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ICIP
2005
IEEE
14 years 9 months ago
Nonlinear dimensionality reduction for classification using kernel weighted subspace method
We study the use of kernel subspace methods that learn low-dimensional subspace representations for classification tasks. In particular, we propose a new method called kernel weigh...
Guang Dai, Dit-Yan Yeung
DASFAA
2005
IEEE
166views Database» more  DASFAA 2005»
14 years 1 months ago
NNF: An Effective Approach in Medicine Paring Analysis of Traditional Chinese Medicine Prescriptions
Medicine Paring Analysis is one of the most important tasks in the research of Traditional Chinese Medicine Prescriptions. The most essential and difficult step is to mine associat...
Chuan Li, Changjie Tang, Jing Peng, Jianjun Hu, Yo...
CNIS
2006
13 years 9 months ago
Towards effective packet classification
A variety of network security services, such as access control in firewalls and protocol analysis in intrusion detection systems, require the discrimination of packets based on th...
Yaxuan Qi, Jun Li
IEEEMM
2007
146views more  IEEEMM 2007»
13 years 7 months ago
Learning Microarray Gene Expression Data by Hybrid Discriminant Analysis
— Microarray technology offers a high throughput means to study expression networks and gene regulatory networks in cells. The intrinsic nature of high dimensionality and small s...
Yijuan Lu, Qi Tian, Maribel Sanchez, Jennifer L. N...
BMCBI
2010
142views more  BMCBI 2010»
13 years 7 months ago
Classification of protein sequences by means of irredundant patterns
Background: The classification of protein sequences using string algorithms provides valuable insights for protein function prediction. Several methods, based on a variety of diff...
Matteo Comin, Davide Verzotto