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» On Generalization by Neural Networks
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IJCNN
2006
IEEE
16 years 20 days ago
Learning to Segment Any Random Vector
— We propose a method that takes observations of a random vector as input, and learns to segment each observation into two disjoint parts. We show how to use the internal coheren...
Aapo Hyvärinen, Jukka Perkiö
ISM
2005
IEEE
91views Multimedia» more  ISM 2005»
16 years 6 days ago
Research on the Discrimination of Pornographic and Bikini Images
Our research extends the general technologies detecting pornographic images to prevent the benign images whose content is approximate with the pornographic ones from being screene...
Yushi Wang, Weiqiang Wang, Wen Gao
ICANN
2005
Springer
16 years 4 days ago
On Variations of Power Iteration
The power iteration is a classical method for computing the eigenvector associated with the largest eigenvalue of a matrix. The subspace iteration is an extension of the power iter...
Seungjin Choi
MLDM
2001
Springer
15 years 11 months ago
Local Learning Framework for Recognition of Lowercase Handwritten Characters
Abstract. This paper proposes a general local learning framework to effectively alleviate the complexities of classifier design by means of “divide and conquer” principle and ...
Jian-xiong Dong, Adam Krzyzak, Ching Y. Suen
ISIWI
2000
15 years 8 months ago
Automatic Document Classification - A thorough Evaluation of various Methods
(Automatic) document classification is generally defined as content-based assignment of one or more predefined categories to documents. Usually, machine learning, statistical patt...
Christoph Goller, J. Löning, T. Will, W. Wolf...