Unsupervised learning

Results: 431



#Item
81arXiv:1402.3337v2 [stat.ML] 10 NovZero-bias autoencoders and the benefits of co-adapting features  Roland Memisevic

arXiv:1402.3337v2 [stat.ML] 10 NovZero-bias autoencoders and the benefits of co-adapting features Roland Memisevic

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Source URL: arxiv.org

Language: English - Date: 2014-11-11 20:54:00
82Dynamic Texture Recognition via Orthogonal Tensor Dictionary Learning Yuhui Quan1 , Yan Huang2 , Hui Ji1 1 2

Dynamic Texture Recognition via Orthogonal Tensor Dictionary Learning Yuhui Quan1 , Yan Huang2 , Hui Ji1 1 2

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Source URL: www.cv-foundation.org

Language: English
83Distributed Compression of Stereoscopic Images with Unsupervised Learning of Disparity David Varodayan and Aditya Mavlankar Information Systems Laboratory, Department of Electrical Engineering Stanford University, Stanfo

Distributed Compression of Stereoscopic Images with Unsupervised Learning of Disparity David Varodayan and Aditya Mavlankar Information Systems Laboratory, Department of Electrical Engineering Stanford University, Stanfo

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Source URL: cs229.stanford.edu

Language: English - Date: 2011-09-14 20:33:04
    84Painless Unsupervised Learning with Features Taylor Berg-Kirkpatrick Alexandre Bouchard-Cˆot´e John DeNero Computer Science Division University of California at Berkeley

    Painless Unsupervised Learning with Features Taylor Berg-Kirkpatrick Alexandre Bouchard-Cˆot´e John DeNero Computer Science Division University of California at Berkeley

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    Source URL: www.denero.org

    Language: English
      85LOCUS: Learning Object Classes with Unsupervised Segmentation J. Winn N. Jojic  Microsoft Research, Cambridge, UK

      LOCUS: Learning Object Classes with Unsupervised Segmentation J. Winn N. Jojic Microsoft Research, Cambridge, UK

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      Source URL: www.johnwinn.org

      Language: English - Date: 2005-07-21 11:11:58
        86Local Convolutional Features with Unsupervised Training for Image Retrieval Mattis Paulin 1 Julien Mairal1 1  Inria ∗

        Local Convolutional Features with Unsupervised Training for Image Retrieval Mattis Paulin 1 Julien Mairal1 1 Inria ∗

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        Source URL: www.cv-foundation.org

        Language: English - Date: 2015-10-24 14:55:25
        87Nonlinear Extensions of Reconstruction ICA Apaar Sadhwani and Apoorv Gupta CS229 Project Report, Fall 2011 Abstract— In a recent paper [1] it was observed that unsupervised feature learning with overcomplete features c

        Nonlinear Extensions of Reconstruction ICA Apaar Sadhwani and Apoorv Gupta CS229 Project Report, Fall 2011 Abstract— In a recent paper [1] it was observed that unsupervised feature learning with overcomplete features c

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        Source URL: cs229.stanford.edu

        Language: English - Date: 2012-01-24 22:54:15
          88On spatio-temporal feature learning Roland Memisevic Department of Computer Science, University of Frankfurt  Unsupervised feature learning and sparse coding have recently gained attention in the vi

          On spatio-temporal feature learning Roland Memisevic Department of Computer Science, University of Frankfurt Unsupervised feature learning and sparse coding have recently gained attention in the vi

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          Source URL: snowbird.djvuzone.org

          Language: English - Date: 2012-02-14 14:23:35
            89ROBERTO BATTITI, MAURO BRUNATO. The LION Way: Machine Learning plus Intelligent Optimization. LIONlab, University of Trento, Italy, Apr 2015 http://intelligentoptimization.org/LIONbook

            ROBERTO BATTITI, MAURO BRUNATO. The LION Way: Machine Learning plus Intelligent Optimization. LIONlab, University of Trento, Italy, Apr 2015 http://intelligentoptimization.org/LIONbook

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            Source URL: intelligent-optimization.org

            Language: English - Date: 2015-10-06 09:20:21
            90First Result of Simulating Traffic Behaviours Using Distributed Adaptive Control Ming LU Kay W. Axhausen Junlong LI  IVT, ETH Zurich

            First Result of Simulating Traffic Behaviours Using Distributed Adaptive Control Ming LU Kay W. Axhausen Junlong LI IVT, ETH Zurich

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            Source URL: www.strc.ch

            Language: English - Date: 2013-05-17 10:58:45