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» Approximation Algorithms for Min-Max Generalization Problems
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ICASSP
2008
IEEE
14 years 3 months ago
Multi-source DOA estimation in a reverberant room
In a reverberant scenario, phase transformed weighted algorithms are more robust than Maximum Likelihood (ML) because of the insufficiency of the data model to incorporate reverb...
Andreas M. Ali, Ralph E. Hudson, Kung Yao
ICPR
2008
IEEE
14 years 3 months ago
Medical image segmentation via min s-t cuts with sides constraints
Graph cut algorithms (i.e., min s-t cuts) [3][10][15] are useful in many computer vision applications. In this paper we develop a formulation that allows the addition of side cons...
Jiun-Hung Chen, Linda G. Shapiro
ML
2002
ACM
146views Machine Learning» more  ML 2002»
13 years 8 months ago
Kernel Matching Pursuit
Matching Pursuit algorithms learn a function that is a weighted sum of basis functions, by sequentially appending functions to an initially empty basis, to approximate a target fu...
Pascal Vincent, Yoshua Bengio
COLT
2010
Springer
13 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...
ICIP
2003
IEEE
14 years 10 months ago
Rate distortion optimized mode decision in the scalable video coding
In this paper, we discuss how to apply the rate distortion technique to select the optimal mode in the scalable coding. Firstly, we analyze this problem from a general scalable mo...
Zhijie Yang, Feng Wu, Shipeng Li