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CVPR
2011
IEEE
13 years 23 days ago
Kernelized Structural SVM Learning for Supervised Object Segmentation
Object segmentation needs to be driven by top-down knowledge to produce semantically meaningful results. In this paper, we propose a supervised segmentation approach that tightly ...
Luca Bertelli, Tianli Yu, Diem Vu, Salih Gokturk
FUZZIEEE
2007
IEEE
14 years 3 months ago
Blockwise Similarity in [0, 1] via Triangular Norms and Sugeno Integrals - Application to Cluster Validity
— In many fields, e.g. decision-making, numerical values in [0,1] are available and one is often interested in detecting which are similar. In this paper, we propose an operator...
Hoel Le Capitaine, Thomas Batard, Carl Frél...
IJCNN
2006
IEEE
14 years 3 months ago
Correntropy: A Localized Similarity Measure
—The measure of similarity normally utilized in statistical signal processing is based on second order moments. In this paper, we reveal the probabilistic meaning of correntropy ...
Weifeng Liu, Puskal P. Pokharel, Jose C. Principe
ACL
2006
13 years 10 months ago
Automatic Learning of Textual Entailments with Cross-Pair Similarities
In this paper we define a novel similarity measure between examples of textual entailments and we use it as a kernel function in Support Vector Machines (SVMs). This allows us to ...
Fabio Massimo Zanzotto, Alessandro Moschitti
JMLR
2008
95views more  JMLR 2008»
13 years 9 months ago
Learning Similarity with Operator-valued Large-margin Classifiers
A method is introduced to learn and represent similarity with linear operators in kernel induced Hilbert spaces. Transferring error bounds for vector valued large-margin classifie...
Andreas Maurer