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Browsing by Author "Vidal Ruiz, Enrique"

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Browsing by Author "Vidal Ruiz, Enrique"

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    A Probabilistic Formulation of Keyword Spotting 
    Puigcerver I Pérez, Joan (2019-02-18)
    [ES] La detección de palabras clave (Keyword Spotting, en inglés), aplicada a documentos de texto manuscrito, tiene como objetivo recuperar los documentos, o partes de ellos, que sean relevantes para una cierta consulta ...
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    A Web-Based Demo to Interactive Multimodal Transcription of Historic Text images 
    Romero Gómez, Verónica; Leiva Torres, Luis Alberto; Alabau Gonzalvo, Vicente; Toselli, Alejandro Héctor; Vidal Ruiz, Enrique (Springer Verlag (Germany), 2009)
    [EN] Paleography experts spend many hours transcribing historic documents, and state-of-the-art handwritten text recognition systems are not suitable for performing this task automatically. In this paper we present the ...
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    A word-based naïve bayes classifier for confidence estimation in speech recognition 
    Sanchis Navarro, José Alberto; Juan Císcar, Alfonso; Vidal, Enrique (Institute of Electrical and Electronics Engineers (IEEE), 2012-02)
    Confidence estimation has been largely used in speech recognition to detect words in the recognized sentence that have been likely misrecognized. Confidence estimation can be seen as a conventional pattern classification ...
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    Advances in Document Layout Analysis 
    Bosch Campos, Vicente (2020-03-05)
    [EN] Handwritten Text Segmentation (HTS) is a task within the Document Layout Analysis field that aims to detect and extract the different page regions of interest found in handwritten documents. HTS remains an active ...
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    Análisis de Maquetación ("Layout") en imágenes de texto manuscrito mediante Redes Neuronales 
    Prieto Fontcuberta, José Ramón (2019-10-30)
    [ES] Existen grandes colecciones de manuscritos, las cuales contienen información muy valiosa sobre aspectos cruciales de la historia de nuestra sociedad. Existe tal cantidad de documentos que de forma manual se tardarían ...
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    Aportaciones al reconocimiento automático de texto manuscrito 
    Pastor Gadea, Moisés (2008-05-06)
    En esta tesis se estudia el problema de la robustez en los sistemas de reconocimiento automático de texto manuscrito off-line. Los sistemas de reconocimiento automático de texto manuscrito estarán maduros para su uso ...
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    Character-level interaction in multimodal computer-assisted transcription of text images 
    Martín-Albo Simón, Daniel; Romero Gómez, Verónica; Toselli ., Alejandro Héctor; Vidal, Enrique (Springer Verlag (Germany), 2011)
    To date, automatic handwriting text recognition systems are far from being perfect and heavy human intervention is often required to check and correct the results of such systems. As an alternative, an interactive framework ...
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    CHARACTER-LEVEL INTERACTIONS IN MULTIMODAL COMPUTER-ASSISTED TRANSCRIPTION OF TEXT IMAGES 
    Martín-Albo Simón, Daniel (2011-07-26)
    HTR systems don't achieve acceptable results in unconstrained applications. Therefore, it is convenient to use a system that allows the user to cooperate in the most confortable way with the system to generate a correct ...
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    Contex-aware gestures for mixed-initiative text editings UIs 
    Leiva, Luis A.; Alabau, Vicent; Romero Gómez, Verónica; Toselli, Alejandro Héctor; Vidal, Enrique (Oxford University Press, 2015)
    [EN] This work is focused on enhancing highly interactive text-editing applications with gestures. Concretely, we study Computer Assisted Transcription of Text Images (CATTI), a handwriting transcription system that follows ...
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    Contributions to Pen & Touch Human-Computer Interaction 
    Martín-Albo Simón, Daniel (2016-09-01)
    [EN] Computers are now present everywhere, but their potential is not fully exploited due to some lack of acceptance. In this thesis, the pen computer paradigm is adopted, whose main idea is to replace all input devices ...
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    Development and experimentation of a deep learning system for convolutional and recurrent neural networks 
    Mocholí Calvo, Carlos (2018-09-11)
    [VAL] En l’actualitat, hi ha molt pocs toolkits d’aprenentatge profund centrat en la tasca de Reconeixement de Text Manuscrit (HTR) . HTR es referix al problema de reconéixer una seqüència de caràcters en una imatge ...
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    Diverse Contributions to Implicit Human-Computer Interaction 
    Leiva Torres, Luis Alberto (2012-11-13)
    Cuando las personas interactúan con los ordenadores, hay mucha información que no se proporciona a propósito. Mediante el estudio de estas interacciones implícitas es posible entender qué características de la interfaz de ...
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    Document segmentation using Relative Location Features 
    Cruz Fernández, Francisco (2013-02-06)
    [ES] Presentamos un método genérico para análisis de layout ideado para trabajar sobre documentos con layouts Manhattan y no-Manhattan. Proponemos la combinación de Relative Location Features junto con características ...
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    Escritoire: A Multi-touch Desk with e-Pen Input for Capture, Management and Multimodal Interactive Transcription of Handwritten Documents 
    Martín-Albo Simón, Daniel; Romero Gómez, Verónica; Vidal Ruiz, Enrique (Springer, 2015-06)
    A large quantity of documents used every day are still handwritten. However, it is interesting to transform each of these documents into its digital version for managing, archiving and sharing. Here we present Escritoire, ...
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    Exploiting Existing Modern Transcripts for Historical Handwritten Text Recognition 
    Villegas, Mauricio; Toselli, Alejandro Héctor; Romero Gómez, Verónica; Vidal, Enrique (IEEE, 2016)
    [EN] Existing transcripts for historic manuscripts are a very valuable resource for training models useful for automatic recognition, aided transcription, and/or indexing of the remaining untranscribed parts of these ...
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    General Overview of ImageCLEF at the CLEF 2016 Labs 
    Villegas, Mauricio; Mueller, Henning; Seco de Herrera, Alba Garcia; Schaer, Roger; Bromuri, Stefano; Gilbert, Andrew; Piras, Luca; Wang, Josiah; Yan, Fei; Ramisa, Arnau; Dellandrea, Emmanuel; Gaizauskas, Robert; Mikolajczyk, Krystian; Puigcerver I Pérez, Joan; Toselli, Alejandro Héctor; Sánchez Peiró, Joan Andreu; Vidal Ruiz, Enrique (Springer Verlag (Germany), 2016)
    This paper presents an overview of the ImageCLEF 2016 evaluation campaign, an event that was organized as part of the CLEF (Conference and Labs of the Evaluation Forum) labs 2016. ImageCLEF is an ongoing initiative that ...
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    Ground-Truth production in the tranScriptorium Project 
    Gatos, Basilis; Louloudis, Georgios; Caser, Tim; Grint, Kris; Romero Gómez, Verónica; Sánchez Peiró, Joan Andreu; Toselli, Alejandro Héctor; Vidal, Enrique (IEEE Computer Society - Conference Publishing Services (CPS), 2014-04-07)
    Tran Scriptorium is a 3-years project that aims to develop innovative, cost-effective solutions for the indexing, search and full transcription of historical handwritten document images, using Handwritten Text Recognition ...
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    Handwritten Text Line Detection and Classification based on HMMs 
    Bosch Campos, Vicente (2012-11-28)
    [ES] En este trabajo presentamos una forma para realizar el análisis y la detección de líneas de texto en documentos manuscritos basada en los Modelos Ocultos de Markov, una técnica ampliamente utilizada en otras tareas ...
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    HMM word graph based keyword spotting in handwritten document images 
    Toselli, Alejandro Héctor; Vidal, Enrique; Romero, Verónica; Frinken, Volkmar (Elsevier, 2016)
    [EN] Line-level keyword spotting (KWS) is presented on the basis of frame-level word posterior probabilities. These posteriors are obtained using word graphs derived from the recogni- tion process of a full-fledged ...
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    ICFHR2014 Competition on Handwritten Text Recognition on tranScriptorium Datasets (HTRtS) 
    Sánchez Peiró, Joan Andreu; Romero Gómez, Verónica; Toselli, Alejandro Héctor; Vidal Ruiz, Enrique (IEEE, 2014-09-01)
    A contest on Handwritten Text Recognition organised in the context of the ICFHR 2014 conference is described. Two tracks with increased freedom on the use of training data were proposed and three research groups ...