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JIFS
2008
155views more  JIFS 2008»
13 years 7 months ago
Improving supervised learning performance by using fuzzy clustering method to select training data
The crucial issue in many classification applications is how to achieve the best possible classifier with a limited number of labeled data for training. Training data selection is ...
Donghai Guan, Weiwei Yuan, Young-Koo Lee, Andrey G...
ICCV
1999
IEEE
14 years 9 months ago
Classification of Human Body Motion
The classification of human body motion is a difficult problem. In particular, the automatic segmentation of sequences containing more than one class of motion is challenging. An ...
Jens Rittscher, Andrew Blake
CORR
2002
Springer
63views Education» more  CORR 2002»
13 years 7 months ago
Robust Classification with Context-Sensitive Features
This paper addresses the problem of classifying observations when features are context-sensitive, especially when the testing set involves a context that is different from the tra...
Peter D. Turney
IJCNN
2000
IEEE
13 years 11 months ago
Unsupervised Classification of Complex Clusters in Networks of Spiking Neurons
For unsupervised clustering in a network of spiking neurons we develop a temporal encoding of continuously valued data to obtain arbitrary clustering capacity and precision with a...
Sander M. Bohte, Johannes A. La Poutré, Joo...
JUCS
2010
135views more  JUCS 2010»
13 years 6 months ago
Web Context Classification Based on Information Quality Factors
: The fact that the World Wide Web is being used for various purposes also implies that users may have various information quality factors to consider according to their current co...
Jinhyuk Choi, Geehyuk Lee, Junghoon Moon