Robot semantic place recognition based on deep belief networks and a direct use of tiny images

Robot semantic place recognition based on deep belief networks and a direct use of tiny images

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Il est généralement facile pour les humains de distinguer rapidement différents lieux en se basant uniquement sur leur aspect visuel. . Ces catégories sémantiques peuvent être utilisées comme information contextuelle favorisant la détection et la reconnaissance d'objets. Des travaux récents en...

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Bibliographic Details
Main Author:	Hasasneh, Ahmad
Other Authors:	Paris 11
Language:	en
Published:	2012
Subjects:	Reconnaissance de lieux sémantiques Modéles basés sur l'énergie Machine de Boltzmann restreinte Architecture profonde Sac-de-mots Régression Softmax Semantic Places Recognition Energy-based models Restrict-ed Boltzmann Machines Deep Belief Networks Bag-of-Words Softmax Regression
Online Access:	http://www.theses.fr/2012PA112298/document

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