visual notation

Recovering human pose in 3D by visual manifolds (ZW, RC), pp. 1771–1774.

ICPR-2012-WangLNZ #image #retrieval

Local tangent space based manifold entropy for image retrieval (YW, HL, JN, LZ), pp. 262–265.

ICPR-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.

ICPR-2012-Zheng0CP #adaptation #approach

A Grassmann manifold-based domain adaptation approach (JZ, MYL, RC, PJP), pp. 2095–2099.

ICPR-2012-ZhuHR #visual notation

Visual saliency: A manifold way of perception (HZ, BH, XR), pp. 2606–2609.

ICDAR-2011-TaoLJG #learning #locality #recognition #using

Similar Handwritten Chinese Character Recognition Using Discriminative Locality Alignment Manifold Learning (DT, LL, LJ, YG), pp. 1012–1016.

CIKM-2011-WangYS #documentation #feedback

Relevance feedback exploiting query-specific document manifolds (CW, EY, MS), pp. 1957–1960.

ICML-2011-BabenkoVDB #learning #multi

Multiple Instance Learning with Manifold Bags (BB, NV, PD, SB), pp. 81–88.

ICML-2011-LeeW #identification #learning #online #probability

Manifold Identification of Dual Averaging Methods for Regularized Stochastic Online Learning (SL, SJW), pp. 1121–1128.

ICML-2011-MinhS

Vector-valued Manifold Regularization (HQM, VS), pp. 57–64.

KDD-2011-ZhouBS #approach #graph #ranking

An iterated graph laplacian approach for ranking on manifolds (XZ, MB, NS), pp. 877–885.

SIGIR-2011-XuBCCHLL #image #performance #ranking #retrieval

Efficient manifold ranking for image retrieval (BX, JB, CC, DC, XH, WL, JL), pp. 525–534.

SAC-2011-BanZATK #mining

Mining interlacing manifolds in high dimensional spaces (TB, CZ, SA, TT, YK), pp. 942–949.

CIKM-2010-DuGZC #ranking #summary

Manifold ranking with sink points for update summarization (PD, JG, JZ, XC), pp. 1757–1760.

CIKM-2010-FangSS #clustering #learning #multi

Multilevel manifold learning with application to spectral clustering (HrF, SS, YS), pp. 419–428.

CIKM-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.

ICPR-2010-CaseiroHB #modelling #segmentation

Foreground Segmentation via Background Modeling on Riemannian Manifolds (RC, JFH, JB), pp. 3570–3574.

ICPR-2010-FangGC #estimation

Discriminant Feature Manifold for Facial Aging Estimation (HF, PWG, MC), pp. 593–596.

ICPR-2010-HurWL #estimation #invariant #learning

View Invariant Body Pose Estimation Based on Biased Manifold Learning (DH, CW, SWL), pp. 3866–3869.

ICPR-2010-JunG #classification #process

Nearest-Manifold Classification with Gaussian Processes (GJ, JG), pp. 914–917.

ICPR-2010-LeeP #information retrieval #using

Tracking Hand Rotation and Grasping from an IR Camera Using Cylindrical Manifold Embedding (CSL, SWP), pp. 2612–2615.

ICPR-2010-PaivaT #detection #image #using

Detection of Salient Image Points Using Principal Subspace Manifold Structure (ARCP, TT), pp. 1389–1392.

ICPR-2010-TorkiEL #learning #multi #representation #set

Learning a Joint Manifold Representation from Multiple Data Sets (MT, AME, CSL), pp. 1068–1071.

ICPR-2010-TosatoFCM #detection

A Re-evaluation of Pedestrian Detection on Riemannian Manifolds (DT, MF, MC, VM), pp. 3308–3311.

ICPR-2010-TsagkatakisS #distance #modelling #random #recognition

Manifold Modeling with Learned Distance in Random Projection Space for Face Recognition (GT, AES), pp. 653–656.

ICPR-2010-XiaoZZS #classification #multi

Data Classification on Multiple Manifolds (RX, QZ, DZ, PS), pp. 3898–3901.

ICPR-2010-YangSZ #analysis #multi #recognition #using

Face Recognition Using a Multi-manifold Discriminant Analysis Method (WY, CS, LZ), pp. 527–530.

KDD-2010-HuhF #learning #modelling #topic

Discriminative topic modeling based on manifold learning (SH, SEF), pp. 653–662.

CIKM-2009-ChenLQZ #classification

Instance- and bag-level manifold regularization for aggregate outputs classification (SC, BL, MQ, CZ), pp. 1593–1596.

KDD-2009-GuZ #clustering

Co-clustering on manifolds (QG, JZ), pp. 359–368.

ICSM-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.

STOC-2008-DasguptaF #random

Random projection trees and low dimensional manifolds (SD, YF), pp. 537–546.

CIKM-2008-CaiMHZ #documentation #modelling #topic

Modeling hidden topics on document manifold (DC, QM, JH, CZ), pp. 911–920.

ICML-2008-KarlenWEC #scalability

Large scale manifold transduction (MK, JW, AE, RC), pp. 448–455.

ICML-2008-LoeffFR #approximate #learning #named

ManifoldBoost: stagewise function approximation for fully-, semi- and un-supervised learning (NL, DAF, DR), pp. 600–607.

ICML-2008-SindhwaniR #learning #multi

An RKHS for multi-view learning and manifold co-regularization (VS, DSR), pp. 976–983.

ICML-2008-WangM #analysis #using

Manifold alignment using Procrustes analysis (CW, SM), pp. 1120–1127.

ICPR-2008-GaoCY #modelling #process

Manifold denoising with Gaussian Process Latent Variable Models (YG, KLC, WYY), pp. 1–4.

ICPR-2008-QiSYY #distance

Contour grouping with shape manifold and distance transform (QZ, SL, YH, YL), pp. 1–4.

ICPR-2008-ShajiCS #optimisation

Manifold optimisation for motion factorisation (AS, SC, DS), pp. 1–4.

ICPR-2008-WuWLL #probability

Probabilistic tracking on Riemannian manifolds (YW, BW, JL, HL), pp. 1–4.

ICML-2007-DollarRB #algorithm #analysis #learning

Non-isometric manifold learning: analysis and an algorithm (PD, VR, SJB), pp. 241–248.

ICML-2007-FarahmandSA #adaptation #estimation

Manifold-adaptive dimension estimation (AMF, CS, JYA), pp. 265–272.

ICML-2007-Mahadevan #3d #adaptation #learning #multi #using

Adaptive mesh compression in 3D computer graphics using multiscale manifold learning (SM), pp. 585–592.

ICML-2007-NilssonSJ #kernel #reduction #using

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

ICML-2007-WangYHLT

Transductive regression piloted by inter-manifold relations (HW, SY, TSH, JL, XT), pp. 967–974.

KDD-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.

ICPR-v1-2006-CaoH #clustering

Nonlinear Manifold Clustering By Dimensionality (WC, RMH), pp. 920–924.

ICPR-v1-2006-LiuLYAL #coordination #using

Object Tracking Using Globally Coordinated Nonlinear Manifolds (CBL, RSL, MHY, NA, SEL), pp. 844–847.

ICPR-v2-2006-ChenJY #learning #reduction #robust

Robust Nonlinear Dimensionality Reduction for Manifold Learning (HC, GJ, KY), pp. 447–450.

ICPR-v2-2006-WuLZH #learning

A Semi-supervised SVM for Manifold Learning (ZW, ChL, JZ, JH), pp. 490–493.

ICPR-v3-2006-LeeE06a #using

Simultaneous Inference of View and Body Pose using Torus Manifolds (CSL, AME), pp. 489–494.

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

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

ICPR-v3-2006-YouCBLT #analysis #speech

Emotional Speech Analysis on Nonlinear Manifold (MY, CC, JB, JL, JT), pp. 91–94.

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

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

ICML-2005-BreitenbachG #clustering #ranking

Clustering through ranking on manifolds (MB, GZG), pp. 73–80.

MLDM-2005-HaralickH #clustering #linear

Linear Manifold Clustering (RMH, RH), pp. 132–141.

SIGIR-2005-ZhangCL #classification #kernel #multi

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

SAC-2005-MartinB #fault

Estimating manifold dimension by inversion error (SM, AB), pp. 22–26.

ICML-2004-HamLMS #kernel #reduction

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

ICML-2004-LebanonL #classification #multi

Hyperplane margin classifiers on the multinomial manifold (GL, JDL).

ICPR-v3-2004-LuoWH #graph

Graph Manifolds from Spectral Polynomials (BL, RCW, ERH), pp. 402–405.

ICPR-v4-2004-RaytchevYS #estimation #learning

Head Pose Estimation by Nonlinear Manifold Learning (BR, IY, KS), pp. 462–466.

ICPR-v4-2004-WuCW04a #learning #recognition

Face Recognition Based on Discriminative Manifold Learning (YW, KLC, LW), pp. 171–174.

MLDM-2003-HadidP #linear #performance

Efficient Locally Linear Embeddings of Imperfect Manifolds (AH, MP), pp. 188–201.

STOC-2002-AgolHT

3-manifold knot genus is NP-complet (IA, JH, WPT), pp. 761–766.

ICPR-v2-2002-SaalbachHR #representation

Representing Object Manifolds by Parametrized SOMs (AS, GH, HJR), pp. 184–187.

ICPR-v3-2002-ShashuaLA #approach #recognition

Manifold Pursuit: A New Approach to Appearance Based Recognition (AS, AL, SA), pp. 590–594.

MLDM-2001-ImiyaO #linear

PCA-Based Model Selection and Fitting for Linear Manifolds (AI, HO), pp. 278–292.

TOOLS-PACIFIC-1998-HerringK #component #named

Manifolds: Cellular Component Organizations (CH, SMK), pp. 287–298.

SAC-1998-PapadopoulosA #coordination #information management #modelling #process #using

Modelling activities in information systems using the coordination language MANIFOLD (GAP, FA), pp. 185–193.

STOC-1996-DeyG #algorithm

Algorithms for Manifolds and Simplicial Complexes in Euclidean 3-Space (Preliminary Version) (TKD, SG), pp. 398–407.