Sciweavers

467 search results - page 8 / 94
» An Efficient Approach to Learning Inhomogeneous Gibbs Model
Sort
View
160
Voted
ICCV
2009
IEEE
6637views Computer Vision» more  ICCV 2009»
16 years 2 months ago
A Markov Clustering Topic Model for Mining Behaviour in Video
This paper addresses the problem of fully automated mining of public space video data. A novel Markov Clustering Topic Model (MCTM) is introduced which builds on existing Dynami...
Timothy Hospedales, Shaogang Gong, Tao Xiang
ACL
2009
14 years 7 months ago
A Note on the Implementation of Hierarchical Dirichlet Processes
The implementation of collapsed Gibbs samplers for non-parametric Bayesian models is non-trivial, requiring considerable book-keeping. Goldwater et al. (2006a) presented an approx...
Phil Blunsom, Trevor Cohn, Sharon Goldwater, Mark ...
NIPS
2008
14 years 11 months ago
Improved Moves for Truncated Convex Models
We consider the problem of obtaining the approximate maximum a posteriori estimate of a discrete random field characterized by pairwise potentials that form a truncated convex mod...
M. Pawan Kumar, Philip H. S. Torr
CVPR
2010
IEEE
15 years 6 months ago
Estimation of Image Bias Field with Sparsity Constraints
We propose a new scheme to estimate image bias field through introducing two sparsity constraints. One is that the bias-free image has concise representation with image gradients o...
Yuanjie Zheng and James C. Gee
79
Voted
ECML
2007
Springer
15 years 3 months ago
Statistical Debugging Using Latent Topic Models
Abstract. Statistical debugging uses machine learning to model program failures and help identify root causes of bugs. We approach this task using a novel Delta-Latent-Dirichlet-Al...
David Andrzejewski, Anne Mulhern, Ben Liblit, Xiao...