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» Learning Flexible Features for Conditional Random Fields
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BMVC
2010
14 years 7 months ago
Using Context to Create Semantic 3D Models of Indoor Environments
Semantic 3D models of buildings encode the geometry as well as the identity of key components of a facility, such as walls, floors, and ceilings. Manually constructing such a mode...
Xuehan Xiong, Daniel Huber
ROBOCUP
1998
Springer
132views Robotics» more  ROBOCUP 1998»
15 years 1 months ago
BabyTigers-98: Osaka Legged Robot Team
The Osaka Legged Robot Team, BabyTigers-98, attended the First Sony Legged Robot Competition and Demonstration which was held at La Cite La Villeta, a science and technology museum...
Noriaki Mitsunaga, Minoru Asada, Chizuko Mishima
KDD
2007
ACM
159views Data Mining» more  KDD 2007»
15 years 10 months ago
Domain-constrained semi-supervised mining of tracking models in sensor networks
Accurate localization of mobile objects is a major research problem in sensor networks and an important data mining application. Specifically, the localization problem is to deter...
Rong Pan, Junhui Zhao, Vincent Wenchen Zheng, Jeff...
DMIN
2006
134views Data Mining» more  DMIN 2006»
14 years 11 months ago
Hyper-Rectangular and k-Nearest-Neighbor Models in Stochastic Discrimination
The stochastic discrimination (SD) theory considers learning as building models of uniform coverage over data distributions. Despite successful trials of the derived SD method in s...
Iryna Skrypnyk, Tin Kam Ho
UAI
2008
14 years 11 months ago
Dyna-Style Planning with Linear Function Approximation and Prioritized Sweeping
We consider the problem of efficiently learning optimal control policies and value functions over large state spaces in an online setting in which estimates must be available afte...
Richard S. Sutton, Csaba Szepesvári, Alborz...