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139
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DAGM
2003
Springer
15 years 9 months ago
A Generative Model Based Approach to Motion Segmentation
We address the question of how to choose between different likelihood functions for motion estimation. To this end, we formulate motion estimation as a problem of Bayesian inferen...
Daniel Cremers, Alan L. Yuille
RECOMB
2001
Springer
15 years 8 months ago
DNA segmentation as a model selection process
Previous divide-and-conquer segmentation analyses of DNA sequences do not provide a satisfactory stopping criterion for the recursion. This paper proposes that segmentation be con...
Wentian Li
116
Voted
ACL
2007
15 years 5 months ago
Much ado about nothing: A social network model of Russian paradigmatic gaps
A number of Russian verbs lack 1sg nonpast forms. These paradigmatic gaps are puzzling because they seemingly contradict the highly productive nature of inflectional systems. We m...
Robert Daland, Andrea D. Sims, Janet Pierrehumbert
ACL
2006
15 years 5 months ago
Unsupervised Topic Modelling for Multi-Party Spoken Discourse
We present a method for unsupervised topic modelling which adapts methods used in document classification (Blei et al., 2003; Griffiths and Steyvers, 2004) to unsegmented multi-pa...
Matthew Purver, Konrad P. Körding, Thomas L. ...
NIPS
2001
15 years 5 months ago
A Maximum-Likelihood Approach to Modeling Multisensory Enhancement
The deep layers of the superior colliculus (DSC) integrate multisensory input and initiate an orienting response toward the source of stimulation. Multisensory response enhancemen...
H. Colonius, A. Diederich