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» Approximate algorithms for neural-Bayesian approaches
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TIP
1998
114views more  TIP 1998»
14 years 9 months ago
An optimal polygonal boundary encoding scheme in the rate distortion sense
—In this paper, we present fast and efficient methods for the lossy encoding of object boundaries that are given as eight-connect chain codes. We approximate the boundary by a p...
Guido M. Schuster, Aggelos K. Katsaggelos
IJRR
2010
162views more  IJRR 2010»
14 years 8 months ago
Planning under Uncertainty for Robotic Tasks with Mixed Observability
Partially observable Markov decision processes (POMDPs) provide a principled, general framework for robot motion planning in uncertain and dynamic environments. They have been app...
Sylvie C. W. Ong, Shao Wei Png, David Hsu, Wee Sun...
TKDE
2010
199views more  TKDE 2010»
14 years 8 months ago
Probabilistic Reverse Nearest Neighbor Queries on Uncertain Data
—Uncertain data is inherent in various important applications and reverse nearest neighbor (RNN) query is an important query type for many applications. While many different type...
Muhammad Aamir Cheema, Xuemin Lin, Wei Wang 0011, ...
CIKM
2010
Springer
14 years 7 months ago
Combining link and content for collective active learning
In this paper, we study a novel problem Collective Active Learning, in which we aim to select a batch set of "informative" instances from a networking data set to query ...
Lixin Shi, Yuhang Zhao, Jie Tang
COLT
2010
Springer
14 years 7 months ago
Efficient Classification for Metric Data
Recent advances in large-margin classification of data residing in general metric spaces (rather than Hilbert spaces) enable classification under various natural metrics, such as ...
Lee-Ad Gottlieb, Leonid Kontorovich, Robert Krauth...