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» Estimating Likelihoods for Topic Models
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JMLR
2012
13 years 5 months ago
Noise-Contrastive Estimation of Unnormalized Statistical Models, with Applications to Natural Image Statistics
We consider the task of estimating, from observed data, a probabilistic model that is parameterized by a finite number of parameters. In particular, we are considering the situat...
Michael Gutmann, Aapo Hyvärinen
CVPR
2007
IEEE
16 years 5 months ago
Kernel-based Tracking from a Probabilistic Viewpoint
In this paper, we present a probabilistic formulation of kernel-based tracking methods based upon maximum likelihood estimation. To this end, we view the coordinates for the pixel...
Quang Anh Nguyen, Antonio Robles-Kelly, Chunhua Sh...
ACL
2008
15 years 4 months ago
Credibility Improves Topical Blog Post Retrieval
Topical blog post retrieval is the task of ranking blog posts with respect to their relevance for a given topic. To improve topical blog post retrieval we incorporate textual cred...
Wouter Weerkamp, Maarten de Rijke
128
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ICPR
2000
IEEE
16 years 4 months ago
A Markov Random Field Model for Automatic Speech Recognition
Speech can be represented as a time/frequency distribution of energy using a multi-band filter bank. A Markov random field model, which takes into account the possible time asynch...
Gérard Chollet, Guillaume Gravier, Marc Sig...
IJON
2011
91views more  IJON 2011»
14 years 10 months ago
Asymptotic properties of mixture-of-experts models
The statistical properties of the likelihood ratio test statistic (LRTS) for mixture-of-expert models are addressed in this paper. This question is essential when estimating the nu...
Madalina Olteanu, Joseph Rynkiewicz