- -

Contributions to the joint segmentation and classification of sequences (My two cents on decoding and handwriting recognition)

RiuNet: Institutional repository of the Polithecnic University of Valencia

Share/Send to

Cited by

Statistics

  • Estadisticas de Uso

Contributions to the joint segmentation and classification of sequences (My two cents on decoding and handwriting recognition)

Show full item record

España Boquera, S. (2016). Contributions to the joint segmentation and classification of sequences (My two cents on decoding and handwriting recognition) [Tesis doctoral]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/62215

Premios Extraordinarios de tesis doctorales

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/62215

Files in this item

Item Metadata

Title: Contributions to the joint segmentation and classification of sequences (My two cents on decoding and handwriting recognition)
Author: España Boquera, Salvador
Director(s): Castro Bleda, María José
UPV Unit: Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació
Read date / Event date:
2016-01-28
Issued date:
Abstract:
[EN] This work is focused on problems (like automatic speech recognition (ASR) and handwritten text recognition (HTR)) that: 1) can be represented (at least approximately) in terms of one-dimensional sequences, and 2) ...[+]


[ES] Este trabajo se centra en problemas (como reconocimiento automático del habla (ASR) o de escritura manuscrita (HTR)) que cumplen: 1) pueden representarse (quizás aproximadamente) en términos de secuencias unidimensionales, ...[+]


[CA] Aquest treball es centra en problemes (com el reconeiximent automàtic de la parla (ASR) o de l'escriptura manuscrita (HTR)) on: 1) les dades es poden representar (almenys aproximadament) mitjançant seqüències ...[+]
Subjects: Pattern recognition , Sequence classification , Decoding , Transducer composition , Recurrent Transition Network , Hidden Markov Model , Hybrid HMM , Segment Model , Holistic classifier , Language Modeling , Neural Network Language Model , Handwritten Text Recognition , Slant Correction , Text Size Normalization
Copyrigths: Reserva de todos los derechos
DOI: 10.4995/Thesis/10251/62215
Publisher:
Universitat Politècnica de València
Type: Tesis doctoral

recommendations

 

This item appears in the following Collection(s)

Show full item record