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GECCO
2004
Springer
145views Optimization» more  GECCO 2004»
14 years 3 months ago
Automated Extraction of Problem Structure
Most problems studied in artificial intelligence possess some form of structure, but a precise way to define such structure is so far lacking. We investigate how the notion of pr...
Anthony Bucci, Jordan B. Pollack, Edwin D. de Jong
ECCV
2010
Springer
14 years 3 months ago
Convolutional learning of spatio-temporal features
Abstract. We address the problem of learning good features for understanding video data. We introduce a model that learns latent representations of image sequences from pairs of su...
MICCAI
2009
Springer
14 years 11 months ago
Coronary Tree Extraction Using Motion Layer Separation
Abstract. Fluoroscopic images contain useful information that is difficult to comprehend due to the collapse of the 3D information into 2D space. Extracting the informative layers ...
Wei Zhang, Haibin Ling, Simone Prummer, Shaohua...
SOUPS
2009
ACM
14 years 4 months ago
Games for extracting randomness
Randomness is a necessary ingredient in various computational tasks and especially in Cryptography, yet many existing mechanisms for obtaining randomness suffer from numerous pro...
Ran Halprin, Moni Naor
WAPCV
2004
Springer
14 years 3 months ago
Learning of Position-Invariant Object Representation Across Attention Shifts
Abstract. Selective attention shift can help neural networks learn invariance. We describe a method that can produce a network with invariance to changes in visual input caused by ...
Muhua Li, James J. Clark