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» Modeling interleaved hidden processes
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ICIP
2000
IEEE
15 years 16 days ago
Hierarchical Image Probability (HIP) Models
We formulate a model for probability distributions on image spaces. We show that any distribution of images can be factored exactly into conditional distributions of feature vecto...
Clay Spence, Lucas C. Parra, Paul Sajda
WSDM
2010
ACM
322views Data Mining» more  WSDM 2010»
14 years 8 months ago
Inferring Search Behaviors Using Partially Observable Markov (POM) Model
This article describes an application of the partially observable Markov (POM) model to the analysis of a large scale commercial web search log. Mathematically, POM is a variant o...
Kuansan Wang, Nikolas Gloy, Xiaolong Li
BMCBI
2005
100views more  BMCBI 2005»
13 years 11 months ago
Evolutionary models for insertions and deletions in a probabilistic modeling framework
Background: Probabilistic models for sequence comparison (such as hidden Markov models and pair hidden Markov models for proteins and mRNAs, or their context-free grammar counterp...
Elena Rivas
OWLED
2007
14 years 11 days ago
Implementing an RDF/OWL Ontology on Henry the III Fine Rolls
This paper will describe the creation of an ontology to model information contained in historical documents. It will describe the structure of the RDF/OWL ontology and how the mode...
José Vieira, Arianna Ciula
WOSP
2004
ACM
14 years 4 months ago
Analysing UML 2.0 activity diagrams in the software performance engineering process
In this paper we present an original method of analysing the newlyrevised UML2.0 activity diagrams. Our analysis method builds on our formal interpretation of these diagrams with ...
C. Canevet, Stephen Gilmore, Jane Hillston, Le&ium...