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ICML
2005
IEEE
16 years 5 months ago
Q-learning of sequential attention for visual object recognition from informative local descriptors
This work provides a framework for learning sequential attention in real-world visual object recognition, using an architecture of three processing stages. The first stage rejects...
Lucas Paletta, Gerald Fritz, Christin Seifert
ICML
1999
IEEE
16 years 5 months ago
Simple DFA are Polynomially Probably Exactly Learnable from Simple Examples
E cient learning of DFA is a challenging research problem in grammatical inference. Both exact and approximate (in the PAC sense) identi ability of DFA from examples is known to b...
Rajesh Parekh, Vasant Honavar
CORR
2011
Springer
183views Education» more  CORR 2011»
14 years 11 months ago
Detecting Separation in Robotic and Sensor Networks
In this paper we consider the problem of monitoring detecting separation of agents from a base station in robotic and sensor networks. Such separation can be caused by mobility an...
Chenda Liao, Harshavardhan Chenji, Prabir Barooah,...
GECCO
2006
Springer
208views Optimization» more  GECCO 2006»
15 years 8 months ago
Comparing evolutionary and temporal difference methods in a reinforcement learning domain
Both genetic algorithms (GAs) and temporal difference (TD) methods have proven effective at solving reinforcement learning (RL) problems. However, since few rigorous empirical com...
Matthew E. Taylor, Shimon Whiteson, Peter Stone
CRV
2008
IEEE
120views Robotics» more  CRV 2008»
15 years 11 months ago
Ray-based Color Image Segmentation
We propose a ray-based segmentation method for color images. A segment is represented by a centroid and evenlydistributed rays shooting out from it. First, a bottom-up low-level b...
Changhai Xu, Yong Jae Lee, Benjamin Kuipers