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» A learning based hierarchical model for vessel segmentation
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ISBI
2007
IEEE
15 years 3 months ago
Dynamic Texture Based Heart Localization and Segmentation in 4-D Cardiac Images
In this paper we present a dynamic texture based motion segmentation approach to address the challenging problem of heart localization and segmentation in 4D Spatio-temporal cardi...
Junzhou Huang, Xiaolei Huang, Dimitris N. Metaxas,...
ICML
2007
IEEE
15 years 10 months ago
Multi-task reinforcement learning: a hierarchical Bayesian approach
We consider the problem of multi-task reinforcement learning, where the agent needs to solve a sequence of Markov Decision Processes (MDPs) chosen randomly from a fixed but unknow...
Aaron Wilson, Alan Fern, Soumya Ray, Prasad Tadepa...
ICTAI
2006
IEEE
15 years 3 months ago
A Multi-HMM Approach to ECG Segmentation
Pharmaceutic studies require to analyze thousands of ECGs in order to evaluate the side effects of a new drug. In this paper we present a new approach to automatic ECG segmentatio...
Julien Thomas, Cédric Rose, François...
BMVC
2010
14 years 4 months ago
Saliency Segmentation based on Learning and Graph Cut Refinement
Saliency detection is a well researched problem in computer vision. In previous work, most of the effort is spent on manually devising a saliency measure. Instead we propose a sim...
Paria Mehrani, Olga Veksler
ICASSP
2010
IEEE
14 years 9 months ago
Hierarchical Gaussian Mixture Model
Gaussian mixture models (GMMs) are a convenient and essential tool for the estimation of probability density functions. Although GMMs are used in many research domains from image ...
Vincent Garcia, Frank Nielsen, Richard Nock