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Listar por palabra clave "Hidden Markov models"

RiuNet: Repositorio Institucional de la Universidad Politécnica de Valencia

Listar por palabra clave "Hidden Markov models"

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    A Set of Benchmarks for Handwritten Text Recognition on Historical Documents 
    Sánchez Peiró, Joan Andreu; Romero, Verónica; Toselli, Alejandro Héctor; Villegas, Mauricio; Vidal, Enrique (Elsevier, 2019-10)
    [EN] Handwritten Text Recognition is a important requirement in order to make visible the contents of the myriads of historical documents residing in public and private archives and libraries world wide. Automatic Handwritten ...
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    Clasificación de interfonos Fermax mediante imagen y sonido 
    de la Paz Gonzalez, Eduardo (Universitat Politècnica de València, 2021-10-14)
    [ES] Fermax, fabricantes líderes de videoporteros, porteros automáticos y sistemas de control de acceso en España, tiene distribuidos diferentes modelos de interfonos a lo largo del país. Durante el proceso de digitalización ...
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    Classification of paroxysmal and persistent atrial fibrillation in ambulatory ECG recordings 
    Alcaraz, Raúl; Sandberg, Frida; Sornmo, Leif; Rieta Ibañez, José Joaquín (Institute of Electrical and Electronics Engineers (IEEE), 2011-05)
    The problem of classifying short atrial fibrillatory segments in ambulatory ECG recordings as being either paroxysmal or persistent is addressed by investigating a robust approach to signal characterization. The method ...
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    Forward and Backward algorithms 
    Juan Císcar, Alfonso; Sanchis Navarro, José Alberto; Civera Saiz, Jorge (Universitat Politècnica de València, 2019-06-28)
    The training objectives of the learning object are: 1) To explain the difficulty of computing the probability of a string with a Hidden Markov Model (HMM); 2) To compute the prob. of a string with the Forward algorithm; ...
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    Hidden Markov models 
    Juan Císcar, Alfonso; Sanchis Navarro, José Alberto; Civera Saiz, Jorge (Universitat Politècnica de València, 2019-05-30)
    The training objectives of the learning object are: 1) To interpret a Hidden Markov Model (HMM); and 2) To compute the probability of a string directly. They are covered at a basic level with the help of simple examples.
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    Improving offline handwritten text recognition with hybrid HMM/ANN models 
    España Boquera, Salvador; Castro-Bleda, Maria Jose; Gorbe Moya, Jorge; Zamora Martínez, Francisco Julián (Institute of Electrical and Electronics Engineers (IEEE), 2011-04)
    This paper proposes the use of hybrid Hidden Markov Model (HMM)/Artificial Neural Network (ANN) models for recognizing unconstrained offline handwritten texts. The structural part of the optical models has been modeled ...
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    The ESPOSALLES database: An ancient marriage license corpus for off-line handwriting recognition 
    Romero Gómez, Verónica; Fornés, Alicia; Serrano Martínez-Santos, Nicolás; Sánchez Peiró, Joan Andreu; Toselli ., Alejandro Héctor; Frinken, Volkmar; Vidal, Enrique; Lladós, Josep (Elsevier, 2013-06)
    [EN] Historical records of daily activities provide intriguing insights into the life of our ancestors, useful for demography studies and genealogical research. Automatic processing of historical documents, however, has ...