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NIPS
2008
15 years 7 months ago
Robust Kernel Principal Component Analysis
Kernel Principal Component Analysis (KPCA) is a popular generalization of linear PCA that allows non-linear feature extraction. In KPCA, data in the input space is mapped to highe...
Minh Hoai Nguyen, Fernando De la Torre
OTM
2005
Springer
15 years 11 months ago
Web Image Semantic Clustering
This paper provides a novel Web image clustering methodology based on their associated texts. In our approach, the semantics of Web images are firstly represented into vectors of t...
Zhiguo Gong, Leong Hou U, Chan Wa Cheang
SPLC
2007
15 years 7 months ago
Tailoring Infrastructure Software Product Lines by Static Application Analysis
Besides ordinary applications, also infrastructure software such as operating systems or database management systems is being developed as a software product line. With proper too...
Horst Schirmeier, Olaf Spinczyk
ICB
2007
Springer
183views Biometrics» more  ICB 2007»
15 years 8 months ago
Factorial Hidden Markov Models for Gait Recognition
Gait recognition is an effective approach for human identification at a distance. During the last decade, the theory of hidden Markov models (HMMs) has been used successfully in th...
Changhong Chen, Jimin Liang, Haihong Hu, Licheng J...
ECCV
2006
Springer
16 years 8 months ago
Inter-modality Face Recognition
Recently, the wide deployment of practical face recognition systems gives rise to the emergence of the inter-modality face recognition problem. In this problem, the face images in ...
Dahua Lin, Xiaoou Tang