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ICML
2004
IEEE
14 years 8 months ago
Variational methods for the Dirichlet process
Variational inference methods, including mean field methods and loopy belief propagation, have been widely used for approximate probabilistic inference in graphical models. While ...
David M. Blei, Michael I. Jordan
ICIP
2005
IEEE
14 years 9 months ago
Statistical categorization of human histological images
Histology is the science of understanding the structure of animals and plants, and studying the functional implications of biological structures. In this paper, we propose a stati...
Dehua Zhao, Yixin Chen, Nelson Correa
ICIP
2003
IEEE
14 years 9 months ago
A semantic representation for image retrieval
Robust semantic labeling of image regions is a basic problem in representing and retrieving image/video content. We propose an SVM-MRF framework to model features and their spatia...
Lei Wang, B. S. Manjunath
ICPR
2004
IEEE
14 years 9 months ago
Joint Spatial and Temporal Structure Learning for Task based Control
We present an example of a joint spatial and temporal task learning algorithm that results in a generative model that has applications for on-line visual control. We review work o...
Hilary Buxton, Kingsley Sage
ICASSP
2008
IEEE
14 years 2 months ago
Analysis-by-synthesis features for speech recognition
We present a framework for speech recognition that accounts for hidden articulatory information. We model the articulatory space using a codebook of articulatory configurations g...
Ziad Al Bawab, Bhiksha Raj, Richard M. Stern