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BMCBI
2006
117views more  BMCBI 2006»
14 years 10 months ago
SigFlux: A novel network feature to evaluate the importance of proteins in signal transduction networks
Background: Measuring each protein's importance in signaling networks helps to identify the crucial proteins in a cellular process, find the fragile portion of the biology sy...
Wei Liu, Dong Li, Jiyang Zhang, Yunping Zhu, Fuchu...
BMCBI
2005
126views more  BMCBI 2005»
14 years 10 months ago
GANN: Genetic algorithm neural networks for the detection of conserved combinations of features in DNA
Background: The multitude of motif detection algorithms developed to date have largely focused on the detection of patterns in primary sequence. Since sequence-dependent DNA struc...
Robert G. Beiko, Robert L. Charlebois
SAC
2004
ACM
15 years 3 months ago
Time-frequency feature detection for time-course microarray data
Gene clustering based on microarray data provides useful functional information to the working biologists. Many current gene-clustering algorithms rely on Euclidean-based distance...
Jiawu Feng, Paolo Emilio Barbano, Bud Mishra
CVPR
2009
IEEE
1096views Computer Vision» more  CVPR 2009»
16 years 4 months ago
How far can you get with a modern face recognition test set using only simple features?
In recent years, large databases of natural images have become increasingly popular in the evaluation of face and object recognition algorithms. However, Pinto et al. previously ...
Nicolas Pinto, James J. DiCarlo, David D. Cox
AUSAI
2005
Springer
15 years 3 months ago
New Feature Extraction Approaches for Face Recognition
All the traditional PCA-based and LDA-based methods are based on the analysis of vectors. So, it is difficult to evaluate the covariance matrices in such a high-dimensional vector ...
Vo Dinh Minh Nhat, Sungyoung Lee