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» Hierarchical approximation and localization
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EMMCVPR
2001
Springer
15 years 8 months ago
A Hierarchical Markov Random Field Model for Figure-Ground Segregation
To segregate overlapping objects into depth layers requires the integration of local occlusion cues distributed over the entire image into a global percept. We propose to model thi...
Stella X. Yu, Tai Sing Lee, Takeo Kanade
PKDD
2009
Springer
144views Data Mining» more  PKDD 2009»
15 years 10 months ago
Compositional Models for Reinforcement Learning
Abstract. Innovations such as optimistic exploration, function approximation, and hierarchical decomposition have helped scale reinforcement learning to more complex environments, ...
Nicholas K. Jong, Peter Stone
ATAL
2010
Springer
15 years 5 months ago
Augmenting appearance-based localization and navigation using belief update
Appearance-based localization compares the current image taken from a robot's camera to a set of pre-recorded images in order to estimate the current location of the robot. S...
George Chrysanthakopoulos, Guy Shani
MOC
1998
111views more  MOC 1998»
15 years 3 months ago
The approximation power of moving least-squares
A general method for near-best approximations to functionals on Rd, using scattered-data information is discussed. The method is actually the moving least-squares method, presented...
David Levin
HPCA
2009
IEEE
16 years 4 months ago
Design and evaluation of a hierarchical on-chip interconnect for next-generation CMPs
Performance and power consumption of an on-chip interconnect that forms the backbone of Chip Multiprocessors (CMPs), are directly influenced by the underlying network topology. Bo...
Reetuparna Das, Soumya Eachempati, Asit K. Mishra,...