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Used together with:
base (12)
recognit (11)
use (9)
imag (8)
robust (7)

Stem pca$ (all stems)

57 papers:

ICMLICML-2015-AsterisKDYC #graph
Stay on path: PCA along graph paths (MA, ATK, AGD, HGY, BC), pp. 1728–1736.
ICMLICML-2015-Shamir #algorithm #convergence #exponential #probability
A Stochastic PCA and SVD Algorithm with an Exponential Convergence Rate (OS), pp. 144–152.
ICMLICML-2015-XinW #adaptation #probability #rank
Pushing the Limits of Affine Rank Minimization by Adapting Probabilistic PCA (BX, DPW), pp. 419–427.
ICMLICML-2015-YangX #algorithm #framework
A Unified Framework for Outlier-Robust PCA-like Algorithms (WY, HX), pp. 484–493.
KDDKDD-2015-QahtanAWZ #data type #detection #framework #multi
A PCA-Based Change Detection Framework for Multidimensional Data Streams: Change Detection in Multidimensional Data Streams (AAQ, BA, SW, XZ), pp. 935–944.
SACSAC-2015-JavedSBJ #feature model #robust
OR-PCA with dynamic feature selection for robust background subtraction (SJ, AS, TB, SKJ), pp. 86–91.
CASECASE-2014-YanLP #dependence #fault #framework #integration #matrix
Fault diagnosis framework for Air Handling Units based on the integration of Dependency matrices and PCA (YY, PBL, KRP), pp. 1103–1108.
STOCSTOC-2014-GoyalVX #composition #fourier #robust
Fourier PCA and robust tensor decomposition (NG, SV, YX), pp. 584–593.
ICMLICML-c2-2014-AnarakiH #memory management #performance #random
Memory and Computation Efficient PCA via Very Sparse Random Projections (FPA, SMH), pp. 1341–1349.
ICMLICML-c2-2014-AsterisPD
Nonnegative Sparse PCA with Provable Guarantees (MA, DSP, AGD), pp. 1728–1736.
ICPRICPR-2014-ZhaiSDJ #multi
Covariance-Based PCA for Multi-size Data (MZ, FS, DD, NJ), pp. 1603–1608.
ICMLICML-c3-2013-PapailiopoulosDK #approximate #rank
Sparse PCA through Low-rank Approximations (DSP, AGD, SK), pp. 747–755.
CIKMCIKM-2012-OrdonezMGTM #performance
Fast PCA computation in a DBMS with aggregate UDFs and LAPACK (CO, NM, CGA, PTT, EM), pp. 2219–2223.
ICMLICML-2012-FengXY #approach #robust
Robust PCA in High-dimension: A Deterministic Approach (JF, HX, SY), p. 237.
ICPRICPR-2012-KunchevaF #detection #feature model #multi #streaming
PCA feature extraction for change detection in multidimensional unlabelled streaming data (LIK, WJF), pp. 1140–1143.
ICPRICPR-2012-MartinezS #monitoring #using
Breath rate monitoring during sleep using near-ir imagery and PCA (MM, RS), pp. 3472–3475.
ICEISICEIS-v1-2011-RamirezC #fault #process #using
Fault Diagnosis of Batch Processes Release using PCA Contribution Plots as Fault Signatures (AWR, JCL), pp. 223–228.
ICMLICML-2011-NakajimaSB #automation #on the
On Bayesian PCA: Automatic Dimensionality Selection and Analytic Solution (SN, MS, SDB), pp. 497–504.
KDDKDD-2011-JiangFH #data type #graph #locality #network
Anomaly localization for network data streams with graph joint sparse PCA (RJ, HF, JH), pp. 886–894.
ICPRICPR-2010-ArgunsahC #approach #classification #human-computer #interface
AR-PCA-HMM Approach for Sensorimotor Task Classification in EEG-based Brain-Computer Interfaces (AOA, ), pp. 113–116.
ICPRICPR-2010-BruneauGP #parametricity #probability
Aggregation of Probabilistic PCA Mixtures with a Variational-Bayes Technique Over Parameters (PB, MG, FP), pp. 702–705.
ICPRICPR-2010-HasanbelliuGP #algorithm #kernel #online #recursion
A Recursive Online Kernel PCA Algorithm (EH, LGSG, JCP), pp. 169–172.
ICPRICPR-2010-NegiK
SubXPCA versus PCA: A Theoretical Investigation (AN, VKK), pp. 4170–4173.
ICPRICPR-2010-ZengM #detection #multi #people #robust
Robust Head-Shoulder Detection by PCA-Based Multilevel HOG-LBP Detector for People Counting (CZ, HM), pp. 2069–2072.
MLDMMLDM-2009-CelepcikayEO #dataset #using
Regional Pattern Discovery in Geo-referenced Datasets Using PCA (OUC, CFE, CO), pp. 719–733.
ICMLICML-2008-SiggB
Expectation-maximization for sparse and non-negative PCA (CDS, JMB), pp. 960–967.
ICPRICPR-2008-AndriyashinPJ #dependence
Illuminant dependence of PCA, NMF and NTF in spectral color imaging (AA, JP, TJ), pp. 1–4.
ICPRICPR-2008-MandalW #recognition #using
Face recognition using curvelet based PCA (TM, QMJW), pp. 1–4.
ICPRICPR-2008-MansouriSHV #adaptation #algorithm #estimation #image
An adaptive-PCA algorithm for reflectance estimation from color images (AM, TS, JYH, YV), pp. 1–4.
ICPRICPR-2008-MeiA #invariant
Affine invariant shape descriptors: The ICA-Fourier descriptor and the PCA-Fourier descriptor (YM, DA), pp. 1–4.
ICMLICML-2007-KuzminW #kernel #matrix #online
Online kernel PCA with entropic matrix updates (DK, MKW), pp. 465–472.
MLDMMLDM-2007-EkinciA #kernel #recognition #representation
Palmprint Recognition by Applying Wavelet Subband Representation and Kernel PCA (ME, MA), pp. 628–642.
MLDMMLDM-2007-EkinciAG #kernel #multi #recognition
Gait Recognition by Applying Multiple Projections and Kernel PCA (ME, MA, EG), pp. 727–741.
ICMLICML-2006-DingZHZ #analysis #component #invariant #named #robust
R1-PCA: rotational invariant L1-norm principal component analysis for robust subspace factorization (CHQD, DZ, XH, HZ), pp. 281–288.
ICPRICPR-v3-2006-BeleznaiFB #multi #using
Multiple Object Tracking Using Local PCA (CB, BF, HB), pp. 79–82.
ICPRICPR-v3-2006-TuIXFH #invariant #probability #recognition
Variational Shift Invariant Probabilistic PCA for Face Recognition (JT, AI, XX, FFL, TSH), pp. 548–551.
ICPRICPR-v3-2006-WuT06a #image #re-engineering
A Regression Model in TensorPCA Subspace for Face Image Super-resolution Reconstruction (JW, MMT), pp. 627–630.
ICPRICPR-v3-2006-XuJJG #2d #recognition
Complete Two-Dimensional PCA for Face Recognition (AX, XJ, YJ, PG), pp. 481–484.
ICPRICPR-v4-2006-MellakhPD #using
Using Signal/Residual Information of Eigenfaces for PCA Face Space Dimensionality Characteristics (MAM, DPD, BD), pp. 574–577.
ICPRICPR-v4-2006-YuB #2d
1D-PCA, 2D-PCA to nD-PCA (HY, MB), pp. 181–184.
SACSAC-2006-PechenizkiyPT #feature model #learning #reduction
The impact of sample reduction on PCA-based feature extraction for supervised learning (MP, SP, AT), pp. 553–558.
ICMLICML-2005-CalinonB #framework #gesture #probability #recognition #using
Recognition and reproduction of gestures using a probabilistic framework combining PCA, ICA and HMM (SC, AB), pp. 105–112.
MLDMMLDM-2005-LiFKL #automation #image #modelling #segmentation #using
Automatic Clinical Image Segmentation Using Pathological Modelling, PCA and SVM (SL, TF, AK, SL), pp. 314–324.
ICPRICPR-v3-2004-LiuCLM #distance #image #kernel #re-engineering
Distance Based Kernel PCA Image Reconstruction (QL, JC, HL, SM), pp. 670–673.
ICPRICPR-v4-2004-CuiWHTS #image #synthesis
An Iris Image Synthesis Method Based on PCA and Super-Resolution (JC, YW, JH, TT, ZS), pp. 471–474.
ICPRICPR-v1-2002-DengT #novel #recognition
A Novel Two-Layer PCA/MDA Scheme for Hand Posture Recognition (JD, HTT), pp. 283–286.
ICPRICPR-v2-2002-MielikainenK #image #integer #multi
Improved Back End for Integer PCA and Wavelet Transforms for Lossless Compression of Multispectral Images (JM, AK), pp. 257–260.
ICPRICPR-v2-2002-PopoviciT
PCA in Autocorrelation Space (VP, JPT), pp. 132–135.
ICPRICPR-v2-2002-ZengCN #image #representation
Image Feature Representation by the Subspace of Nonlinear PCA (XYZ, YWC, ZN), pp. 228–231.
ICPRICPR-v3-2002-ArtacJL #incremental #learning #online #recognition #visual notation
Incremental PCA or On-Line Visual Learning and Recognition (MA, MJ, AL), pp. 781–784.
ICPRICPR-v3-2002-BalciA #estimation #gender #question
PCA for Gender Estimation: Which Eigenvectors Contribute? (KB, VA), pp. 363–366.
ICPRICPR-v3-2002-FortunaSC #comparison #recognition
A Comparison of PCA and ICA for Object Recognition Under Varying Illumination (JF, DCS, DWC), pp. 11–15.
ICPRICPR-v3-2002-VinciarelliB #markov #modelling #recognition #using #word
Offline Cursive Word Recognition using Continuous Density Hidden Markov Models Trained with PCA or ICA Features (AV, SB), pp. 81–84.
MLDMMLDM-2001-ImiyaO #linear
PCA-Based Model Selection and Fitting for Linear Manifolds (AI, HO), pp. 278–292.
ICPRICPR-v2-2000-DuinLH #feature model #linear #multi
Multi-Class Linear Feature Extraction by Nonlinear PCA (RPWD, ML, RHU), pp. 2398–2401.
ICPRICPR-v2-2000-HuangHS #automation #recognition
A New Automatic Quasar Recognition Technique Based on PCA and the Hough Transform (LyH, ZH, FS), pp. 2499–2502.
ICDARICDAR-1997-SongS #algorithm #robust #self
Self-organizing Algorithm of Robust PCA Based on Single-layer NN (WS, SX), p. 851–?.

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