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ECCV
2010
Springer
13 years 7 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
BMCBI
2010
277views more  BMCBI 2010»
13 years 7 months ago
PCA2GO: a new multivariate statistics based method to identify highly expressed GO-Terms
Background: Several tools have been developed to explore and search Gene Ontology (GO) databases allowing efficient GO enrichment analysis and GO tree visualization. Nevertheless,...
Marc Bruckskotten, Mario Looso, Franz Cemic, Anne ...
BMCBI
2008
91views more  BMCBI 2008»
13 years 7 months ago
t2prhd: a tool to study the patterns of repeat evolution
Background: The models developed to characterize the evolution of multigene families (such as the birth-and-death and the concerted models) have also been applied on the level of ...
Botond Sipos, Kálmán Somogyi, Istv&a...
BMCBI
2005
117views more  BMCBI 2005»
13 years 7 months ago
Differentiation of regions with atypical oligonucleotide composition in bacterial genomes
Background: Complete sequencing of bacterial genomes has become a common technique of present day microbiology. Thereafter, data mining in the complete sequence is an essential st...
Oleg N. Reva, Burkhard Tümmler
PERVASIVE
2008
Springer
13 years 7 months ago
Pressing the Flesh: Sensing Multiple Touch and Finger Pressure on Arbitrary Surfaces
Abstract. This paper identifies a new physical correlate of finger pressure that can be detected and measured visually in a wide variety of situations. When a human finger is press...
Joe Marshall, Tony P. Pridmore, Mike Pound, Steve ...