Linear classifier

Results: 393



#Item
191Artificial intelligence / Learning / Generative model / Discriminative model / Pattern recognition / Graphical model / Language acquisition / Bag of words model in computer vision / Linear classifier / Machine learning / Statistics / Statistical models

Effects of generative and discriminative learning on use of category variability Anne S. Hsu ([removed]) Department of Cognitive, Perceptual and Brain Sciences, University College London, London, UK Thomas L.

Add to Reading List

Source URL: ahsu.psychol.ucl.ac.uk

Language: English - Date: 2012-01-09 14:24:48
192Ensemble learning / Parts of speech / Naive Bayes classifier / Linear discriminant analysis / Boosting / Support vector machine / Classifier / Perceptron / Random forest / Statistics / Machine learning / Statistical classification

Journal of Machine Learning Research[removed]3181 Submitted 11/13; Revised 4/14; Published[removed]Do we Need Hundreds of Classifiers to Solve Real World Classification Problems?

Add to Reading List

Source URL: jmlr.csail.mit.edu

Language: English - Date: 2014-11-02 15:45:55
193Support vector machine / Classifier / Multiclass classification / Boosting methods for object categorization / Random subspace method / Statistics / Statistical classification / Linear classifier

Fast and Balanced: Efficient Label Tree Learning for Large Scale Object Recognition Jia Deng1,2 , Sanjeev Satheesh1 , Alexander C. Berg3 , Li Fei-Fei1 Computer Science Department, Stanford University1 Computer Science De

Add to Reading List

Source URL: vision.stanford.edu

Language: English - Date: 2013-09-22 18:18:28
194Statistical classification / Linear algebra / Abstract algebra / Computational learning theory / Operator theory / Support vector machine / Vector space / Margin classifier / Space / Algebra / Mathematics / Statistics

Vol2_05Spring†Q‘oŠÍŠp.PDF

Add to Reading List

Source URL: www.nec.com

Language: English - Date: 2013-10-21 08:29:52
195One-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

Add to Reading List

Source URL: vision.stanford.edu

Language: English - Date: 2013-09-22 18:29:30
196Artificial intelligence / Linear classifier / Support vector machine / Classifier / Boosting methods for object categorization / Multiclass classification / Statistics / Statistical classification / Machine learning

Microsoft PowerPoint - ilsvrc2012_isi_web_20121018

Add to Reading List

Source URL: image-net.org

Language: English - Date: 2014-02-08 22:41:14
197Supervised learning / Support vector machine / Segmentation / Multiple-instance learning / Linear classifier / Memory segmentation / Gain / Statistics / Machine learning / Statistical classification

Discriminative Segment Annotation in Weakly Labeled Video Kevin Tang1,2 Rahul Sukthankar1 Jay Yagnik1

Add to Reading List

Source URL: vision.stanford.edu

Language: English - Date: 2013-08-11 17:57:02
198Margin classifier / Naive Bayes classifier / Bayesian inference / Density estimation / Decision boundary / Estimation theory / Pattern recognition / Linear classifier / Bag of words model in computer vision / Statistics / Statistical classification / Support vector machine

Restricted Bayes Optimal Classifiers

Add to Reading List

Source URL: aaai.org

Language: English - Date: 2006-01-10 22:46:16
199Machine learning / Numerical linear algebra / Image processing / Linear classifier / Statistical classification / Singular value decomposition / Discriminative model / Sparse approximation / Supervised learning / Algebra / Mathematics / Linear algebra

Discriminative Learned Dictionaries for Local Image Analysis Julien Mairal1,5 1 INRIA

Add to Reading List

Source URL: www.di.ens.fr

Language: English - Date: 2009-12-10 12:54:22
200Machine learning / Magnetic resonance imaging / 3D computer graphics / Functional magnetic resonance imaging / Voxel / Linear classifier / Support vector machine / Naive Bayes classifier / Neural network / Statistics / Statistical classification / Neuroimaging

Jarrod A. Lewis-Peacock Kenneth A. Norman August 31, 2013 Multi-Voxel Pattern Analysis of fMRI Data Jarrod A. Lewis-Peacock1,2 and Kenneth A. Norman3,4

Add to Reading List

Source URL: compmem.princeton.edu

Language: English - Date: 2014-05-11 23:58:11
UPDATE