Feature learning

Results: 920



#Item
281

Category: Learning Algorithms Preference: Oral Large-Scale Spike-and-Slab Sparse Coding for Unsupervised Feature Discovery

Add to Reading List

Source URL: snowbird.djvuzone.org

Language: English - Date: 2012-02-14 21:01:17
    282Learning / Machine learning / Statistics / Statistical classification / Support vector machine / Model selection / Surface-enhanced laser desorption/ionization / Feature selection / Mass spectrometry / Kernel method / Ovarian cancer

    Genome Informatics 16(2): 195–Diagnosis of Early Relapse in Ovarian Cancer Using Serum Proteomic Profiling

    Add to Reading List

    Source URL: www.jsbi.org

    Language: English - Date: 2005-12-28 06:18:56
    283Feature detection / Machine learning / Ensemble learning / Statistical classification / Histogram of oriented gradients / Support vector machine / AdaBoost / Pattern recognition / Classifier / Edge detection / Pedestrian detection

    High-Level Fusion of Depth and Intensity for Pedestrian Classification Marcus Rohrbach1,3 , Markus Enzweiler2 and Dariu M. Gavrila1,4 1 Environment Perception, Group Research, Daimler AG, Ulm, Germany

    Add to Reading List

    Source URL: dl.dropboxusercontent.com

    Language: English
    284

    Learning Circle: Dates of Meetings, CREC1800hrs These sessions are flexible and will feature short inputs from CP, TB and those who indicate that wish to contribute, followed by discussion. 18th November 2008

    Add to Reading List

    Source URL: www.crec.co.uk

      285Computer vision / Artificial intelligence / Ensemble learning / Vision / Feature detection / Pedestrian detection / Surveillance / Catadioptric system / Cascade Framework / Boosting / AdaBoost / Speeded up robust features

      PDF Document

      Add to Reading List

      Source URL: dl.dropboxusercontent.com

      Language: English
      286Image processing / Feature detection / Machine learning / Advanced driver assistance systems / Pedestrian detection / Surveillance / Conference on Computer Vision and Pattern Recognition / Computer vision / K-nearest neighbors algorithm / Pattern recognition / Edge detection / Stereophonic sound

      PDF Document

      Add to Reading List

      Source URL: dl.dropboxusercontent.com

      Language: English
      287Dimension reduction / Model selection / Computer vision / Feature selection / Support vector machine / Kernel methods / Feature extraction / Training set / Cross-validation / Statistics / Machine learning / Artificial intelligence

      An Introduction to Feature Extraction Isabelle Guyon1 and Andr´e Elisseeff2 1 2 ClopiNet, 955 Creston Rd., Berkeley, CA 94708, USA.

      Add to Reading List

      Source URL: clopinet.com

      Language: English - Date: 2006-10-19 12:27:10
      288Statistics / Face recognition / Computer vision / Automatic identification and data capture / Machine learning / Facial recognition system / Dynamic time warping / Face / Feature vector / Image processing / Mathematics / Artificial intelligence

      (C) In the proceedings of the ``European Conf. on Multimedia Applications, Services and Techniques - ECMAST; Louvain-la-Neuve, 28-30 May, 1996'' Multi-modal person veri cation tools using speech and images M. Acheroy

      Add to Reading List

      Source URL: stephanepigeon.com

      Language: English - Date: 2013-06-12 04:54:42
      289Multivariate statistics / Model selection / Brain / Linear discriminant analysis / Sulcus / Linear classifier / Cross-validation / Feature selection / Support vector machine / Statistics / Machine learning / Statistical classification

      IEEE TRANSACTIONS ON MEDICAL IMAGING, VOL. 26, NO. 4, APRILClassification Based on Cortical Folding Patterns Edouard Duchesnay*, Arnaud Cachia, Alexis Roche, Denis Rivière, Yann Cointepas,

      Add to Reading List

      Source URL: brainvisa.info

      Language: English - Date: 2012-12-13 03:57:45
      290Neural networks / Learning / Statistical classification / Pattern recognition / Supervised learning / Autoencoder / Unsupervised learning / Caltech 101 / Support vector machine / Machine learning / Statistics / Artificial intelligence

      Unsupervised Learning of Invariant Feature Hierarchies with Applications to Object Recognition Marc’Aurelio Ranzato, Fu Jie Huang, Y-Lan Boureau, Yann LeCun Courant Institute of Mathematical Sciences, New York Universi

      Add to Reading List

      Source URL: www.cs.toronto.edu

      Language: English - Date: 2009-08-08 18:43:08
      UPDATE