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Linear classifier
Results: 393

#	Item
321	1 Learning Hierarchical Features for Scene Labeling ´ Clement Add to Reading List Source URL: yann.lecun.com Language: English - Date: 2012-10-10 00:03:55 Segmentation Artificial intelligence Linear classifier Feature Image processing Computer vision Statistics
322	Microsoft Word - handbook_v3.doc Add to Reading List Source URL: www.cs.ucla.edu Language: English - Date: 2005-06-24 16:50:44 Statistical classification Cluster analysis Data analysis Association rule learning Clustering high-dimensional data Support vector machine Curse of dimensionality Linear classifier Oracle Data Mining Statistics Machine learning Data mining
323	Large-Scale FPGA-based Convolutional Networks Cl´ement Farabet1 , Yann LeCun1 , Koray Kavukcuoglu1 , Eugenio Culurciello2 , Berin Martini2 , Polina Akselrod2 , Selcuk Talay2 1. The Courant Institute of Mathematical Scie Add to Reading List Source URL: yann.lecun.com Language: English - Date: 2011-06-20 19:03:29 Yann LeCun Pattern recognition Supervised learning Linear classifier Support vector machine Statistical classification Unsupervised learning Competitive learning Machine learning Statistics Artificial intelligence
324	Learning Convolutional Feature Hierarchies for Visual Recognition Koray Kavukcuoglu1 , Pierre Sermanet1 , Y-Lan Boureau2,1 , Karol Gregor1 , Micha¨el Mathieu1 , Yann LeCun1 1 Add to Reading List Source URL: yann.lecun.com Language: English - Date: 2010-11-26 14:15:40 Statistical classification Error detection and correction Yann LeCun Linear classifier Matching pursuit Supervised learning Unsupervised learning Caltech 101 Support vector machine Statistics Artificial intelligence Machine learning
325	What is the Best Multi-Stage Architecture for Object Recognition? Kevin Jarrett, Koray Kavukcuoglu, Marc’Aurelio Ranzato and Yann LeCun The Courant Institute of Mathematical Sciences New York University, 715 Broadway, Add to Reading List Source URL: yann.lecun.com Language: English - Date: 2009-08-05 19:17:47 Computer vision Statistical classification Linear classifier Caltech 101 Pattern recognition Supervised learning Support vector machine Yann LeCun Unsupervised learning Machine learning Statistics Artificial intelligence
326	Similarity Learning for Provably AccurateSparse Linear Classification Add to Reading List Source URL: icml.cc Language: English - Date: 2012-06-07 13:20:54 Statistical classification Learning Linear classifier Support vector machine Stability Supervised learning K-nearest neighbor algorithm Large margin nearest neighbor Machine learning Statistics Artificial intelligence
327	Scene Parsing with Multiscale Feature Learning, Purity Trees, and Optimal Covers Clément Farabet 1,2 CFARABET @ CS . NYU . EDU Camille Couprie 1 Add to Reading List Source URL: icml.cc Language: English - Date: 2012-06-07 13:20:08 Imaging Vision Segmentation Watershed Linear classifier Object recognition Pattern recognition Yann LeCun Artificial intelligence Image processing Computer vision
328	A Binary Classification Framework for Two-Stage Multiple Kernel Learning Abhishek Kumar [removed] Department of Computer Science, University of Maryland, College Park, MD 20742, USA Add to Reading List Source URL: icml.cc Language: English - Date: 2012-06-07 13:20:36 Hilbert space Signal processing Support vector machine Linear classifier Kernel principal component analysis Kernel Binary classification Reproducing kernel Hilbert space Positive-definite kernel Statistics Machine learning Statistical classification
329	Scene Parsing with Multiscale Feature Learning, Purity Trees, and Optimal Covers Clément Farabet1,2 Camille Couprie1 Add to Reading List Source URL: arxiv.org Language: English - Date: 2012-02-12 20:13:30 Vision Optics Segmentation Object recognition Linear classifier Watershed Image gradient Contextual image classification Image processing Computer vision Imaging
330	Parameter Estimation Statistical NLP ! Maximum likelihood estimates won’t get us very far 3516 wipe off the excess 1034 wipe off the dust Add to Reading List Source URL: www.cs.nyu.edu Language: English - Date: 2013-09-05 23:50:29 Statistical classification Bayesian statistics Computational linguistics Natural language processing Language model N-gram Naive Bayes classifier Linear classifier Principle of maximum entropy Statistics Probability and statistics Statistical natural language processing

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