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129
Voted
ICIP
2002
IEEE
16 years 5 months ago
Hybrid and parallel face classifier based on artificial neural networks and principal component analysis
We present a hybrid and parallel system based on artificial neural networks for a face invariant classifier and general pattern recognition problems. A set of face features is ext...
Peter V. Bazanov, Tae-Kyun Kim, Seok-Cheol Kee, Sa...
130
Voted
CVPR
2008
IEEE
15 years 10 months ago
Unified Principal Component Analysis with generalized Covariance Matrix for face recognition
Recently, 2DPCA and its variants have attracted much attention in face recognition area. In this paper, some efforts are made to discover the underlying fundaments of these method...
Shiguang Shan, Bo Cao, Yu Su, Laiyun Qing, Xilin C...
144
Voted
WACV
2008
IEEE
15 years 10 months ago
Object Categorization Based on Kernel Principal Component Analysis of Visual Words
In recent years, many researchers are studying object categorization problem. It is reported that bag of keypoints approach which is based on local features without topological in...
Kazuhiro Hotta
131
Voted
PCM
2009
Springer
130views Multimedia» more  PCM 2009»
15 years 8 months ago
Image Quality Assessment Using Spatial Frequency Component
Image quality assessment (IQA) is a crucial technique in perceptual image/video coding, because it is not only a ruler for performance evaluation of coding algorithms but also a me...
Guangyao Cao, Luhong Liang, Siwei Ma, Debin Zhao
114
Voted
ICSE
2000
IEEE-ACM
15 years 7 months ago
Multiple mass-market applications as components
Truly successful models for component-based software development continue to prove elusive. One of the few is the use of operating system, database and similar programs in many sy...
David Coppit, Kevin J. Sullivan