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» Density Estimation by Mixture Models with Smoothing Priors
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CORR
2000
Springer
86views Education» more  CORR 2000»
15 years 5 months ago
Variable Word Rate N-grams
The rate of occurrence of words is not uniform but varies from document to document. Despite this observation, parameters for conventional n-gram language models are usually deriv...
Yoshihiko Gotoh, Steve Renals
ECIR
2008
Springer
15 years 7 months ago
Probabilistic Document Length Priors for Language Models
This paper addresses the issue of devising a new document prior for the language modeling (LM) approach for Information Retrieval. The prior is based on term statistics, derived in...
Roi Blanco, Alvaro Barreiro
CVPR
2010
IEEE
15 years 4 months ago
Adaptive pose priors for pictorial structures
Pictorial structure (PS) models are extensively used for part-based recognition of scenes, people, animals and multi-part objects. To achieve tractability, the structure and param...
Benjamin Sapp, Chris Jordan, Ben Taskar
ICML
2007
IEEE
16 years 6 months ago
Hierarchical maximum entropy density estimation
We study the problem of simultaneously estimating several densities where the datasets are organized into overlapping groups, such as a hierarchy. For this problem, we propose a m...
David M. Blei, Miroslav Dudík, Robert E. Sc...
ICASSP
2007
IEEE
16 years 7 days ago
Spatial Mixture Modelling for the Joint Detection-Estimation of Brain Activity in fMRI
— Within-subject analysis in event-related functional Magnetic Resonance Imaging (fMRI) first relies on (i) a detection step to localize which parts of the brain are activated b...
Thomas Vincent, Philippe Ciuciu, Jérô...