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» Genetic Algorithms for Component Analysis
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143
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ICML
2007
IEEE
16 years 4 months ago
Dimensionality reduction and generalization
In this paper we investigate the regularization property of Kernel Principal Component Analysis (KPCA), by studying its application as a preprocessing step to supervised learning ...
Sofia Mosci, Lorenzo Rosasco, Alessandro Verri
132
Voted
MVA
1992
124views Computer Vision» more  MVA 1992»
15 years 4 months ago
Separation of Textual and Non-textual Information within Mixed-Mode Documents
An increasing number of comfortable publishing systems nowadays leads to documents containing more than just textual information. Graphics and images are combined with text and of...
Frank Hönes, Rainer Zimmer
148
Voted
ECCV
2008
Springer
15 years 4 months ago
Discriminative Locality Alignment
—This paper presents a fast part-based subspace selection algorithm, termed the binary sparse nonnegative matrix factorization (B-SNMF). Both the training process and the testing...
Tianhao Zhang, Dacheng Tao, Jie Yang
137
Voted
ICASSP
2011
IEEE
14 years 7 months ago
Adaptive harmonic time-frequency decomposition of audio using shift-invariant PLCA
This paper presents a new algorithm based on shift-invariant probabilistic latent component analysis that analyzes harmonic structures in an audio signal. Each note in a constant-...
Benoit Fuentes, Roland Badeau, Gaël Richard
126
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SERP
2003
15 years 5 months ago
Automating Feature-Oriented Domain Analysis
Feature modeling is commonly used to capture the commonalities and variabilities of systems in a domain during Domain Analysis. The output of feature modeling will be some reusabl...
Fei Cao, Barrett R. Bryant, Carol C. Burt, Zhishen...