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» Learning the Relative Importance of Features in Image Data
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SDM
2008
SIAM
139views Data Mining» more  SDM 2008»
15 years 5 months ago
Maximal Quasi-Bicliques with Balanced Noise Tolerance: Concepts and Co-clustering Applications
The rigid all-versus-all adjacency required by a maximal biclique for its two vertex sets is extremely vulnerable to missing data. In the past, several types of quasi-bicliques ha...
Jinyan Li, Kelvin Sim, Guimei Liu, Limsoon Wong
ECCB
2005
IEEE
15 years 9 months ago
A query language for biological networks
Many areas of modern biology are concerned with the management, storage, visualization, comparison, and analysis of networks. For instance, networks are used to model signal trans...
Ulf Leser
127
Voted
ICIP
2009
IEEE
16 years 5 months ago
Gender Classification In Uncontrolled Settings Using Additive Logistic Models
Many previous studies have investigated gender classification in well-lit frontal images. In this paper we consider images where the pose, expression and lighting are relatively u...
APBC
2003
128views Bioinformatics» more  APBC 2003»
15 years 5 months ago
Machine Learning in DNA Microarray Analysis for Cancer Classification
The development of microarray technology has supplied a large volume of data to many fields. In particular, it has been applied to prediction and diagnosis of cancer, so that it e...
Sung-Bae Cho, Hong-Hee Won
134
Voted
BMCBI
2006
127views more  BMCBI 2006»
15 years 4 months ago
Automatic discovery of cross-family sequence features associated with protein function
Background: Methods for predicting protein function directly from amino acid sequences are useful tools in the study of uncharacterised protein families and in comparative genomic...
Markus Brameier, Josien Haan, Andrea Krings, Rober...