Feature learning

Results: 920



#Item
541Computing / Machine learning / Computer vision / Feature extraction / Weka / MATLAB / Feature selection / Statistical classification / Software / Statistics / Dimension reduction

USER GUIDE Augsburg Biosignal Toolbox (AuBT) University of Augsburg Johannes Wagner

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Source URL: hcm-lab.de

Language: English - Date: 2008-02-27 17:10:25
542Statistical theory / Categorical data / Regression analysis / Maximum likelihood / Feature selection / Logistic regression / Likelihood function / Gibbs sampling / Expectation–maximization algorithm / Statistics / Estimation theory / M-estimators

On Learning Discrete Graphical Models Using Greedy Methods Christopher C. Johnson University of Texas at Asutin [removed]

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Source URL: www.cs.utexas.edu

Language: English - Date: 2011-10-28 19:06:37
543Imaging / Optics / Object recognition / Segmentation / LabelMe / Feature / Caltech 101 / One-shot learning / Computer vision / Vision / Image processing

Int J Comput Vis DOI[removed]s11263[removed]x Object Bank: An Object-Level Image Representation for High-Level Visual Recognition Li-Jia Li · Hao Su · Yongwhan Lim · Li Fei-Fei

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Source URL: vision.stanford.edu

Language: English - Date: 2013-11-09 20:02:39
544Data mining / Machine learning / Multivariate statistics / Analysis of algorithms / Asymptotic analysis / Trigonometric functions / Cluster analysis / Algorithm / Function / Mathematics / Mathematical analysis / Statistics

Scaling Feature Based Mathematical Search Engine for Real-World Document Sets Jozef Miˇsutka1 Department of Software Engineering, Charles University in Prague [removed]

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Source URL: ceur-ws.org

Language: English - Date: 2013-07-06 08:54:02
545Gene expression / Econometrics / Machine learning / Regularization / Elastic net regularization / Lasso / KEGG / Feature selection / Ridge / Statistics / Regression analysis / Systems biology

Microsoft Word - SGSR_jis_jg.docx

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Source URL: psb.stanford.edu

Language: English - Date: 2014-11-06 13:43:09
546One-shot learning / Shape context / Scale space / Part-based models / LabelMe / Object recognition / Pose / Linear classifier / Supervised learning / Computer vision / Vision / Imaging

Object Bank: A High-Level Image Representation for Scene Classification & Semantic Feature Sparsification Li-Jia Li*1 , Hao Su*1 , Eric P. Xing2 , Li Fei-Fei1 1 Computer Science Department, Stanford University 2 Machine

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Source URL: vision.stanford.edu

Language: English - Date: 2013-09-22 18:29:30
547Imaging / Pose / Object recognition / Segmentation / Activity recognition / One-shot learning / Scale-invariant feature transform / Computer vision / Artificial intelligence / Vision

Modeling Mutual Context of Object and Human Pose in Human-Object Interaction Activities Bangpeng Yao Li Fei-Fei Computer Science Department, Stanford University, USA {bangpeng,feifeili}@cs.stanford.edu

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Source URL: vision.stanford.edu

Language: English - Date: 2013-09-22 18:30:03
548Artificial intelligence / 3D single object recognition / Object recognition / Feature / Geometric hashing / Computer vision / Vision / Imaging

DAMEN ET AL.: REAL-TIME LEARNING & DETECTION OF 3D TEXTURELESS OBJECTS 1 Real-time Learning and Detection of 3D Texture-less Objects: A Scalable Approach Dima Damen1

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Source URL: www.cs.bris.ac.uk

Language: English - Date: 2014-03-11 07:06:30
549Science / Neuroimaging / Computational neuroscience / Neural networks / Functional magnetic resonance imaging / Semi-supervised learning / Supervised learning / Neural oscillation / Brain / Neuroscience / Biology / Machine learning

Augmenting Feature-driven fMRI Analyses: Semi-supervised Learning and Resting State Activity Matthew B. Blaschko Visual Geometry Group Department of Engineering Science

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Source URL: www.is.tuebingen.mpg.de

Language: English - Date: 2011-01-20 08:12:44
550Machine learning / Malware / Naive Bayes classifier / Support vector machine / Vector / Perceptron / Computer virus / Weka / Statistics / Statistical classification / Antivirus software

Classification of Malware Based on String and Function Feature Selection

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Source URL: dro.deakin.edu.au

Language: English
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