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» Data Mining from Functional Brain Images
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AAAI
2008
15 years 8 months ago
Adaptive Treatment of Epilepsy via Batch-mode Reinforcement Learning
This paper highlights the crucial role that modern machine learning techniques can play in the optimization of treatment strategies for patients with chronic disorders. In particu...
Arthur Guez, Robert D. Vincent, Massimo Avoli, Joe...
ICCV
2011
IEEE
14 years 6 months ago
Perturb-and-MAP Random Fields: Using Discrete Optimization\\to Learn and Sample from Energy Models
We propose a novel way to induce a random field from an energy function on discrete labels. It amounts to locally injecting noise to the energy potentials, followed by finding t...
George Papandreou, Alan L. Yuille
VISUALIZATION
1998
IEEE
15 years 10 months ago
Image-based rendering with occlusions via cubist images
We attack the problem of image-based rendering with occlusions and general camera motions by using distorted multiperspective images; such images provide multiple-viewpoint photom...
Andrew J. Hanson, Eric A. Wernert
ICIP
1998
IEEE
16 years 7 months ago
Multi-Image Matching for a General Motion Stereo Camera Model
Motion stereo is to extract the 3-0 information of an object from images of a moving camera, using geometric relationships between corresponding points. This paper presents an acc...
Ja Seong Ku, Kyoung Mu Lee, Sang Uk Lee
ARTMED
2004
145views more  ARTMED 2004»
15 years 6 months ago
A novel kernelized fuzzy C-means algorithm with application in medical image segmentation
: Image segmentation plays a crucial role in many medical imaging applications. In this paper, we present a novel algorithm for fuzzy segmentation of magnetic resonance imaging (MR...
Dao-Qiang Zhang, Song-Can Chen