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Author Hugo Berti; Angel Sappa; Osvaldo Agamennoni
Title Improved Dynamic Window Approach by Using Lyapunov Stability Criteria Type Journal
Year 2008 Publication Latin American Applied Research Abbreviated Journal (up)
Volume 38 Issue 4 Pages 289–298
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Notes ADAS Approved no
Call Number ADAS @ adas @ BSA2008 Serial 1056
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Author Fadi Dornaika; Bogdan Raducanu
Title 3D Face Pose Detection and Tracking Using Monocular Videos: Tool and Application Type Journal
Year 2008 Publication IEEE Transactions on Systems, Man and Cybernetics (Part B) (IEEE) Abbreviated Journal (up)
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Notes OR;MV Approved no
Call Number BCNPCL @ bcnpcl @ DoR2008d Serial 1109
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Author Josep Llados; Dimosthenis Karatzas; Joan Mas; Gemma Sanchez
Title A Generic Architecture for the Conversion of Document Collections into Semantically Annotated Digital Archives Type Journal
Year 2008 Publication Journal of Universal Computer Science Abbreviated Journal (up)
Volume 14 Issue 18 Pages 2912–2935
Keywords Median Graph, Graph Embedding, Graph Matching, Structural Pattern Recognition
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Notes DAG Approved no
Call Number DAG @ dag @ LKM2008 Serial 1142
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Author Mikhail Mozerov; Ariel Amato; Xavier Roca; Jordi Gonzalez
Title Solving the Multi Object Occlusion Problem in a Multiple Camera Tracking System Type Journal
Year 2009 Publication Pattern Recognition and Image Analysis Abbreviated Journal (up)
Volume 19 Issue 1 Pages 165-171
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Abstract An efficient method to overcome adverse effects of occlusion upon object tracking is presented. The method is based on matching paths of objects in time and solves a complex occlusion-caused problem of merging separate segments of the same path.
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ISSN 1054-6618 ISBN Medium
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Notes ISE Approved no
Call Number ISE @ ise @ MAR2009a Serial 1160
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Author Angel Sappa; M.A. Garcia
Title Aprendiendo a recrear la realidad en 3D Type Journal
Year 2007 Publication UAB Divulga, Revista de Divulgacion Cientifica Abbreviated Journal (up)
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Notes spreading Approved no
Call Number ADAS @ adas @ SaG2007c Serial 1470
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Author Joan Serrat; Ferran Diego; Felipe Lumbreras
Title Los faros delanteros a traves del objetivo Type Journal
Year 2008 Publication UAB Divulga, Revista de divulgacion cientifica Abbreviated Journal (up)
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Notes ADAS Approved no
Call Number ADAS @ adas @ SDL2008b Serial 1471
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Author Carme Julia; Angel Sappa; Felipe Lumbreras
Title Aprendiendo a recrear la realidad en 3D Type Journal
Year 2008 Publication UAB Divulga, Revista de divulgacion cientifica Abbreviated Journal (up)
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Notes spreading;ADAS Approved no
Call Number ADAS @ adas @ JSL2008b Serial 1472
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Author G.Thorvaldsen; Joana Maria Pujadas-Mora; T.Andersen ; L.Eikvil; Josep Llados; Alicia Fornes; Anna Cabre
Title A Tale of two Transcriptions Type Journal
Year 2015 Publication Historical Life Course Studies Abbreviated Journal (up)
Volume 2 Issue Pages 1-19
Keywords Nominative Sources; Census; Vital Records; Computer Vision; Optical Character Recognition; Word Spotting
Abstract non-indexed
This article explains how two projects implement semi-automated transcription routines: for census sheets in Norway and marriage protocols from Barcelona. The Spanish system was created to transcribe the marriage license books from 1451 to 1905 for the Barcelona area; one of the world’s longest series of preserved vital records. Thus, in the Project “Five Centuries of Marriages” (5CofM) at the Autonomous University of Barcelona’s Center for Demographic Studies, the Barcelona Historical Marriage Database has been built. More than 600,000 records were transcribed by 150 transcribers working online. The Norwegian material is cross-sectional as it is the 1891 census, recorded on one sheet per person. This format and the underlining of keywords for several variables made it more feasible to semi-automate data entry than when many persons are listed on the same page. While Optical Character Recognition (OCR) for printed text is scientifically mature, computer vision research is now focused on more difficult problems such as handwriting recognition. In the marriage project, document analysis methods have been proposed to automatically recognize the marriage licenses. Fully automatic recognition is still a challenge, but some promising results have been obtained. In Spain, Norway and elsewhere the source material is available as scanned pictures on the Internet, opening up the possibility for further international cooperation concerning automating the transcription of historic source materials. Like what is being done in projects to digitize printed materials, the optimal solution is likely to be a combination of manual transcription and machine-assisted recognition also for hand-written sources.
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ISSN 2352-6343 ISBN Medium
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Notes DAG; 600.077; 602.006 Approved no
Call Number Admin @ si @ TPA2015 Serial 2582
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Author Mariella Dimiccoli
Title Fundamentals of cone regression Type Journal
Year 2016 Publication Journal of Statistics Surveys Abbreviated Journal (up)
Volume 10 Issue Pages 53-99
Keywords cone regression; linear complementarity problems; proximal operators.
Abstract Cone regression is a particular case of quadratic programming that minimizes a weighted sum of squared residuals under a set of linear inequality constraints. Several important statistical problems such as isotonic, concave regression or ANOVA under partial orderings, just to name a few, can be considered as particular instances of the cone regression problem. Given its relevance in Statistics, this paper aims to address the fundamentals of cone regression from a theoretical and practical point of view. Several formulations of the cone regression problem are considered and, focusing on the particular case of concave regression as an example, several algorithms are analyzed and compared both qualitatively and quantitatively through numerical simulations. Several improvements to enhance numerical stability and bound the computational cost are proposed. For each analyzed algorithm, the pseudo-code and its corresponding code in Matlab are provided. The results from this study demonstrate that the choice of the optimization approach strongly impacts the numerical performances. It is also shown that methods are not currently available to solve efficiently cone regression problems with large dimension (more than many thousands of points). We suggest further research to fill this gap by exploiting and adapting classical multi-scale strategy to compute an approximate solution.
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ISSN 1935-7516 ISBN Medium
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Notes MILAB; Approved no
Call Number Admin @ si @Dim2016a Serial 2783
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Author Maria Salamo; Inmaculada Rodriguez; Maite Lopez; Anna Puig; Simone Balocco; Mariona Taule
Title Recurso docente para la atención de la diversidad en el aula mediante la predicción de notas Type Journal
Year 2016 Publication ReVision Abbreviated Journal (up)
Volume 9 Issue 1 Pages
Keywords Aprendizaje automatico; Sistema de prediccion de notas; Herramienta docente
Abstract Desde la implantación del Espacio Europeo de Educación Superior (EEES) en los diferentes grados, se ha puesto de manifiesto la necesidad de utilizar diversos mecanismos que permitan tratar la diversidad en el aula, evaluando automáticamente y proporcionando una retroalimentación rápida tanto al alumnado como al profesorado sobre la evolución de los alumnos en una asignatura. En este artículo se presenta la evaluación de la exactitud en las predicciones de GRADEFORESEER, un recurso docente para la predicción de notas basado en técnicas de aprendizaje automático que permite evaluar la evolución del alumnado y estimar su nota final al terminar el curso. Este recurso se ha complementado con una interfaz de usuario para el profesorado que puede ser usada en diferentes plataformas software (sistemas operativos) y en cualquier asignatura de un grado en la que se utilice evaluación continuada. Además de la descripción del recurso, este artículo presenta los resultados obtenidos al aplicar el sistema de predicción en cuatro asignaturas de disciplinas distintas: Programación I (PI), Diseño de Software (DSW) del grado de Ingeniería Informática, Tecnologías de la Información y la Comunicación (TIC) del grado de Lingüística y la asignatura Fundamentos de Tecnología (FDT) del grado de Información y Documentación, todas ellas impartidas en la Universidad de Barcelona.

La capacidad predictiva se ha evaluado de forma binaria (aprueba o no) y según un criterio de rango (suspenso, aprobado, notable o sobresaliente), obteniendo mejores predicciones en los resultados evaluados de forma binaria.
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Notes MILAB; Approved no
Call Number Admin @ si @ SRL2016 Serial 2820
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Author Alicia Fornes; Josep Llados; Oriol Ramos Terrades; Marçal Rusiñol
Title La Visió per Computador com a Eina per a la Interpretació Automàtica de Fonts Documentals Type Journal
Year 2016 Publication Lligall, Revista Catalana d'Arxivística Abbreviated Journal (up)
Volume 39 Issue Pages 20-46
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Notes DAG; 600.097 Approved no
Call Number Admin @ si @ FLR2016 Serial 2897
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Author Fernando Vilariño; Dimosthenis Karatzas; Alberto Valcarce
Title The Library Living Lab Barcelona: A participative approach to technology as an enabling factor for innovation in cultural spaces Type Journal
Year 2018 Publication Technology Innovation Management Review Abbreviated Journal (up)
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Notes DAG; MV; 600.097; 600.121; 600.129;SIAI Approved no
Call Number Admin @ si @ VKV2018a Serial 3153
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Author L. Rothacker; Marçal Rusiñol; Josep Llados; G.A. Fink
Title A Two-stage Approach to Segmentation-Free Query-by-example Word Spotting Type Journal
Year 2014 Publication Manuscript Cultures Abbreviated Journal (up)
Volume 7 Issue Pages 47-58
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Abstract With the ongoing progress in digitization, huge document collections and archives have become available to a broad audience. Scanned document images can be transmitted electronically and studied simultaneously throughout the world. While this is very beneficial, it is often impossible to perform automated searches on these document collections. Optical character recognition usually fails when it comes to handwritten or historic documents. In order to address the need for exploring document collections rapidly, researchers are working on word spotting. In query-by-example word spotting scenarios, the user selects an exemplary occurrence of the query word in a document image. The word spotting system then retrieves all regions in the collection that are visually similar to the given example of the query word. The best matching regions are presented to the user and no actual transcription is required.
An important property of a word spotting system is the computational speed with which queries can be executed. In our previous work, we presented a relatively slow but high-precision method. In the present work, we will extend this baseline system to an integrated two-stage approach. In a coarse-grained first stage, we will filter document images efficiently in order to identify regions that are likely to contain the query word. In the fine-grained second stage, these regions will be analyzed with our previously presented high-precision method. Finally, we will report recognition results and query times for the well-known George Washington
benchmark in our evaluation. We achieve state-of-the-art recognition results while the query times can be reduced to 50% in comparison with our baseline.
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Notes DAG; 600.061; 600.077 Approved no
Call Number Admin @ si @ Serial 3190
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Author Ester Fornells; Manuel De Armas; Maria Teresa Anguera; Sergio Escalera; Marcos Antonio Catalán; Josep Moya
Title Desarrollo del proyecto del Consell Comarcal del Baix Llobregat “Buen Trato a las personas mayores y aquellas en situación de fragilidad con sufrimiento emocional: Hacia un envejecimiento saludable” Type Journal
Year 2018 Publication Informaciones Psiquiatricas Abbreviated Journal (up)
Volume 232 Issue Pages 47-59
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ISSN 0210-7279 ISBN Medium
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Notes HUPBA; no menciona Approved no
Call Number Admin @ si @ FAA2018 Serial 3214
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Author Marçal Rusiñol; Lluis Gomez
Title Avances en clasificación de imágenes en los últimos diez años. Perspectivas y limitaciones en el ámbito de archivos fotográficos históricos Type Journal
Year 2018 Publication Revista anual de la Asociación de Archiveros de Castilla y León Abbreviated Journal (up)
Volume 21 Issue Pages 161-174
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Notes DAG; 600.121; 600.129 Approved no
Call Number Admin @ si @ RuG2018 Serial 3239
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