Sciweavers

9886 search results - page 445 / 1978
» Learning Compressible Models
Sort
View
CVPR
2008
IEEE
16 years 8 months ago
Who killed the directed model?
Prior distributions are useful for robust low-level vision, and undirected models (e.g. Markov Random Fields) have become a central tool for this purpose. Though sometimes these p...
Justin Domke, Alap Karapurkar, Yiannis Aloimonos
TMI
2008
154views more  TMI 2008»
15 years 5 months ago
Brain Anatomical Structure Segmentation by Hybrid Discriminative/Generative Models
In this paper, a hybrid discriminative/generative model for brain anatomical structure segmentation is proposed. The learning aspect of the approach is emphasized. In the discrimin...
Zhuowen Tu, Katherine Narr, Piotr Dollár, I...
ICML
2009
IEEE
16 years 6 months ago
Exploiting sparse Markov and covariance structure in multiresolution models
We consider Gaussian multiresolution (MR) models in which coarser, hidden variables serve to capture statistical dependencies among the finest scale variables. Tree-structured MR ...
Myung Jin Choi, Venkat Chandrasekaran, Alan S. Wil...
ICML
2006
IEEE
16 years 6 months ago
Kernel Predictive Linear Gaussian models for nonlinear stochastic dynamical systems
The recent Predictive Linear Gaussian model (or PLG) improves upon traditional linear dynamical system models by using a predictive representation of state, which makes consistent...
David Wingate, Satinder P. Singh
IJCAI
2001
15 years 7 months ago
Representing Sentence Structure in Hidden Markov Models for Information Extraction
We study the application of Hidden Markov Models (HMMs) to learning information extractors for
Soumya Ray, Mark Craven