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ICPR
2008
IEEE
14 years 2 months ago
Robust indoor activity recognition via boosting
In this paper, a novel statistical indoor activity recognition algorithm is introduced. While conditional random fields (CRFs) have prominent properties to this task, no optimal ...
Masamichi Shimosaka, Taketoshi Mori, Tomomasa Sato
GECCO
2007
Springer
166views Optimization» more  GECCO 2007»
14 years 2 months ago
Scalable estimation-of-distribution program evolution
I present a new estimation-of-distribution approach to program evolution where distributions are not estimated over the entire space of programs. Rather, a novel representationbui...
Moshe Looks
ICRA
2006
IEEE
161views Robotics» more  ICRA 2006»
14 years 2 months ago
Quadruped Robot Obstacle Negotiation via Reinforcement Learning
— Legged robots can, in principle, traverse a large variety of obstacles and terrains. In this paper, we describe a successful application of reinforcement learning to the proble...
Honglak Lee, Yirong Shen, Chih-Han Yu, Gurjeet Sin...
IJCV
1998
157views more  IJCV 1998»
13 years 7 months ago
Stereo Matching with Nonlinear Diffusion
One of the central problems in stereo matching (and other image registration tasks) is the selection of optimal window sizes for comparing image regions. This paper addresses this ...
Daniel Scharstein, Richard Szeliski
BMVC
2010
13 years 6 months ago
Deterministic Sample Consensus with Multiple Match Hypotheses
RANSAC (Random Sample Consensus) is a popular and effective technique for estimating model parameters in the presence of outliers. Efficient algorithms are necessary for both fram...
Paul McIlroy, Edward Rosten, Simon Taylor, Tom Dru...