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» Image classification using hybrid neural networks
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CVPR
2007
IEEE
14 years 9 months ago
Semantic Hierarchies for Visual Object Recognition
In this paper we propose to use lexical semantic networks to extend the state-of-the-art object recognition techniques. We use the semantics of image labels to integrate prior kno...
Marcin Marszalek, Cordelia Schmid
SSPR
2004
Springer
14 years 1 months ago
An MCMC Feature Selection Technique for Characterizing and Classifying Spatial Region Data
We focus on characterizing spatial region data when distinct classes of structural patterns are present. We propose a novel statistical approach based on a supervised framework for...
Despina Kontos, Vasileios Megalooikonomou, Marc J....
KDD
2000
ACM
147views Data Mining» more  KDD 2000»
13 years 11 months ago
A self organizing map (SOM) extended model for information discovery in a digital library context
This paper presents the MicroNOMAD Discovering Tool. Its main characteristic is both to provide an user with emergent analyses of a multimedia database content and with querying a...
Jean-Charles Lamirel, Jacques Ducloy, Hager Kammou...
ICPPW
2006
IEEE
14 years 1 months ago
Embedded Knowledge-Based Speech Detectors for Real-Time Recognition Tasks
Speech recognition has become common in many application domains, from dictation systems for professional practices to vocal user interfaces for people with disabilities or hands-...
Sabato Marco Siniscalchi, Fulvio Gennaro, Salvator...
CDC
2010
IEEE
196views Control Systems» more  CDC 2010»
13 years 2 months ago
Convergence and convergence rate of stochastic gradient search in the case of multiple and non-isolated extrema
The asymptotic behavior of stochastic gradient algorithms is studied. Relying on some results of differential geometry (Lojasiewicz gradient inequality), the almost sure pointconve...
Vladislav B. Tadic