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ICPR
2008
IEEE
14 years 2 months ago
Improving Bayesian Network parameter learning using constraints
This paper describes a new approach to unify constraints on parameters with training data to perform parameter estimation in Bayesian networks of known structure. The method is ge...
Cassio Polpo de Campos, Qiang Ji
ANLP
2000
92views more  ANLP 2000»
13 years 9 months ago
TnT -- A Statistical Part-of-Speech Tagger
Trigrams'n'Tags (TnT) is an efficient statistical part-of-speech tagger. Contrary to claims found elsewhere in the literature, we argue that a tagger based on Markov mod...
Thorsten Brants
ECCV
1998
Springer
14 years 9 months ago
A Two-Stage Probabilistic Approach for Object Recognition
Assume that some objects are present in an image but can be seen only partially and are overlapping each other. To recognize the objects, we have to rstly separate the objects from...
Stan Z. Li, Joachim Hornegger
ICASSP
2010
IEEE
13 years 8 months ago
Hierarchical language modeling for audio events detection in a sports game
We investigate the automatic labelling of “events” from an audio recording of a sports game. We describe a technique that utilises a hierarchy of language models, which are a ...
Qiang Huang, Stephen Cox
ICDM
2003
IEEE
134views Data Mining» more  ICDM 2003»
14 years 1 months ago
Probabilistic User Behavior Models
We present a mixture model based approach for learning individualized behavior models for the Web users. We investigate the use of maximum entropy and Markov mixture models for ge...
Eren Manavoglu, Dmitry Pavlov, C. Lee Giles