- -

Contributions to High-Dimensional Pattern Recognition

RiuNet: Institutional repository of the Polithecnic University of Valencia

Share/Send to

Cited by

Statistics

Contributions to High-Dimensional Pattern Recognition

Show simple item record

Files in this item

dc.contributor.advisor Paredes Palacios, Roberto es_ES
dc.contributor.author Villegas Santamaría, Mauricio es_ES
dc.date.accessioned 2011-05-20T11:40:39Z
dc.date.available 2011-05-20T11:40:39Z
dc.date.created 2011-05-16T08:00:00Z es_ES
dc.date.issued 2011-05-20T11:40:35Z es_ES
dc.identifier.uri http://hdl.handle.net/10251/10939
dc.description.abstract This thesis gathers some contributions to statistical pattern recognition particularly targeted at problems in which the feature vectors are high-dimensional. Three pattern recognition scenarios are addressed, namely pattern classification, regression analysis and score fusion. For each of these, an algorithm for learning a statistical model is presented. In order to address the difficulty that is encountered when the feature vectors are high-dimensional, adequate models and objective functions are defined. The strategy of learning simultaneously a dimensionality reduction function and the pattern recognition model parameters is shown to be quite effective, making it possible to learn the model without discarding any discriminative information. Another topic that is addressed in the thesis is the use of tangent vectors as a way to take better advantage of the available training data. Using this idea, two popular discriminative dimensionality reduction techniques are shown to be effectively improved. For each of the algorithms proposed throughout the thesis, several data sets are used to illustrate the properties and the performance of the approaches. The empirical results show that the proposed techniques perform considerably well, and furthermore the models learned tend to be very computationally efficient. es_ES
dc.language Inglés es_ES
dc.publisher Universitat Politècnica de València es_ES
dc.rights Reserva de todos los derechos es_ES
dc.source Riunet
dc.subject Pattern recognition es_ES
dc.subject Dimensionality reduction es_ES
dc.subject Classification es_ES
dc.subject Regression es_ES
dc.subject Ranking es_ES
dc.subject.classification LENGUAJES Y SISTEMAS INFORMATICOS es_ES
dc.title Contributions to High-Dimensional Pattern Recognition
dc.type Tesis doctoral es_ES
dc.identifier.doi 10.4995/Thesis/10251/10939 es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació es_ES
dc.description.bibliographicCitation Villegas Santamaría, M. (2011). Contributions to High-Dimensional Pattern Recognition [Tesis doctoral no publicada]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/10939 es_ES
dc.description.accrualMethod Palancia es_ES
dc.type.version info:eu-repo/semantics/acceptedVersion es_ES
dc.relation.tesis 3522 es_ES


This item appears in the following Collection(s)

Show simple item record