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BMCBI
2010
123views more  BMCBI 2010»
14 years 4 months ago
Predicting conserved protein motifs with Sub-HMMs
Background: Profile HMMs (hidden Markov models) provide effective methods for modeling the conserved regions of protein families. A limitation of the resulting domain models is th...
Kevin Horan, Christian R. Shelton, Thomas Girke
MIR
2005
ACM
176views Multimedia» more  MIR 2005»
15 years 3 months ago
Hybrid visual and conceptual image representation within active relevance feedback context
Many of the available image databases have keyword annotations associated with the images. In spite of the availability of good quality low-level visual features that reflect wel...
Marin Ferecatu, Nozha Boujemaa, Michel Crucianu
CVPR
2009
IEEE
16 years 4 months ago
Active Learning for Large Multi-class Problems
Scarcity and infeasibility of human supervision for large scale multi-class classification problems necessitates active learning. Unfortunately, existing active learning methods ...
Prateek Jain (University of Texas at Austin), Ashi...
92
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ECML
2006
Springer
15 years 1 months ago
Subspace Metric Ensembles for Semi-supervised Clustering of High Dimensional Data
A critical problem in clustering research is the definition of a proper metric to measure distances between points. Semi-supervised clustering uses the information provided by the ...
Bojun Yan, Carlotta Domeniconi
IPM
2007
158views more  IPM 2007»
14 years 9 months ago
Validation and interpretation of Web users' sessions clusters
Understanding users’ navigation on the Web is important towards improving the quality of information and the speed of accessing large-scale Web data sources. Clustering of users...
George Pallis, Lefteris Angelis, Athena Vakali