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» Learning Low-Level Vision
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ICPR
2010
IEEE
13 years 8 months ago
The Use of Genetic Programming for Learning 3D Craniofacial Shape Quantifications
Indriyati Atmosukarto, Linda G. Shapiro, Carrie He...
MVA
2011
246views Computer Vision» more  MVA 2011»
13 years 3 months ago
Cost-sensitive learning of top-down modulation for attentional control
Ali Borji, Majid Nili Ahmadabadi, Babak Nadjar Ara...
ICML
2005
IEEE
14 years 9 months ago
Non-negative tensor factorization with applications to statistics and computer vision
We derive algorithms for finding a nonnegative n-dimensional tensor factorization (n-NTF) which includes the non-negative matrix factorization (NMF) as a particular case when n = ...
Amnon Shashua, Tamir Hazan
ROBOCUP
2000
Springer
130views Robotics» more  ROBOCUP 2000»
14 years 7 days ago
Improvement Continuous Valued Q-learning and Its Application to Vision Guided Behavior Acquisition
Q-learning, a most widely used reinforcement learning method, normally needs well-defined quantized state and action spaces to converge. This makes it difficult to be applied to re...
Yasutake Takahashi, Masanori Takeda, Minoru Asada
VISAPP
2007
13 years 9 months ago
Extraction of multi-modal object representations in a robot vision system
We introduce one module in a cognitive system that learns the shape of objects by active exploration. More specifically, we propose a feature tracking scheme that makes use of the...
Nicolas Pugeault, Emre Baseski, Dirk Kraft, Floren...