801 search results - page 95 / 161 » Estimating Likelihoods for Topic Models |
138
Voted
CIVR
2006
Springer
15 years 6 months ago
2006
Springer
We propose a novel Bayesian learning framework of hierarchical mixture model by incorporating prior hierarchical knowledge into concept representations of multi-level concept struc...
146
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CVPR
2007
IEEE
16 years 4 months ago
2007
IEEE
This paper presents a novel statistical shape model that can be used to detect and localise feature points of a class of objects in images. The shape model is inspired from the 3D...
136
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ACL
2006
15 years 4 months ago
2006
Lasso is a regularization method for parameter estimation in linear models. It optimizes the model parameters with respect to a loss function subject to model complexities. This p...
95
Voted
UAI
2004
15 years 4 months ago
2004
Ancestral graph models, introduced by Richardson and Spirtes (2002), generalize both Markov random fields and Bayesian networks to a class of graphs with a global Markov property ...
135
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PAMI
2006
15 years 2 months ago
2006
In this paper we present a variational Bayes (VB) framework for learning continuous hidden Markov models (CHMMs), and we examine the VB framework within active learning. Unlike a ...