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NIPS
2003
13 years 8 months ago
Attractive People: Assembling Loose-Limbed Models using Non-parametric Belief Propagation
The detection and pose estimation of people in images and video is made challenging by the variability of human appearance, the complexity of natural scenes, and the high dimensio...
Leonid Sigal, Michael Isard, Benjamin H. Sigelman,...
CVPR
2009
IEEE
15 years 2 months ago
Global Connectivity Potentials for Random Field Models
Markov random field (MRF, CRF) models are popular in computer vision. However, in order to be computationally tractable they are limited to incorporate only local interactions a...
Sebastian Nowozin, Christoph H. Lampert
SDM
2009
SIAM
394views Data Mining» more  SDM 2009»
14 years 4 months ago
Multi-Modal Hierarchical Dirichlet Process Model for Predicting Image Annotation and Image-Object Label Correspondence.
Many real-world applications call for learning predictive relationships from multi-modal data. In particular, in multi-media and web applications, given a dataset of images and th...
Oksana Yakhnenko, Vasant Honavar
CAV
2009
Springer
135views Hardware» more  CAV 2009»
14 years 8 months ago
Sliding Window Abstraction for Infinite Markov Chains
Window Abstraction for Infinite Markov Chains Thomas A. Henzinger1 , Maria Mateescu1 , and Verena Wolf1,2 1 EPFL, Switzerland 2 Saarland University, Germany Abstract. We present an...
Thomas A. Henzinger, Maria Mateescu, Verena Wolf
UAI
2003
13 years 8 months ago
Bayesian Hierarchical Mixtures of Experts
The Hierarchical Mixture of Experts (HME) is a well-known tree-structured model for regression and classification, based on soft probabilistic splits of the input space. In its o...
Christopher M. Bishop, Markus Svensén