SIMBAD

Beyond Features: Similarity-Based Pattern Analysis and Recognition

Coordinatore	UNIVERSITA CA' FOSCARI VENEZIA    more  Organization address address: Via Torino 155 city: Venezia Mestre postcode: 30172 contact info Titolo: Prof. Nome: Marcello Cognome: Pelillo Email: send email Telefono: +39 041 2348440 Fax: +39 041 2348419
Nazionalità Coordinatore	Italy [IT]
Totale costo	2˙171˙104 €
EC contributo	1˙647˙980 €
Programma	FP7-ICT Specific Programme "Cooperation": Information and communication technologies
Code Call	FP7-ICT-2007-C
Funding Scheme	CP
Anno di inizio	2008
Periodo (anno-mese-giorno)	2008-04-01   -   2011-09-30

 Partecipanti

#	participant	country	role	EC contrib. [€]
1	UNIVERSITA CA' FOSCARI VENEZIA  Organization address address: Via Torino 155 city: Venezia Mestre postcode: 30172 contact info Titolo: Prof. Nome: Marcello Cognome: Pelillo Email: send email Telefono: +39 041 2348440 Fax: +39 041 2348419	IT (Venezia Mestre)	coordinator	0.00
2	EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZURICH  Organization address address: Raemistrasse city: ZUERICH postcode: 8092 contact info Titolo: Prof. Nome: Joachim Cognome: Buhmann Email: send email Telefono: 41446326496 Fax: 41446321562	CH (ZUERICH)	participant	0.00
3	INSTITUTO SUPERIOR TECNICO  Organization address address: Avenida Rovisco Pais city: LISBOA postcode: 1049-001 contact info Titolo: Dr. Nome: Teresa Cognome: Malhoa Email: send email Telefono: +351 218417731 Fax: +351 218478619	PT (LISBOA)	participant	0.00
4	TECHNISCHE UNIVERSITEIT DELFT  Organization address address: Stevinweg city: DELFT postcode: 2628 CN contact info Titolo: Mr. Nome: Dennis F. Cognome: Van Doorn Email: send email Telefono: 31152789344 Fax: 31152787022	NL (DELFT)	participant	0.00
5	UNIVERSITA DEGLI STUDI DI VERONA  Organization address address: VIA DELL' ARTIGLIERE 8 city: VERONA postcode: 37129 contact info Titolo: Dr. Nome: Giacomina Cognome: Bruttomesso Email: send email Telefono: +39 0458027071 Fax: +39 0458027068	IT (VERONA)	participant	0.00
6	UNIVERSITY OF YORK  Organization address address: HESLINGTON HALL city: YORK postcode: YO10 5DD contact info Titolo: Mr. Nome: Chris Cognome: Barber Email: send email Telefono: 441904000000 Fax: 441904000000	UK (YORK)	participant	0.00

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 Obiettivo del progetto (Objective)

Traditional pattern recognition techniques are centered around the notion of 'feature'. According to this view, the objects to be classified are represented in terms of properties that are intrinsic to the object itself. Hence, a typical pattern recognition system makes its decisions by simply looking at one or more feature vectors provided as input. The strength of this approach is that it can leverage a wide range of mathematical tools ranging from statistics, to geometry, to optimization. However, in many real-world applications a feasible feature-based description of objects might be difficult to obtain or inefficient for learning purposes. In these cases, it is often possible to obtain a measure of the (dis)similarity of the objects to be classified, and in some applications the use of dissimilarities (rather than features) makes the problem more viable. In the last few years, researchers in pattern recognition and machine learning are becoming increasingly aware of the importance of similarity information per se. Indeed, by abandoning the realm of vectorial representations one is confronted with the challenging problem of dealing with (dis)similarities that do not necessarily obey the requirements of a metric. This undermines the very foundations of traditional pattern recognition theories and algorithms, and poses totally new theoretical and computational questions. In this project we aim at undertaking a thorough study of several aspects of purely similarity-based pattern analysis and recognition methods, from the theoretical, computational, and applicative perspective. We aim at covering a wide range of problems and perspectives. We shall consider both supervised and unsupervised learning paradigms, generative and discriminative models, and our interest will range from purely theoretical problems to real-world practical applications.