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» Pattern Recognition Using Functions of Multiple Instances
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MCS
2007
Springer
15 years 10 months ago
Classifier Combining Rules Under Independence Assumptions
Classifier combining rules are designed for the fusion of the results from the component classifiers in a multiple classifier system. In this paper, we firstly propose a theoretica...
Shoushan Li, Chengqing Zong
BMCBI
2004
130views more  BMCBI 2004»
15 years 4 months ago
PATTERNFINDER: combined analysis of DNA regulatory sequences and double-helix stability
Background: Regulatory regions that function in DNA replication and gene transcription contain specific sequences that bind proteins as well as less-specific sequences in which th...
Yanlin Huang, David Kowalski
GCB
2004
Springer
139views Biometrics» more  GCB 2004»
15 years 10 months ago
Graph Alignments: A New Concept to Detect Conserved Regions in Protein Active Sites
: We introduce the novel concept of graph alignment, a generalization of graph isomorphism that is motivated by the commonly used multiple sequence alignments. Graph alignments and...
Nils Weskamp, Eyke Hüllermeier, Daniel Kuhn, ...
BMCBI
2006
117views more  BMCBI 2006»
15 years 4 months ago
Incorporating background frequency improves entropy-based residue conservation measures
Background: Several entropy-based methods have been developed for scoring sequence conservation in protein multiple sequence alignments. High scoring amino acid positions may corr...
Kai Wang, Ram Samudrala
119
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ECCV
2010
Springer
15 years 8 months ago
The Semi-Explicit Shape Model for Multi-object Detection and Classification
We propose a model for classification and detection of object classes where the number of classes may be large and where multiple instances of object classes may be present in an i...