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» Learning the Relative Importance of Features in Image Data
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117
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NECO
2010
129views more  NECO 2010»
15 years 2 months ago
A Two-Layer Model of Natural Stimuli Estimated with Score Matching
We consider a hierarchical two-layer model of natural signals in which both layers are learned from the data. Estimation is accomplished by Score Matching, a recently proposed est...
Urs Köster, Aapo Hyvärinen
143
Voted
ISBI
2008
IEEE
16 years 4 months ago
A learning based hierarchical model for vessel segmentation
In this paper we present a learning based method for vessel segmentation in angiographic videos. Vessel Segmentation is an important task in medical imaging and has been investiga...
Richard Socher, Adrian Barbu, Dorin Comaniciu
165
Voted
ECAI
2010
Springer
15 years 1 months ago
Integrating Bipolar Fuzzy Mathematical Morphology in Description Logics for Spatial Reasoning
Bipolarity is an important feature of spatial information, involved in the expression of preferences and constraints about spatial positioning or in pairs of opposite spatial relat...
Céline Hudelot, Jamal Atif, Isabelle Bloch
129
Voted
TCSV
2008
195views more  TCSV 2008»
15 years 3 months ago
Locality Versus Globality: Query-Driven Localized Linear Models for Facial Image Computing
Conventional subspace learning or recent feature extraction methods consider globality as the key criterion to design discriminative algorithms for image classification. We demonst...
Yun Fu, Zhu Li, Junsong Yuan, Ying Wu, Thomas S. H...
141
Voted
CIVR
2006
Springer
143views Image Analysis» more  CIVR 2006»
15 years 7 months ago
Asymmetric Learning and Dissimilarity Spaces for Content-Based Retrieval
Abstract. This paper presents novel dissimilarity space specially designed for interactive multimedia retrieval. By providing queries made of positive and negative examples, the go...
Eric Bruno, Nicolas Moënne-Loccoz, Sté...