167 search results - page 12 / 34 » Supervised Feature Extraction Using Hilbert-Schmidt Norms |
ICIP
2007
IEEE
16 years 1 months ago
2007
IEEE
In this paper, we describe a new approach for color texture classification by use of Haralick features extracted from color co-occurrence matrices. As the color of each pixel can ...
118
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TAL
2010
Springer
14 years 10 months ago
2010
Springer
Abstract. Most common feature selection techniques for document categorization are supervised and require lots of training data in order to accurately capture the descriptive and d...
CORR
2010
Springer
14 years 11 months ago
2010
Springer
This paper proposes an efficient technique for partitioning large biometric database during identification. In this technique feature vector which comprises of global and local de...
ICIP
2001
IEEE
16 years 1 months ago
2001
IEEE
In this paper, we present a framework for clustering and classifying cheque images according to their payee-line content. The features used in the clustering and classificationpro...
118
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ICMLA
2009
14 years 9 months ago
2009
One important problem in machine learning is how to extract knowledge from prior experience, then transfer and apply this knowledge in new learning tasks. To address this problem, ...