5131 search results - page 76 / 1027 » Heterogeneous Component Analysis |
KDD
2006
ACM
14 years 9 months ago
2006
ACM
Principal component analysis (PCA) has been extensively applied in data mining, pattern recognition and information retrieval for unsupervised dimensionality reduction. When label...
ECCV
2004
Springer
14 years 10 months ago
2004
Springer
Abstract. We present a method for learning feature descriptors using multiple images, motivated by the problems of mobile robot navigation and localization. The technique uses the ...
ICIP
2003
IEEE
14 years 10 months ago
2003
IEEE
This paper exploits independent component analysis (ICA) to obtain transform-based compression schemes adapted to specific image classes. This adaptation results from the data-dep...
ICPR
2006
IEEE
14 years 10 months ago
2006
IEEE
In this paper, a multilinear formulation of the popular Principal Component Analysis (PCA) is proposed, named as multilinear PCA (MPCA), where the input can be not only vectors, b...
ICPR
2004
IEEE
14 years 10 months ago
2004
IEEE
In this paper, Principal Component Analysis (PCA) is applied to the problem of Online Handwritten Character Recognition in the Tamil script. The input is a temporally ordered sequ...