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Author Joaquin Salas; Wendy Avalos; Rafael Castañeda; Mario Maya
Title A machine-vision system to measure the parameters describing the performance of a Foucault pendulum Type Journal
Year 2006 Publication Machine Vision and Applications Abbreviated Journal
Volume 17 Issue 2 Pages 133–138
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Notes Approved no
Call Number Admin @ si @ SAC2006 Serial 644
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Author J. Nuñez; Xavier Otazu; M.T. Merino
Title A Multiresolution-Based Method for the Determination of the Relative Resolution between Images. First Application to Remote Sensing and Medical Images Type Journal
Year 2005 Publication International Journal of Imaging Systems and Technology, 15(5): 225–235 (IF: 0.439) Abbreviated Journal
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Notes CIC Approved no
Call Number CAT @ cat @ NOM2005 Serial 645
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Author Oriol Pujol; Petia Radeva; Jordi Vitria
Title Discriminant ECOC: A Heuristic Method for Application Dependent Design of Error Correcting Output Codes Type Journal
Year 2006 Publication IEEE Transactions on Pattern Analysis and Machine Intelligence, 28(6): 1007–1012 Abbreviated Journal
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Notes OR;MILAB;HuPBA;MV Approved no
Call Number BCNPCL @ bcnpcl @ PRV2006a Serial 646
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Author Fernando Vilariño; Ludmila I. Kuncheva; Petia Radeva
Title ROC curves and video analysis optimization in intestinal capsule endoscopy Type Journal Article
Year 2006 Publication Pattern Recognition Letters Abbreviated Journal PRL
Volume 27 Issue 8 Pages 875–881
Keywords ROC curves; Classification; Classifiers ensemble; Detection of intestinal contractions; Imbalanced classes; Wireless capsule endoscopy
Abstract Wireless capsule endoscopy involves inspection of hours of video material by a highly qualified professional. Time episodes corresponding to intestinal contractions, which are of interest to the physician constitute about 1% of the video. The problem is to label automatically time episodes containing contractions so that only a fraction of the video needs inspection. As the classes of contraction and non-contraction images in the video are largely imbalanced, ROC curves are used to optimize the trade-off between false positive and false negative rates. Classifier ensemble methods and simple classifiers were examined. Our results reinforce the claims from recent literature that classifier ensemble methods specifically designed for imbalanced problems have substantial advantages over simple classifiers and standard classifier ensembles. By using ROC curves with the bagging ensemble method the inspection time can be drastically reduced at the expense of a small fraction of missed contractions.
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Notes MILAB;MV;SIAI Approved no
Call Number BCNPCL @ bcnpcl @ VKR2006; IAM @ iam @ VKR2006 Serial 647
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Author 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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Call Number Admin @ si @ KCN2006 Serial 649
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Author Anonymous
Title A Low Computational-Cost Method to Fuse IKONOS Images Using the Spectral Response Function of Its Sensors Type Journal
Year 2006 Publication IEEE Transactions on Geoscience and Remote Sensing, 44(6): 1683–1691 Abbreviated Journal
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Notes Approved no
Call Number CAT @ cat @ GOF2006 Serial 650
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Author Shigang Yue; F. Claire Rind; Matthias S. Keil; Jorge Cuadri; Richard Stafford
Title A bio-inspired visual collision detection mechanism for cars: Optimisation of a model of a locust neuron to a novel environment Type Journal
Year 2006 Publication Neurocomputing 69(13–15): 1591–1598 Abbreviated Journal
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Notes Approved no
Call Number Admin @ si @ YRK2006 Serial 652
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Author Angel Sappa; David Geronimo; Fadi Dornaika; Antonio Lopez
Title On-board camera extrinsic parameter estimation Type Journal Article
Year 2006 Publication Electronics Letters Abbreviated Journal EL
Volume 42 Issue 13 Pages 745–746
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Abstract An efficient technique for real-time estimation of camera extrinsic parameters is presented. It is intended to be used on on-board vision systems for driving assistance applications. The proposed technique is based on the use of a commercial stereo vision system that does not need any visual feature extraction.
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Publisher IEE Place of Publication Editor
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Notes ADAS Approved no
Call Number ADAS @ adas @ SGD2006a Serial 655
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Author Xavier Otazu; Oriol Pujol
Title Wavelet based approach to cluster analysis. Application on low dimensional data sets Type Journal Article
Year 2006 Publication Pattern Recognition Letters Abbreviated Journal PRL
Volume 27 Issue 14 Pages 1590–1605
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Notes MILAB; CIC; HuPBA Approved no
Call Number BCNPCL @ bcnpcl @ OtP2006 Serial 658
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Author J. Nuñez; O. Fors; Xavier Otazu; Vicenç Pala; Roman Arbiol; M.T. Merino
Title A Wavelet-Based Method for the Determination of the Relative Resolution Between Remotely Sensed Images Type Journal
Year 2006 Publication IEEE Transactions on Geoscience and Remote Sensing, 44(9): 2539–2548 Abbreviated Journal
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Notes CIC Approved no
Call Number CAT @ cat @ NFO2006 Serial 660
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Author Angel Sappa; David Geronimo; Fadi Dornaika; Antonio Lopez
Title Real Time Vehicle Pose Using On-Board Stereo Vision System Type Conference Article
Year 2006 Publication International Conference on Image Analysis and Recognition Abbreviated Journal ICIAR
Volume Issue LNCS 4142 Pages 205–216
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Abstract This paper presents a robust technique for a real time estimation of both camera’s position and orientation—referred as pose. A commercial stereo vision system is used. Unlike previous approaches, it can be used either for urban or highway scenarios. The proposed technique consists of two stages. Initially, a compact 2D representation of the original 3D data points is computed. Then, a RANSAC based least squares approach is used for fitting a plane to the road. At the same time,
relative camera’s position and orientation are computed. The proposed technique is intended to be used on a driving assistance scheme for applications such as obstacle or pedestrian detection. Experimental results on urban environments with different road geometries are presented.
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Notes ADAS Approved no
Call Number ADAS @ adas @ SGD2006b Serial 671
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Author V. Kober; Mikhail Mozerov; J. Alvarez-Borrego; I.A. Ovseyevich
Title Adaptive Correlation Filters for Pattern Recognition Type Journal
Year 2006 Publication Pattern Recognition and Image Analysis Abbreviated Journal
Volume 16 Issue 3 Pages 425-431
Keywords Pattern recognition, Correlation filters, A adaptive filters
Abstract Adaptive correlation filters based on synthetic discriminant functions (SDFs) for reliable pattern recognition are proposed. A given value of discrimination capability can be achieved by adapting a SDF filter to the input scene. This can be done by iterative training. Computer simulation results obtained with the proposed filters are compared with those of various correlation filters in terms of recognition performance.
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Notes ISE Approved no
Call Number ISE @ ise @ KMA2006a Serial 673
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Author Mikhail Mozerov; V. Kober
Title Impulse Noise Removal with Gradient Adaptive Neighborhoods Type Journal
Year 2006 Publication Optical Engineering, 45: 67003 Abbreviated Journal
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Notes ISE Approved no
Call Number ISE @ ise @ MoK2006 Serial 676
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Author E. Pastor; A. Agueda; Juan Andrade; M. Muñoz; Y. Perez; E. Planas
Title Computing the rate of spread of linear flame fronts by thermal image processing Type Journal
Year 2006 Publication Fire Safety Journal, 41(8):569–579 Abbreviated Journal
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Call Number Admin @ si @ PAA2006 Serial 679
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Author Jaume Amores
Title Multiple Instance Classification: review, taxonomy and comparative study Type Journal Article
Year 2013 Publication Artificial Intelligence Abbreviated Journal AI
Volume 201 Issue Pages 81-105
Keywords Multi-instance learning; Codebook; Bag-of-Words
Abstract Multiple Instance Learning (MIL) has become an important topic in the pattern recognition community, and many solutions to this problemhave been proposed until now. Despite this fact, there is a lack of comparative studies that shed light into the characteristics and behavior of the different methods. In this work we provide such an analysis focused on the classification task (i.e.,leaving out other learning tasks such as regression). In order to perform our study, we implemented
fourteen methods grouped into three different families. We analyze the performance of the approaches across a variety of well-known databases, and we also study their behavior in synthetic scenarios in order to highlight their characteristics. As a result of this analysis, we conclude that methods that extract global bag-level information show a clearly superior performance in general. In this sense, the analysis permits us to understand why some types of methods are more successful than others, and it permits us to establish guidelines in the design of new MIL
methods.
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Publisher Elsevier Science Publishers Ltd. Essex, UK Place of Publication Editor
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Series Editor Series Title Abbreviated Series Title
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ISSN 0004-3702 ISBN Medium
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Notes ADAS; 601.042; 600.057 Approved no
Call Number Admin @ si @ Amo2013 Serial 2273
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