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» Selecting Structural Patterns for Classification
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PR
2008
123views more  PR 2008»
14 years 9 months ago
Extensions of vector quantization for incremental clustering
In this paper, we extend the conventional vector quantization by incorporating a vigilance parameter, which steers the tradeoff between plasticity and stability during incremental...
Edwin Lughofer
MICCAI
2010
Springer
14 years 8 months ago
Generalized Sparse Classifiers for Decoding Cognitive States in fMRI
The high dimensionality of functional magnetic resonance imaging (fMRI) data presents major challenges to fMRI pattern classification. Directly applying standard classifiers often ...
Bernard Ng, Arash Vahdat, Ghassan Hamarneh, Rafeef...
JGAA
2007
135views more  JGAA 2007»
14 years 9 months ago
Challenging Complexity of Maximum Common Subgraph Detection Algorithms: A Performance Analysis of Three Algorithms on a Wide Dat
Graphs are an extremely general and powerful data structure. In pattern recognition and computer vision, graphs are used to represent patterns to be recognized or classified. Det...
Donatello Conte, Pasquale Foggia, Mario Vento
EEE
2005
IEEE
15 years 3 months ago
QoS Aggregation in Web Service Compositions
For the composition of Web services non-functional characteristics are commonly considered criteria for finding and selecting available services. Our work focuses on a mechanism ...
Michael C. Jaeger, Gregor Rojec-Goldmann, Gero M&u...
AI
2005
Springer
15 years 3 months ago
Generating Adaptive Multimedia Presentations Based on a Semiotic Framework
Abstract. We propose a framework for generating adaptive multimedia presentations through the dynamic selection of files from a large data repository. The presentation is generate...
Osama El Demerdash, Sabine Bergler, Leila Kosseim,...