Sciweavers

13651 search results - page 603 / 2731
» Spectral analysis of data
Sort
View
SDM
2010
SIAM
156views Data Mining» more  SDM 2010»
15 years 8 months ago
Co-selection of Features and Instances for Unsupervised Rare Category Analysis
Rare category analysis is of key importance both in theory and in practice. Previous research work focuses on supervised rare category analysis, such as rare category detection an...
Jingrui He, Jaime G. Carbonell
NIPS
2004
15 years 8 months ago
Efficient Kernel Discriminant Analysis via QR Decomposition
Linear Discriminant Analysis (LDA) is a well-known method for feature extraction and dimension reduction. It has been used widely in many applications such as face recognition. Re...
Tao Xiong, Jieping Ye, Qi Li, Ravi Janardan, Vladi...
AAAI
1996
15 years 8 months ago
Post-Analysis of Learned Rules
Rule induction research implicitly assumes that after producing the rules from a dataset, these rules will be used directly by an expert system or a human user. In real-life appli...
Bing Liu, Wynne Hsu
BIB
2008
88views more  BIB 2008»
15 years 7 months ago
MEGA: A biologist-centric software for evolutionary analysis of DNA and protein sequences
The Molecular Evolutionary Genetics Analysis (MEGA) software is a desktop application designed for comparative analysis of homologous gene sequences either from multigene families...
Sudhir Kumar, Masatoshi Nei, Joel Dudley, Koichiro...
PR
2008
129views more  PR 2008»
15 years 7 months ago
A comparison of generalized linear discriminant analysis algorithms
7 Linear discriminant analysis (LDA) is a dimension reduction method which finds an optimal linear transformation that maximizes the class separability. However, in undersampled p...
Cheong Hee Park, Haesun Park