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NPL
2006
90views more  NPL 2006»
15 years 6 months ago
Hierarchical Incremental Class Learning with Reduced Pattern Training
Hierarchical Incremental Class Learning (HICL) is a new task decomposition method that addresses the pattern classification problem. HICL is proven to be a good classifier but clos...
Sheng Uei Guan, Chunyu Bao, Ru-Tian Sun
MCS
2002
Springer
15 years 5 months ago
On Combining One-Class Classifiers for Image Database Retrieval
Abstract. In image retrieval systems, images can be represented by single feature vectors or by clouds of points. A cloud of points offers a more flexible description but suffers f...
Carmen Lai, David M. J. Tax, Robert P. W. Duin, El...
PR
2007
139views more  PR 2007»
15 years 5 months ago
Learning the kernel matrix by maximizing a KFD-based class separability criterion
The advantage of a kernel method often depends critically on a proper choice of the kernel function. A promising approach is to learn the kernel from data automatically. In this p...
Dit-Yan Yeung, Hong Chang, Guang Dai
ICPR
2004
IEEE
16 years 7 months ago
Nearest Intra-Class Space Classifier for Face Recognition
In this paper, we propose a novel classification method, called nearest intra-class space (NICS), for face recognition. In our method, the distribution of face patterns of each pe...
Stan Z. Li, Tieniu Tan, Wei Liu, Yunhong Wang
BIOTECHNO
2008
IEEE
16 years 20 days ago
Grouping Levels of Exposure with Same Observable Effects before Class Prediction in Toxicogenomics
—Gene expression profiling in toxicogenomics is often used to find molecular signature of toxicants. The range of doses chosen in toxicogenomics studies does not always represe...
Vincent Guillemot, Cathy Philippe, Arthur Tenenhau...