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KDD
2007
ACM
197views Data Mining» more  KDD 2007»
16 years 1 months ago
Learning the kernel matrix in discriminant analysis via quadratically constrained quadratic programming
The kernel function plays a central role in kernel methods. In this paper, we consider the automated learning of the kernel matrix over a convex combination of pre-specified kerne...
Jieping Ye, Shuiwang Ji, Jianhui Chen
KDD
2007
ACM
165views Data Mining» more  KDD 2007»
16 years 1 months ago
Finding low-entropy sets and trees from binary data
The discovery of subsets with special properties from binary data has been one of the key themes in pattern discovery. Pattern classes such as frequent itemsets stress the co-occu...
Eino Hinkkanen, Hannes Heikinheimo, Heikki Mannila...
101
Voted
KDD
2003
ACM
113views Data Mining» more  KDD 2003»
16 years 1 months ago
Indexing multi-dimensional time-series with support for multiple distance measures
Although most time-series data mining research has concentrated on providing solutions for a single distance function, in this work we motivate the need for a single index structu...
Michail Vlachos, Marios Hadjieleftheriou, Dimitrio...
KDD
2002
ACM
194views Data Mining» more  KDD 2002»
16 years 1 months ago
Scale Space Exploration For Mining Image Information Content
Images are highly complex multidimensional signals, with rich and complicated information content. For this reason they are difficult to analyze through a unique automated approach...
Mariana Ciucu, Patrick Héas, Mihai Datcu, J...
145
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VLSID
2001
IEEE
200views VLSI» more  VLSID 2001»
16 years 1 months ago
Evaluation of the Traffic-Performance Characteristics of System-on-Chip Communication Architectures
The emergence of several communication architectures for System-on-Chips provides designers with a variety of design alternatives. In addition, the need to customize the system ar...
Kanishka Lahiri, Sujit Dey, Anand Raghunathan
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