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JMLR
2010
141views more  JMLR 2010»
14 years 5 months ago
Hierarchical Gaussian Process Regression
We address an approximation method for Gaussian process (GP) regression, where we approximate covariance by a block matrix such that diagonal blocks are calculated exactly while o...
Sunho Park, Seungjin Choi
SOCO
2010
Springer
14 years 5 months ago
Using evolution strategies to solve DEC-POMDP problems
Decentralized partially observable Markov decision process (DEC-POMDP) is an approach to model multi-robot decision making problems under uncertainty. Since it is NEXP-complete the...
Baris Eker, H. Levent Akin
ICIP
2003
IEEE
15 years 11 months ago
Shape adaptation for light field compression
We propose a method of using shape adaptation for compression of light fields of 3-D objects. Shape adaptation is incorporated into two light field coders, both applying disparity...
Chuo-Ling Chang, Xiaoqing Zhu, Prashant Ramanathan...
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ICDE
2007
IEEE
140views Database» more  ICDE 2007»
15 years 11 months ago
Selecting Stars: The k Most Representative Skyline Operator
Skyline computation has many applications including multi-criteria decision making. In this paper, we study the problem of selecting k skyline points so that the number of points,...
Xuemin Lin, Yidong Yuan, Qing Zhang, Ying Zhang
ICML
2007
IEEE
15 years 11 months ago
Incremental Bayesian networks for structure prediction
We propose a class of graphical models appropriate for structure prediction problems where the model structure is a function of the output structure. Incremental Sigmoid Belief Ne...
Ivan Titov, James Henderson