Stem tensor$ (all stems)

107 papers:

STOC-2015-BarakKS #composition #learning #taxonomy

Dictionary Learning and Tensor Decomposition via the Sum-of-Squares Method (BB, JAK, DS), pp. 143–151.

ICML-2015-GhoshdastidarD #clustering

A Provable Generalized Tensor Spectral Method for Uniform Hypergraph Partitioning (DG, AD), pp. 400–409.

ICML-2015-Suzuki #convergence

Convergence rate of Bayesian tensor estimator and its minimax optimality (TS), pp. 1273–1282.

ICML-2015-TangS #approach #composition

Guaranteed Tensor Decomposition: A Moment Approach (GT, PS), pp. 1491–1500.

ICML-2015-YuCL #learning #multi #online #rank

Accelerated Online Low Rank Tensor Learning for Multivariate Spatiotemporal Streams (RY, DC, YL), pp. 238–247.

KDD-2015-ScheinPBW #multi

Bayesian Poisson Tensor Factorization for Inferring Multilateral Relations from Sparse Dyadic Event Counts (AS, JWP, DMB, HMW), pp. 1045–1054.

KDD-2015-WangCGDKCMS #data analysis #health #named

Rubik: Knowledge Guided Tensor Factorization and Completion for Health Data Analytics (YW, RC, JG, JCD, ANK, YC, BAM, JS), pp. 1265–1274.

KDD-2015-WangLSH #approach #composition #interactive #recursion #topic #towards

Towards Interactive Construction of Topical Hierarchy: A Recursive Tensor Decomposition Approach (CW, XL, YS, JH), pp. 1225–1234.

SIGIR-2015-YaoSQWSH #recommendation #social #using

Context-aware Point-of-Interest Recommendation Using Tensor Factorization with Social Regularization (LY, QZS, YQ, XW, AS, QH), pp. 1007–1010.

STOC-2014-BhaskaraCMV #analysis

Smoothed analysis of tensor decompositions (AB, MC, AM, AV), pp. 594–603.

STOC-2014-GoyalVX #composition #fourier #robust

Fourier PCA and robust tensor decomposition (NG, SV, YX), pp. 584–593.

CIKM-2014-KimC #array #performance

Efficient Static and Dynamic In-Database Tensor Decompositions on Chunk-Based Array Stores (MK, KSC), pp. 969–978.

CIKM-2014-KimC14a #named #query

TensorDB: In-Database Tensor Manipulation with Tensor-Relational Query Plans (MK, KSC), pp. 2039–2041.

CIKM-2014-LiHCS #composition #personalisation

Focusing Decomposition Accuracy by Personalizing Tensor Decomposition (PTD) (XL, SH, KSC, MLS), pp. 689–698.

ICML-c2-2014-MuHWG #bound

Square Deal: Lower Bounds and Improved Relaxations for Tensor Recovery (CM, BH, JW, DG), pp. 73–81.

ICML-c2-2014-NovikovROV

Putting MRFs on a Tensor Train (AN, AR, AO, DV), pp. 811–819.

ICML-c2-2014-RaiWGCDC #composition #multi #rank #scalability

Scalable Bayesian Low-Rank Decomposition of Incomplete Multiway Tensors (PR, YW, SG, GC, DBD, LC), pp. 1800–1808.

ICPR-2014-ChevallierCA #estimation #image #metric #orthogonal #using

Computing Histogram of Tensor Images Using Orthogonal Series Density Estimation and Riemannian Metrics (EC, AC, JA), pp. 900–905.

ICPR-2014-KuangOA #estimation #using

Revisiting Trifocal Tensor Estimation Using Lines (YK, MO, KÅ), pp. 2419–2423.

ICPR-2014-MiyanS #consistency #image #using

Finding Corresponding Patches in Texture Images Using Tensor Consistency Check (SBM, JS), pp. 4021–4026.

ICPR-2014-MorenoS #simulation

Volume-Based Fabric Tensors through Lattice-Boltzmann Simulations (RM, ÖS), pp. 3179–3184.

ICPR-2014-WangYLZF #independence #recognition #using

Micro-expression Recognition Using Dynamic Textures on Tensor Independent Color Space (SW, WJY, XL, GZ, XF), pp. 4678–4683.

ICPR-2014-YuanT #algorithm #classification #image #multi

Multi-scale Tensor l1-Based Algorithm for Hyperspectral Image Classification (HY, YYT), pp. 1383–1388.

KDD-2014-FangP #algorithm #linear #performance

Fast DTT: a near linear algorithm for decomposing a tensor into factor tensors (XF, RP), pp. 967–976.

KDD-2014-HoGS #health #named

Marble: high-throughput phenotyping from electronic health records via sparse nonnegative tensor factorization (JCH, JG, JS), pp. 115–124.

RecSys-2014-RafailidisN #modelling

Modeling the dynamics of user preferences in coupled tensor factorization (DR, AN), pp. 321–324.

SIGIR-2014-Ifada #modelling #personalisation #recommendation #topic #using

A tag-based personalized item recommendation system using tensor modeling and topic model approaches (NI), p. 1280.

ICML-c3-2013-IshtevaPS #order #using

Unfolding Latent Tree Structures using 4th Order Tensors (MI, HP, LS), pp. 316–324.

ICML-c3-2013-SongIPXP #composition #modelling #visual notation

Hierarchical Tensor Decomposition of Latent Tree Graphical Models (LS, MI, APP, EPX, HP), pp. 334–342.

ICML-c3-2013-TangSH

Tensor Analyzers (YT, RS, GEH), pp. 163–171.

ICML-c3-2013-YoshiiTMG #infinity

Infinite Positive Semidefinite Tensor Factorization for Source Separation of Mixture Signals (KY, RT, DM, MG), pp. 576–584.

KDD-2013-DavidsonGCW #analysis #network

Network discovery via constrained tensor analysis of fMRI data (IND, SG, OTC, PBW), pp. 194–202.

STOC-2012-ForbesS #on the #rank #testing

On identity testing of tensors, low-rank recovery and compressed sensing (MAF, AS), pp. 163–172.

CIKM-2012-KimC #approximate #composition #dependence #functional #performance

Decomposition-by-normalization (DBN): leveraging approximate functional dependencies for efficient tensor decomposition (MK, KSC), pp. 355–364.

CIKM-2012-LiuCBLR #graph #mining

Utilizing common substructures to speedup tensor factorization for mining dynamic graphs (WL, JC, JB, CL, KR), pp. 435–444.

CIKM-2012-SymondsBST #encoding #semantics

A tensor encoding model for semantic processing (MS, PDB, LS, IT), pp. 2267–2270.

ICPR-2012-DuanWLDC #learning #named

K-CPD: Learning of overcomplete dictionaries for tensor sparse coding (GD, HW, ZL, JD, YWC), pp. 493–496.

ICPR-2012-IshidaKKN #generative #recognition #using

Road marking recognition for map generation using sparse tensor voting (HI, KK, YK, TN), pp. 1132–1135.

ICPR-2012-LiLAK #recognition #robust

Tensor based robust color face recognition (BYLL, WL, SA, AK), pp. 1719–1722.

ICPR-2012-PerezMMSV #recognition #using

Combining gradient histograms using orientation tensors for human action recognition (EdAP, VFM, LMM, DOS, MBV), pp. 3460–3463.

ICPR-2012-WangSCPZ #analysis #component #feature model #named

STPCA: Sparse tensor Principal Component Analysis for feature extraction (SW, MS, YHC, EPP, CZ), pp. 2278–2281.

ICPR-2012-ZillyRMWSK #multi #using

Multi-camera rectification using linearized trifocal tensor (FZ, CR, MM, WW, TS, PK), pp. 2727–2731.

KDD-2012-KangPHF #algorithm #analysis #named #scalability

GigaTensor: scaling tensor analysis up by 100 times — algorithms and discoveries (UK, EEP, AH, CF), pp. 316–324.

SAC-2012-DrumondRS #information management #knowledge base #predict #rdf

Predicting RDF triples in incomplete knowledge bases with tensor factorization (LD, SR, LST), pp. 326–331.

SAC-2012-KuttyCN #modelling #recommendation #using

A people-to-people recommendation system using tensor space models (SK, LC, RN), pp. 187–192.

STOC-2011-BurgisserI #complexity #geometry #rank

Geometric complexity theory and tensor rank (PB, CI), pp. 509–518.

CIKM-2011-KimC #algebra #approximate #composition #framework

Approximate tensor decomposition within a tensor-relational algebraic framework (MK, KSC), pp. 1737–1742.

CIKM-2011-SchifanellaCS #composition #multi #performance

Fast metadata-driven multiresolution tensor decomposition (CS, KSC, MLS), pp. 1275–1284.

CIKM-2011-VirgilioM #calculus #data analysis #using

RFID data analysis using tensor calculus for supply chain management (RDV, FM), pp. 1743–1748.

CC-2011-MaKA #memory management #multi

Practical Loop Transformations for Tensor Contraction Expressions on Multi-level Memory Hierarchies (WM, SK, GA), pp. 266–285.

LICS-2011-GoncharovS #monad

Powermonads and Tensors of Unranked Effects (SG, LS), pp. 227–236.

STOC-2010-Kannan #matrix

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

STOC-2010-Raz #bound

Tensor-rank and lower bounds for arithmetic formulas (RR), pp. 659–666.

CIKM-2010-ChiZ #framework #information management #named

FacetCube: a framework of incorporating prior knowledge into non-negative tensor factorization (YC, SZ), pp. 569–578.

ICPR-2010-DinhPLL #clustering

Tensor Voting Based Color Clustering (TND, JP, CL, GL), pp. 597–600.

ICPR-2010-DonoserKB #analysis

Object Tracking by Structure Tensor Analysis (MD, SK, HB), pp. 2600–2603.

ICPR-2010-KotsiaP #multi

Multiplicative Update Rules for Multilinear Support Tensor Machines (IK, IP), pp. 33–36.

ICPR-2010-KrauszB #recognition #using

Action Recognition in Videos Using Nonnegative Tensor Factorization (BK, CB), pp. 1763–1766.

ICPR-2010-Martin-HerreroF #classification #question

Tensor-Driven Hyperspectral Denoising: A Strong Link for Classification Chains? (JMH, MFA), pp. 2820–2823.

ICPR-2010-MorenoGP #image #robust #segmentation

Robust Color Image Segmentation through Tensor Voting (RM, MAG, DP), pp. 3372–3375.

ICPR-2010-SemenovichS #higher-order #performance

Tensor Power Method for Efficient MAP Inference in Higher-order MRFs (DS, AS), pp. 734–737.

RecSys-2010-KaratzoglouABO #collaboration #multi #recommendation

Multiverse recommendation: n-dimensional tensor factorization for context-aware collaborative filtering (AK, XA, LB, NO), pp. 79–86.

SIGIR-2010-ZhengLLZ #composition #recommendation

Flickr group recommendation based on tensor decomposition (NZ, QL, SL, LZ), pp. 737–738.

ICDAR-2009-DriraLE #documentation #image #process #recognition

Document Images Restoration by a New Tensor Based Diffusion Process: Application to the Recognition of Old Printed Documents (FD, FL, HE), pp. 321–325.

STOC-2009-GopalanGR

List decoding tensor products and interleaved codes (PG, VG, PR), pp. 13–22.

KDD-2009-RendleMNS #learning #ranking #recommendation

Learning optimal ranking with tensor factorization for tag recommendation (SR, LBM, AN, LST), pp. 727–736.

SIGIR-2009-Peng #analysis #equivalence #probability #semantics

Equivalence between nonnegative tensor factorization and tensorial probabilistic latent semantic analysis (WP), pp. 668–669.

ICPR-2008-TanHL #orthogonal #recognition

Face recognition based on LBP and orthogonal rank-one tensor projections (NT, LH, CL), pp. 1–4.

ICPR-2008-TianFG #composition #multi #recognition

Multi-view face recognition by nonlinear tensor decomposition (CT, GF, XG), pp. 1–4.

ICPR-2008-WangW #algorithm #estimation

A factorization algorithm for trifocal tensor estimation (LW, FW), pp. 1–4.

KDD-2008-HuangDLL #clustering #equivalence #higher-order

Simultaneous tensor subspace selection and clustering: the equivalence of high order svd and k-means clustering (HH, CHQD, DL, TL), pp. 327–335.

RecSys-2008-SymeonidisNM #recommendation #reduction

Tag recommendations based on tensor dimensionality reduction (PS, AN, YM), pp. 43–50.

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

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

STOC-2007-HavivR #polynomial #problem

Tensor-based hardness of the shortest vector problem to within almost polynomial factors (IH, OR), pp. 469–477.

ICPR-v1-2006-YouZCWT #representation #using

Face Representation By Using Non-tensor Product Wavelets (XY, DZ, QC, PSPW, YYT), pp. 503–506.

ICPR-v1-2006-ZhangSL #multi #segmentation #using

Motion Segmentation by Multibody Trifocal Tensor Using Line Correspondence (JZ, FS, YL), pp. 599–602.

ICPR-v2-2006-LuPV #analysis #component #multi #recognition

Multilinear Principal Component Analysis of Tensor Objects for Recognition (HL, KNP, ANV), pp. 776–779.

ICPR-v3-2006-AssabieB #recognition #using

Ethiopic Character Recognition Using Direction Field Tensor (YA, JB), pp. 284–287.

ICPR-v3-2006-MinM #gpu

Tensor Voting Accelerated by Graphics Processing Units (GPU) (CM, GGM), pp. 1103–1106.

ICPR-v3-2006-TaiTT #2d #image #multi

Simultaneous Image Denoising and Compression by Multiscale 2D Tensor Voting (YWT, WST, CKT), pp. 818–821.

ICPR-v3-2006-VlietF #analysis #clustering #multi

Multi-orientation analysis by decomposing the structure tensor and clustering (LJvV, FGAF), pp. 856–860.

ICPR-v3-2006-WangG #analysis #recognition

Tensor Discriminant Analysis for View-based Object Recognition (YW, SG), pp. 33–36.

ICPR-v3-2006-WuT06a #image #re-engineering

A Regression Model in TensorPCA Subspace for Face Image Super-resolution Reconstruction (JW, MMT), pp. 627–630.

KDD-2006-MahoneyMD

Tensor-CUR decompositions for tensor-based data (MWM, MM, PD), pp. 327–336.

KDD-2006-SunTF #analysis #graph

Beyond streams and graphs: dynamic tensor analysis (JS, DT, CF), pp. 374–383.

SIGIR-2006-CaiHH #analysis #documentation

Tensor space model for document analysis (DC, XH, JH), pp. 625–626.

STOC-2005-Shi #communication #complexity #metric #quantum

Tensor norms and the classical communication complexity of nonlocal quantum measurement (YS), pp. 460–467.

STOC-2005-VegaKKV #approximate #composition #constraints #problem

Tensor decomposition and approximation schemes for constraint satisfaction problems (WFdlV, MK, RK, SV), pp. 747–754.

ICALP-2005-FordG #bound #communication #complexity #multi

Hadamard Tensors and Lower Bounds on Multiparty Communication Complexity (JF, AG), pp. 1163–1175.

ICML-2005-ShashuaH #statistics

Non-negative tensor factorization with applications to statistics and computer vision (AS, TH), pp. 792–799.

PPoPP-2005-GaoSLRLBS #modelling #optimisation #parallel #performance

Performance modeling and optimization of parallel out-of-core tensor contractions (XG, SKS, CCL, JR, QL, GB, PS), pp. 266–276.

ICPR-v1-2004-WangA #composition #multi #representation #using

Compact Representation of Multidimensional Data Using Tensor Rank-One Decomposition (HW, NA), pp. 44–47.

ICPR-v3-2004-WangLL #analysis #towards

Tensor Voting Toward Feature Space Analysis (JW, HL, QL), pp. 462–465.

ICPR-v1-2002-LiuCR #adaptation #estimation #parametricity #using

Accurate Dense Optical Flow Estimation Using Adaptive Structure Tensors and a Parametric Model (HL, RC, AR), pp. 291–294.

ICPR-v2-2002-MassadBM #image

Perceptual Grouping in Grey-Level Images by Combination of Gabor Filtering and Tensor Voting (AM, MB, BM), pp. 677–680.

ICPR-v3-2002-MordohaiM #multi #using

Perceptual Grouping for Multiple View Stereo Using Tensor Voting (PM, GGM), pp. 639–644.

ICPR-v4-2002-HuY #algorithm #estimation #robust #search-based #using

Robust Estimation of Trifocal Tensor Using Messy Genetic Algorithm (MH, BY), pp. 347–350.

ICPR-v4-2002-KangCM #estimation #image #robust #using

Robust Affine Motion Estimation in Joint Image Space Using Tensor Voting (EYEK, IC, GGM), pp. 256–259.

ICPR-v1-2000-Farneback #estimation #modelling #parametricity #performance #using

Fast and Accurate Motion Estimation Using Orientation Tensors and Parametric Motion Models (GF), pp. 1135–1139.

ICPR-v1-2000-WolfSW #3d #set

Join Tensors: On 3D-to-3D Alignment of Dynamic Sets (LW, AS, YW), pp. 1388–1391.

ICPR-v3-2000-KornprobstM #2d #approach

A 2D + t Tensor Voting Based Approach for Tracking (PK, GGM), pp. 7104–7107.

ICPR-v3-2000-LuTH #detection #estimation #novel #robust

A Novel Method for Camera Planar Motion Detection and Robust Estimation of the 1D Trifocal Tensor (LL, HTT, ZH), pp. 3815–3818.

ESOP-J-1992-NielsonN94 #analysis

The Tensor Product in Wadler’s Analysis of Lists (FN, HRN), pp. 327–354.

STOC-1993-PudlakR

Modified ranks of tensors and the size of circuits (PP, VR), pp. 523–531.

ESOP-1992-NielsonN #analysis

The Tensor Product in Wadler’s Analysis of Lists (FN, HRN), pp. 351–370.

ICALP-1989-Hastad #rank

Tensor Rank is NP-Complete (JH), pp. 451–460.

ICALP-1980-Bini #approximate #rank

Border Rank of a p×q×2 Tensor and the Optimal Approximation of a Pair of Bilinear Forms (DB), pp. 98–108.