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» Robust optimization - methodology and applications
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ICASSP
2011
IEEE
14 years 10 months ago
Outlier-aware robust clustering
Clustering is a basic task in a variety of machine learning applications. Partitioning a set of input vectors into compact, wellseparated subsets can be severely affected by the p...
Pedro A. Forero, Vassilis Kekatos, Georgios B. Gia...
ISNN
2011
Springer
14 years 9 months ago
Robust Multi-stream Keyword and Non-linguistic Vocalization Detection for Computationally Intelligent Virtual Agents
Abstract. Systems for keyword and non-linguistic vocalization detection in conversational agent applications need to be robust with respect to background noise and different speak...
Martin Wöllmer, Erik Marchi, Stefano Squartin...
CVPR
2008
IEEE
16 years 8 months ago
Edge descriptors for robust wide-baseline correspondence
This paper describes a method for finding wide-baseline correspondences between images at locations along gradient edges. We find edges in scale space using established methods an...
Jason Meltzer, Stefano Soatto
ICIP
1997
IEEE
16 years 8 months ago
Two-Dimensional Blind Deconvolution Using a Robust GCD Approach
In this paper we examine the applicability of the previously proposed Greatest Common Divisor (GCD) method to blind image deconvolution. In this method, the desired image is appro...
S. U. Pillai, B. Liang
ICIAP
2007
ACM
16 years 6 months ago
A robust measure for visual correspondence
In this paper a novel measure for visual correspondence is proposed, to be adopted for common computer vision tasks such as pattern matching, stereo vision, change detection. The ...
Federico Tombari, Luigi di Stefano, Stefano Mattoc...