Support vector machine

Results: 2011



#Item
541Perceptron / Linear classifier / Boosting / Support vector machine / AdaBoost / Artificial neural network / Backpropagation / Statistical classification / Ensemble learning / Machine learning / Statistics / Neural networks

Perceptron Learning with Random Coordinate Descent Ling Li Learning Systems Group, California Institute of Technology Abstract. A perceptron is a linear threshold classifier that separates examples with a hyperplane. It

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Source URL: www.work.caltech.edu

Language: English - Date: 2006-04-22 18:28:41
542Support vector machine / Multi-label classification / Supervised learning / Multiclass classification / Regression analysis / Feature selection / Classifier chains / Structured SVM / Statistics / Machine learning / Statistical classification

Mach Learn manuscript No. (will be inserted by the editor) Efficient Max-Margin Multi-Label Classification with Applications to Zero-Shot Learning Bharath Hariharan · S. V. N. Vishwanathan ·

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Source URL: www.stat.purdue.edu

Language: English - Date: 2011-09-02 09:44:19
543Mutual information / Support vector machine / Pattern / Mathematics / Structure / Euclidean geometry / Similarity / Triangles

Microsoft Word - pantel_web_v2.docx

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Source URL: www.anlp.jp

Language: English - Date: 2012-02-08 20:58:16
544Mathematical optimization / Operations research / Linear algebra / Differential geometry / Surfaces / Vector space / Support vector machine / Kernel trick / Sphere / Mathematics / Algebra / Mathematical analysis

CCCG 2004, Montreal, Quebec, August 9–11, 2004 Meshless Surface Reconstruction by Kernel Clustering   Joachim Giesen

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Source URL: www.cccg.ca

Language: English - Date: 2004-08-23 15:27:23
545Statistical classification / Learning / Entropy / Pattern recognition / Support vector machine / One-shot learning / Statistics / Machine learning / Artificial intelligence

Published in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2000 Learning from One Example Through Shared Densities on Transforms Erik G. Miller and Nicholas E. Matsakis and Paul A. Viola

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Source URL: www.ai.mit.edu

Language: English - Date: 2002-08-23 18:58:19
546Mathematical analysis / Mathematical optimization / Operations research / Convex optimization / Convex function / Support vector machine / Quantum computer / Convex analysis / Applied mathematics / Theoretical computer science

Robust Classification with Adiabatic Quantum Optimization Vasil S. Denchev Nan Ding S. V. N. Vishwanathan Purdue University, West Lafayette, IN 47907, USA

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Source URL: www.stat.purdue.edu

Language: English - Date: 2013-01-13 21:23:20
547Euclidean vector / Linear algebra / Vector calculus / Vector / Support vector machine / Supervised learning / Algebra / Mathematics / Abstract algebra

Boosting VLAD with Supervised Dictionary Learning and High-Order Statistics Xiaojiang Peng1,4,3,⋆ , Limin Wang2,3,⋆ , Yu Qiao3 , Qiang Peng1 1 Southwest Jiaotong University, Chengdu, China

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Source URL: pengxj.github.io

Language: English - Date: 2015-01-16 03:25:47
548Statistical classification / Discrete geometry / Diagrams / Data mining / Support vector machine / Voronoi diagram / Cross-validation / Nearest neighbor search / Thematic map / Statistics / Information science / Machine learning

Learning Approximate Thematic Maps from Labeled Geospatial Data M. Sharifzadeh, C. Shahabi & C. A. Knoblock Computer Science Department and Information Sciences Institute University of Southern California Los Angeles, Ca

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Source URL: infolab.usc.edu

Language: English - Date: 2009-11-05 01:09:05
549Computational linguistics / Abstract algebra / Vectors / Natural language processing / Euclidean vector / Singular value decomposition / Word-sense disambiguation / Support vector machine / Vector space / Algebra / Mathematics / Linear algebra

CS 224D: Deep Learning for NLP1 1 Course Instructor: Richard Socher

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Source URL: cs224d.stanford.edu

Language: English - Date: 2015-05-02 14:21:27
550Artificial intelligence / Learning / Parts of speech / Linear classifier / Support vector machine / Supervised learning / Classifier / Ensemble learning / Statistics / Machine learning / Statistical classification

Multi-Stage Contextual Deep Learning for Pedestrian Detection Xingyu Zeng Wanli Ouyang Xiaogang Wang Department of Electronic Engineering, The Chinese University of Hong Kong Shatin, New Territories, Hong Kong

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Source URL: www.ee.cuhk.edu.hk

Language: English - Date: 2013-10-15 09:27:21
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