Keyword : principal component analysis (PCA)

Iteration-Free Bi-Dimensional Empirical Mode Decomposition and Its Application
Taravichet TITIJAROONROJ Kuntpong WORARATPANYA 
Publication:   
Publication Date: 2017/09/01
Vol. E100-D  No. 9 ; pp. 2183-2196
Type of Manuscript:  PAPER
Category: Image Recognition, Computer Vision
Keyword: 
iteration-free computation, locally partial correlation for principal component analysis (LPC-PCA), bi-dimensional empirical mode decomposition (BEMD), bi-intrinsic mode functions (BIMF), iteration-free bi-dimensional empirical mode decomposition (iBEMD), principal component analysis (PCA), 
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Traffic Anomaly Detection Based on Robust Principal Component Analysis Using Periodic Traffic Behavior
Takahiro MATSUDA Tatsuya MORITA Takanori KUDO Tetsuya TAKINE 
Publication:   
Publication Date: 2017/05/01
Vol. E100-B  No. 5 ; pp. 749-761
Type of Manuscript:  PAPER
Category: Network
Keyword: 
principal component analysis (PCA), outlier, robust PCA, anomaly detection, minimum covariance determinant (MCD), 
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The Effect of Distinctiveness in Recognizing Average Face: Human Recognition and Eigenface Based Machine Recognition
Naiwala P. CHANDRASIRI Ryuta SUZUKI Nobuyuki WATANABE Hiroshi YAMADA 
Publication:   IEICE TRANSACTIONS on Information and Systems
Publication Date: 2013/03/01
Vol. E96-D  No. 3 ; pp. 514-522
Type of Manuscript:  Special Section PAPER (Special Section on Face Perception and Recognition)
Category: Face Perception and Recognition
Keyword: 
face recognition, distinctiveness rating, average face, principal component analysis (PCA), eigenface, 
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SSM-HPC: Front View Gait Recognition Using Spherical Space Model with Human Point Clouds
Jegoon RYU Sei-ichiro KAMATA Alireza AHRARY 
Publication:   IEICE TRANSACTIONS on Information and Systems
Publication Date: 2012/07/01
Vol. E95-D  No. 7 ; pp. 1969-1978
Type of Manuscript:  PAPER
Category: Image Recognition, Computer Vision
Keyword: 
gait recognition, human point clouds (HPC), silhouette image, stereo camera, principal component analysis (PCA), linear discriminate analysis (LDA), 
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PCA-Based Detection Algorithm of Moving Target Buried in Clutter in Doppler Frequency Domain
Muhammad WAQAS Shouhei KIDERA Tetsuo KIRIMOTO 
Publication:   IEICE TRANSACTIONS on Communications
Publication Date: 2011/11/01
Vol. E94-B  No. 11 ; pp. 3190-3194
Type of Manuscript:  LETTER
Category: Sensing
Keyword: 
moving target detection, pulse Doppler radar, principal component analysis (PCA), 
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An Unsupervised Adaptive Method to Eigenstructure Analysis of Lower SNR DS Signals
Tianqi ZHANG Chao ZHANG 
Publication:   IEICE TRANSACTIONS on Communications
Publication Date: 2006/06/01
Vol. E89-B  No. 6 ; pp. 1943-1946
Type of Manuscript:  LETTER
Category: Wireless Communication Technologies
Keyword: 
principal component analysis (PCA), neural network (NN), pseudo noise (PN) sequence, direct sequence spread spectrum (DS), 
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A New Texture Feature Based on PCA Pattern Maps and Its Application to Image Retrieval
Xiang-Yan ZENG Yen-Wei CHEN Zensho NAKAO Hanqing LU 
Publication:   IEICE TRANSACTIONS on Information and Systems
Publication Date: 2003/05/01
Vol. E86-D  No. 5 ; pp. 929-936
Type of Manuscript:  PAPER
Category: Pattern Recognition
Keyword: 
texture feature, pattern matching, principal component analysis (PCA), PCA pattern map, image retrieval, 
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Feature Space Design for Statistical Image Recognition with Image Screening
Koichi ARIMURA Norihiro HAGITA 
Publication:   IEICE TRANSACTIONS on Information and Systems
Publication Date: 1998/01/25
Vol. E81-D  No. 1 ; pp. 88-93
Type of Manuscript:  PAPER
Category: Image Processing,Computer Graphics and Pattern Recognition
Keyword: 
statistical image recognition, principal component analysis (PCA), projection pursuit, face image analysis, document image analysis, 
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