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ICPR
2008
IEEE
15 years 9 months ago
Ranking the local invariant features for the robust visual saliencies
Local invariant feature based methods have been proven to be effective in computer vision for object recognition and learning. But for an image, the number of points detected and ...
Shengping Xia, Peng Ren, Edwin R. Hancock
ICPR
2008
IEEE
15 years 9 months ago
Impact of feature correlations on separation between bivariate normal distributions
The impact of feature correlations on class separation has received limited attention from researchers. Previous reports treat the problem from the viewpoint of multi-classifier ...
Krzysztof Kryszczuk, Andrzej Drygajlo
IJCNN
2008
IEEE
15 years 9 months ago
Sparse support vector machines trained in the reduced empirical feature space
— We discuss sparse support vector machines (sparse SVMs) trained in the reduced empirical feature space. Namely, we select the linearly independent training data by the Cholesky...
Kazuki Iwamura, Shigeo Abe
SSPR
2004
Springer
15 years 8 months ago
Feature Shaving for Spectroscopic Data
High-resolution spectroscopy is a powerful industrial tool. The number of features (wavelengths) in these data sets varies from several hundreds up to a thousand. Relevant feature ...
Serguei Verzakov, Pavel Paclík, Robert P. W...
MVA
2002
261views Computer Vision» more  MVA 2002»
15 years 2 months ago
Detecting Faces in Color Images Using an Adaptive Color Model and Salient Features
Face detection has many interesting applications such as a face recognition system, a surveillance system, and videolimage indexing system. In this paper, we propose a new method ...
Hang-Bong Kang