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Titolo:CLASSIFIERS BASED ON A NEW APPROACH TO ESTIMATE THE FISHER SUBSPACE AND THEIR APPLICATIONS
Pubblicazione:: Università degli Studi di Milano, 2011-03-24
Abstract: In this thesis we propose a novel classifier, and its extensions, based on a novel estimation of the Fisher Subspace. The proposed classifiers have been developed to deal with high dimensional and highly unbalanced datasets whose cardinality is low. ...Fisher Subspace. The proposed classifiers have been developed to deal with high dimensional and highly unbalanced datasets whose cardinality is low. The efficacy of the proposed techniques has been proved by the results achieved on real and synthetic datasets, and by the comparison with state of the art predictors.
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Note:diritti: info:eu-repo/semantics/openAccess
Autori secondari:relatore: Paola Campadelli ; correlatore: Danilo Bruschi ; coordinatore: Ernesto Damiani
CAMPADELLI, PAOLA
DAMIANI, ERNESTO
Classe MIUR:Settore INF/01 - - Informatica
Risorsa digitale:Copia depositata in BNCF Repository di Ateneo
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200 1 |a CLASSIFIERS BASED ON A NEW APPROACH TO ESTIMATE THE FISHER SUBSPACE AND THEIR APPLICATIONS  |b Tesi di dottorato 
210 1 |c Università degli Studi di Milano  |d 2011-03-24 
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330 |a In this thesis we propose a novel classifier, and its extensions, based on a novel estimation of the Fisher Subspace. The proposed classifiers have been developed to deal with high dimensional and highly unbalanced datasets whose cardinality is low. The efficacy of the proposed techniques has been proved by the results achieved on real and synthetic datasets, and by the comparison with state of the art predictors. 
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610 0 |a kernel method 
610 0 |a online method 
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702 0 |a relatore: Paola Campadelli ; correlatore: Danilo Bruschi ; coordinatore: Ernesto Damiani 
702 0 |a CAMPADELLI, PAOLA 
702 0 |a DAMIANI, ERNESTO 
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856 4 |u http://memoria.depositolegale.it/*/http://hdl.handle.net/2434/158358  |2 http://hdl.handle.net/2434/158358 
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Tesi di dottorato | Lingua: Inglese | Paese: | BID: TD16000430
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