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» An fMRI Activation Method Using Complex Data
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ESANN
2008
15 years 4 months ago
Learning to play Tetris applying reinforcement learning methods
In this paper the application of reinforcement learning to Tetris is investigated, particulary the idea of temporal difference learning is applied to estimate the state value funct...
Alexander Groß, Jan Friedland, Friedhelm Sch...
FGR
2008
IEEE
192views Biometrics» more  FGR 2008»
15 years 4 months ago
Tracking a walking person using activity-guided annealed particle filtering
Tracking human pose using observations from less than three cameras is a challenging task due to ambiguity in the available image evidence. This work presents a method for trackin...
John Darby, Baihua Li, Nicholas Costen
145
Voted
ISNN
2005
Springer
15 years 9 months ago
Feature Selection and Intrusion Detection Using Hybrid Flexible Neural Tree
Current Intrusion Detection Systems (IDS) examine all data features to detect intrusion or misuse patterns. Some of the features may be redundant or contribute little (if anything)...
Yuehui Chen, Ajith Abraham, Ju Yang
140
Voted
PAMI
2010
222views more  PAMI 2010»
15 years 1 months ago
Minimal Surfaces Extend Shortest Path Segmentation Methods to 3D
—Shortest paths have been used to segment object boundaries with both continuous and discrete image models. Although these techniques are well defined in 2D, the character of the...
Leo Grady
130
Voted
BMCBI
2010
110views more  BMCBI 2010»
15 years 3 months ago
On the use of resampling tests for evaluating statistical significance of binding-site co-occurrence
Background: In eukaryotes, most DNA-binding proteins exert their action as members of large effector complexes. The presence of these complexes are revealed in high-throughput gen...
David S. Huen, Steven Russell