This paper presents a Bayes classifier with a hierarchical structure for appearance-based object recognition. It consists of a new kernel method, Ultrametric Spin Glass-Markov Random Fields, that integrates results of statistical physics with Gibbs distributions. Experiments show the effectiveness of our approach
An ultrametric approach to object recognition / Caputo, Barbara; Dorko, Gy; Niemann, H.. - STAMPA. - (2002). (Intervento presentato al convegno Vision, Modeling and Visualization Conference (VMV) tenutosi a Erlangen; Germany nel 20-22 November 2002).
An ultrametric approach to object recognition
CAPUTO, BARBARA;
2002
Abstract
This paper presents a Bayes classifier with a hierarchical structure for appearance-based object recognition. It consists of a new kernel method, Ultrametric Spin Glass-Markov Random Fields, that integrates results of statistical physics with Gibbs distributions. Experiments show the effectiveness of our approachFile allegati a questo prodotto
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