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检索条件"机构=Statistical Visual Computing Laboratory"
19 条 记 录,以下是11-20 订阅
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Variable margin losses for classifier design  10
Variable margin losses for classifier design
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Annual Conference on Neural Information Processing Systems
作者: Hamed Masnadi-Shirazi Nuno Vasconcelos Statistical Visual Computing Laboratory University of California San Diego LaJollaCA 92039
The problem of controlling the margin of a classifier is studied. A detailed analytical study is presented on how properties of the classification risk, such as its optimal link and minimum risk functions, are related... 详细信息
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On the design of loss functions for classification: theory, robustness to outliers, and SavageBoost  08
On the design of loss functions for classification: theory, ...
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Proceedings of the 22nd International Conference on Neural Information Processing Systems
作者: Hamed Masnadi-Shirazi Nuno Vasconcelos Statistical Visual Computing Laboratory University of California San Diego La Jolla CA
The machine learning problem of classifier design is studied from the perspective of probability elicitation, in statistics. This shows that the standard approach of proceeding from the specification of a loss, to the...
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Boosting Classifier Cascades  10
Boosting Classifier Cascades
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Annual Conference on Neural Information Processing Systems
作者: Mohammad J. Saberian Nuno Vasconcelos Statistical Visual Computing Laboratory University of California San Diego La Jolla CA 92039
The problem of optimal and automatic design of a detector cascade is considered. A novel mathematical model is introduced for a cascaded detector. This model is analytically tractable, leads to recursive computation, ... 详细信息
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A biologically plausible network for the computation of orientation dominance  10
A biologically plausible network for the computation of orie...
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Annual Conference on Neural Information Processing Systems
作者: Kritika Muralidharan Nuno Vasconcelos Statistical Visual Computing Laboratory University of California San Diego La Jolla CA 92039
The determination of dominant orientation at a given image location is formulated as a decision-theoretic question. This leads to a novel measure for the dominance of a given orientation 9, which is similar to that us... 详细信息
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Scalable discriminant feature selection for image retrieval and recognition
Scalable discriminant feature selection for image retrieval ...
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Conference on Computer Vision and Pattern Recognition (CVPR)
作者: N. Vasconcelos M. Vasconcelos Statistical Visual Computing Laboratory University of California San Diego USA Harvard Robotics Laboratory Harvard University USA
Problems such as object recognition or image retrieval require feature selection (FS) algorithms that scale well enough to be applicable to databases containing large numbers of image classes and large amounts of data... 详细信息
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On the connections between saliency and tracking  12
On the connections between saliency and tracking
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Annual Conference on Neural Information Processing Systems
作者: Vijay Mahadevan Nuno Vasconcelos Yahoo! Labs Bangalore India Statistical Visual Computing Laboratory UC San Diego La Jolla CA 92092
A model connecting visual tracking and saliency has recently been proposed. This model is based on the saliency hypothesis for tracking which postulates that tracking is achieved by the top-down tuning, based on targe... 详细信息
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Boosting algorithms for detector cascade learning
The Journal of Machine Learning Research
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The Journal of Machine Learning Research 2014年 第1期15卷
作者: Kevin Murphy Bernhard Schölkopf Mohammad Saberian Nuno Vasconcelos Google Statistical Visual Computing Laboratory University of California San Diego La Jolla CA
The problem of learning classifier cascades is considered. A new cascade boosting algorithm, fast cascade boosting (FCBoost), is proposed. FCBoost is shown to have a number of interesting properties, namely that it 1)... 详细信息
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A view of margin losses as regularizers of probability estimates
The Journal of Machine Learning Research
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The Journal of Machine Learning Research 2015年 第1期16卷
作者: Hamed Masnadi-Shirazi Nuno Vasconcelos School of Electrical and Computer Engineering Shiraz University Shiraz Iran Statistical Visual Computing Laboratory University of California San Diego La Jolla CA
Regularization is commonly used in classifier design, to assure good generalization. Classical regularization enforces a cost on classifier complexity, by constraining parameters. This is usually combined with a margi... 详细信息
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26th Annual Computational Neuroscience Meeting (CNS*2017): Part 3 Antwerp, Belgium. 15-20 July 2017 Abstracts
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BMC NEUROSCIENCE 2017年 第SUPPL 1期18卷 95-176页
作者: [Anonymous] Department of Neuroscience Yale University New Haven CT 06520 USA Department Physiology & Pharmacology SUNY Downstate Brooklyn NY 11203 USA NYU School of Engineering 6 MetroTech Center Brooklyn NY 11201 USA Departament de Matemàtica Aplicada Universitat Politècnica de Catalunya Barcelona 08028 Spain Institut de Neurobiologie de la Méditerrannée (INMED) INSERM UMR901 Aix-Marseille Univ Marseille France Center of Neural Science New York University New York NY USA Aix-Marseille Univ INSERM INS Inst Neurosci Syst Marseille France Laboratoire de Physique Théorique et Modélisation CNRS UMR 8089 Université de Cergy-Pontoise 95300 Cergy-Pontoise Cedex France Department of Mathematics and Computer Science ENSAT Abdelmalek Essaadi’s University Tangier Morocco Laboratory of Natural Computation Department of Information and Electrical Engineering and Applied Mathematics University of Salerno 84084 Fisciano SA Italy Department of Medicine University of Salerno 84083 Lancusi SA Italy Dipartimento di Fisica Università degli Studi Aldo Moro Bari and INFN Sezione Di Bari Italy Data Analysis Department Ghent University Ghent Belgium Coma Science Group University of Liège Liège Belgium Cruces Hospital and Ikerbasque Research Center Bilbao Spain BIOtech Department of Industrial Engineering University of Trento and IRCS-PAT FBK 38010 Trento Italy Department of Data Analysis Ghent University Ghent 9000 Belgium The Wellcome Trust Centre for Neuroimaging University College London London WC1N 3BG UK Department of Electronic Engineering NED University of Engineering and Technology Karachi Pakistan Blue Brain Project École Polytechnique Fédérale de Lausanne Lausanne Switzerland Departement of Mathematics Swansea University Swansea Wales UK Laboratory for Topology and Neuroscience at the Brain Mind Institute École polytechnique fédérale de Lausanne Lausanne Switzerland Institute of Mathematics University of Aberdeen Aberdeen Scotland UK Department of Integrativ
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