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» Parameter Setting for Evolutionary Latent Class Clustering
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BMCBI
2007
134views more  BMCBI 2007»
13 years 6 months ago
Automatic generation of 3D motifs for classification of protein binding sites
Background: Since many of the new protein structures delivered by high-throughput processes do not have any known function, there is a need for structure-based prediction of prote...
Jean-Christophe Nebel, Pawel Herzyk, David R. Gilb...
CVIU
2007
137views more  CVIU 2007»
13 years 6 months ago
Visual learning of texture descriptors for facial expression recognition in thermal imagery
Facial expression recognition is an active research area that finds a potential application in human emotion analysis. This work presents an illumination independent approach for...
Benjamín Hernández, Gustavo Olague, ...
BMCBI
2008
118views more  BMCBI 2008»
13 years 6 months ago
MetWAMer: eukaryotic translation initiation site prediction
Background: Translation initiation site (TIS) identification is an important aspect of the gene annotation process, requisite for the accurate delineation of protein sequences fro...
Michael E. Sparks, Volker Brendel
BMCBI
2010
144views more  BMCBI 2010»
13 years 6 months ago
Finding sRNA generative locales from high-throughput sequencing data with NiBLS
Background: Next-generation sequencing technologies allow researchers to obtain millions of sequence reads in a single experiment. One important use of the technology is the seque...
Daniel MacLean, Vincent Moulton, David J. Studholm...
ICIP
2003
IEEE
14 years 7 months ago
Feature selection for unsupervised discovery of statistical temporal structures in video
We present algorithms for automatic feature selection for unsupervised structure discovery from video sequences. Feature selection in this scenario is hard because of the absence ...
Lexing Xie, Shih-Fu Chang, Ajay Divakaran, Huifang...