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» Estimating Likelihoods for Topic Models
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JMLR
2012
13 years 3 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 2 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 2 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
108
Voted
ICPR
2000
IEEE
16 years 1 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 7 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