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MICCAI
2005
Springer
16 years 7 hour ago
Tissue Classification of Noisy MR Brain Images Using Constrained GMM
We present an automated algorithm for tissue segmentation of noisy, low contrast magnetic resonance (MR) images of the brain. We use a mixture model composed of a large number of G...
Amit Ruf, Hayit Greenspan, Jacob Goldberger
ICML
2007
IEEE
15 years 12 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...
ICIP
2006
IEEE
16 years 24 days ago
Hierarchical Data Structure for Real-Time Background Subtraction
This paper seeks to increase the efficiency of background subtraction algorithms for motion detection. Our method uses a quadtree-base hierarchical framework that samples a small ...
Johnny Park, Amy Tabb, Avinash C. Kak
CBMS
2006
IEEE
15 years 5 months ago
Technology for Medical Education, Research, and Disease Screening by Exploitation of Biomarkers in a Large Collection of Uterine
The Communications Engineering Branch of the National Library of Medicine is collaborating with the National Cancer Institute (NCI) in developing applications for medical educatio...
L. Rodney Long, Sameer Antani, Jose Jeronimo, Mark...
TREC
2007
15 years 9 days ago
Query and Document Models for Enterprise Search
: We describe our participation in the TREC 2007 Enterprise track and detail our language modeling-based approaches. For document search, our focus was on estimating a mixture mode...
Krisztian Balog, Katja Hofmann, Wouter Weerkamp, M...