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» Probabilistic models for pattern statistics
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132
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BMCBI
2007
130views more  BMCBI 2007»
15 years 3 months ago
HMM-ModE - Improved classification using profile hidden Markov models by optimising the discrimination threshold and modifying e
Background: Profile Hidden Markov Models (HMM) are statistical representations of protein families derived from patterns of sequence conservation in multiple alignments and have b...
Prashant K. Srivastava, Dhwani K. Desai, Soumyadee...
259
Voted
DNA
2011
Springer
227views Bioinformatics» more  DNA 2011»
14 years 3 months ago
Cooperative Assembly Systems
Several molecular systems form large-scale objects. One would like to understand their assembly and how this assembly is regulated. As a first step, we investigate the phase trans...
Vincent Danos, Heinz Koeppl, John Wilson-Kanamori
ICCV
2001
IEEE
16 years 5 months ago
Joint Feature Distributions for Image Correspondence
We introduce `Joint Feature Distributions', a general statistical framework for feature based multi-image matching that explicitly models the joint probability distributions ...
Bill Triggs
123
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ISIPTA
2005
IEEE
155views Mathematics» more  ISIPTA 2005»
15 years 9 months ago
Estimation of Chaotic Probabilities
A Chaotic Probability model is a usual set of probability measures, M, the totality of which is endowed with an objective, frequentist interpretation as opposed to being viewed as...
Leandro Chaves Rêgo, Terrence L. Fine
160
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JODS
2006
186views Data Mining» more  JODS 2006»
15 years 3 months ago
Emergent Semantics from Folksonomies: A Quantitative Study
Defining and using ontology to annotate web resources with semantic markups is generally perceived as the primary way to implement the vision of the Semantic Web. The ontology prov...
Lei Zhang 0007, Xian Wu, Yong Yu