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» Genetic Algorithms for Component Analysis
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132
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ICANN
2007
Springer
15 years 7 months ago
Fuzzy Classifiers Based on Kernel Discriminant Analysis
In this paper, we discuss fuzzy classifiers based on Kernel Discriminant Analysis (KDA) for two-class problems. In our method, first we employ KDA to the given training data and ca...
Ryota Hosokawa, Shigeo Abe
127
Voted
DKE
2007
116views more  DKE 2007»
15 years 3 months ago
A concurrent rule scheduling algorithm for active rules
The use of rules in a distributed environment creates new challenges for the development of active rule execution models. In particular, since a single event can trigger multiple ...
Ying Jin, Susan Darling Urban, Suzanne W. Dietrich
135
Voted
NPL
2006
130views more  NPL 2006»
15 years 3 months ago
A Fast Feature-based Dimension Reduction Algorithm for Kernel Classifiers
This paper presents a novel dimension reduction algorithm for kernel based classification. In the feature space, the proposed algorithm maximizes the ratio of the squared between-c...
Senjian An, Wanquan Liu, Svetha Venkatesh, Ronny T...
124
Voted
ICIP
2009
IEEE
16 years 4 months ago
Sparsity And Morphological Diversity For Hyperspectral Data Analysis
Recently morphological diversity and sparsity have emerged as new and effective sources of diversity for Blind Source Separation. Based on these new concepts, novel methods such a...
141
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IPPS
2000
IEEE
15 years 8 months ago
A Requirements Analysis for Parallel KDD Systems
Abstract. The current generation of data mining tools have limited capacity and performance, since these tools tend to be sequential. This paper explores a migration path out of th...
William Maniatty, Mohammed Javeed Zaki