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Author (down) 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
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 (down) Matthias S. Keil; Jordi Vitria
Title Does the brain generate representations of smooth brightness gradients? A novel account for Mach bands, Chevreul’s illusion, and a variant of the Ehrenstein disk Type Journal
Year 2005 Publication Perception 34:209–210 Suppl. S (IF: 1.391) Abbreviated Journal
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Notes OR;MV Approved no
Call Number BCNPCL @ bcnpcl @ KeV2005a Serial 608
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Author (down) Matthias S. Keil; Jordi Vitria
Title Pushing it to the Limit: Adaptation with Dynamically Switching Gain Control Type Journal
Year 2007 Publication EURASIP Journal on Advances in Signal Processing, Vol 2007, Article ID 51684, 10 pages, doi: 10.1155/2007/51684 Abbreviated Journal
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Notes OR;MV Approved no
Call Number BCNPCL @ bcnpcl @ KeV2007 Serial 794
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Author (down) Matthias S. Keil; Gabriel Cristobal; Thorsten Hansen; Heiko Neumann
Title Recovering real-world images from single-scale boundaries with a novel filling-in architecture Type Journal
Year 2005 Publication Neural Networks 18(10):1319–1331 (IF: 1.665) Abbreviated Journal
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Notes Approved no
Call Number Admin @ si @ KCH2005 Serial 576
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Author (down) Matthias S. Keil; Gabriel Cristobal; Heiko Neumann
Title Gradient representation and perception in the early visual system – A novel account of Mach band formation Type Journal
Year 2006 Publication Vision Research, 46(17): 2659–2674 Abbreviated Journal VR
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Notes Approved no
Call Number Admin @ si @ KCN2006 Serial 649
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Author (down) Matthias S. Keil; Gabriel Cristobal
Title Separating the chaff from the wheat: possible origins of the oblique effect Type Journal
Year 2000 Publication Journal of the Optical Society of America A – Optics, Image Science, and Vision, 17(4): 697–710 (IF: 1.481) Abbreviated Journal
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Notes Approved no
Call Number Admin @ si @ KeC2000 Serial 630
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Author (down) Matthias S. Keil; Agata Lapedriza; David Masip; Jordi Vitria
Title Preferred Spatial Frequencies for Human Face Processing Are Associated with Optimal Class Discrimination in the Machine Type Journal
Year 2008 Publication PLoS ONE 3(7):e2590, DOI:10.1371/journal.pone.0002590 Abbreviated Journal
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Notes OR;MV Approved no
Call Number BCNPCL @ bcnpcl @ KLM2008 Serial 978
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Author (down) Matthias S. Keil
Title Smooth Gradient Representations as a Unifying Account of Chevreul’s Illusion, Mach Bands, and a Variant of the Ehrenstein Disk Type Journal
Year 2006 Publication Neural Computation Abbreviated Journal NEURALCOMPUT
Volume 18 Issue 4 Pages 871–903
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Notes Approved no
Call Number Admin @ si @ Kei2006 Serial 633
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Author (down) Mariella Dimiccoli
Title Fundamentals of cone regression Type Journal
Year 2016 Publication Journal of Statistics Surveys Abbreviated Journal
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 (down) Maria Vanrell; Ramon Baldrich; Anna Salvatella; Robert Benavente; Francesc Tous
Title Induction operators for a computational colour-texture representation Type Journal
Year 2004 Publication Computer Vision and Image Understanding, 94(1–3):92–114, ISSN: 1077–3142 (IF: 0.651) Abbreviated Journal
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Notes CIC Approved no
Call Number CAT @ cat @ VBS2004 Serial 453
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Author (down) Maria Vanrell; Jordi Vitria
Title Optimal 3x3 decomposable disks for morphological transformations Type Journal
Year 1997 Publication Image and Vision Computing, 15(2): 845–854 Abbreviated Journal
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Notes OR;CIC;MV Approved no
Call Number BCNPCL @ bcnpcl @ VaV1997c Serial 543
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Author (down) 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
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 (down) Marc Sunset Perez; Marc Comino Trinidad; Dimosthenis Karatzas; Antonio Chica Calaf; Pere Pau Vazquez Alcocer
Title Development of general‐purpose projection‐based augmented reality systems Type Journal
Year 2016 Publication IADIs international journal on computer science and information systems Abbreviated Journal IADIs
Volume 11 Issue 2 Pages 1-18
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Abstract Despite the large amount of methods and applications of augmented reality, there is little homogenizatio n on the software platforms that support them. An exception may be the low level control software that is provided by some high profile vendors such as Qualcomm and Metaio. However, these provide fine grain modules for e.g. element tracking. We are more co ncerned on the application framework, that includes the control of the devices working together for the development of the AR experience. In this paper we describe the development of a software framework for AR setups. We concentrate on the modular design of the framework, but also on some hard problems such as the calibration stage, crucial for projection – based AR. The developed framework is suitable and has been tested in AR applications using camera – projector pairs, for both fixed and nomadic setups
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Notes DAG; 600.084 Approved no
Call Number Admin @ si @ SCK2016 Serial 2890
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Author (down) Marçal Rusiñol; R.Roset; Josep Llados; C.Montaner
Title Automatic Index Generation of Digitized Map Series by Coordinate Extraction and Interpretation Type Journal
Year 2011 Publication e-Perimetron Abbreviated Journal ePER
Volume 6 Issue 4 Pages 219-229
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Abstract By means of computer vision algorithms scanned images of maps are processed in order to extract relevant geographic information from printed coordinate pairs. The meaningful information is then transformed into georeferencing information for each single map sheet, and the complete set is compiled to produce a graphical index sheet for the map series along with relevant metadata. The whole process is fully automated and trained to attain maximum effectivity and throughput.
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Notes DAG Approved no
Call Number Admin @ si @ RRL2011a Serial 1765
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Author (down) 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
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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