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ECCV
2010
Springer
14 years 9 months ago
MIForests: Multiple-Instance Learning with Randomized Trees
Abstract. Multiple-instance learning (MIL) allows for training classifiers from ambiguously labeled data. In computer vision, this learning paradigm has been recently used in many ...
Christian Leistner, Amir Saffari, Horst Bischof
ICMCS
2010
IEEE
194views Multimedia» more  ICMCS 2010»
14 years 9 months ago
Speech emotion estimation in 3D space
Speech processing is an important aspect of affective computing. Most research in this direction has focused on classifying emotions into a small number of categories. However, nu...
Dongrui Wu, Thomas D. Parsons, Emily Mower, Shrika...
ALMOB
2008
160views more  ALMOB 2008»
14 years 9 months ago
Syntenator: Multiple gene order alignments with a gene-specific scoring function
Background: Identification of homologous regions or conserved syntenies across genomes is one crucial step in comparative genomics. This task is usually performed by genome alignm...
Christian Rödelsperger, Christoph Dieterich
BMCBI
2010
150views more  BMCBI 2010»
14 years 9 months ago
AMS 3.0: prediction of post-translational modifications
Background: We present here the recent update of AMS algorithm for identification of post-translational modification (PTM) sites in proteins based only on sequence information, us...
Subhadip Basu, Dariusz Plewczynski
BMCBI
2008
171views more  BMCBI 2008»
14 years 9 months ago
Fuzzy association rules for biological data analysis: A case study on yeast
Background: Last years' mapping of diverse genomes has generated huge amounts of biological data which are currently dispersed through many databases. Integration of the info...
Francisco J. Lopez, Armando Blanco, Fernando Garci...