AdaBoost

Results: 297



#Item
181Artificial intelligence / Learning / Ensemble learning / AdaBoost / Support vector machine / Protein domain / Binary classification / Statistics / Machine learning / Statistical classification

Assembling Heterogeneous Domain Adaptation Methods for Image Classification Boris Chidlovskii, Gabriela Csurka and Shalini Gangwar Xerox Research Centre Europe, 6 chemin Maupertuis, Meylan, France

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Source URL: ceur-ws.org

Language: English - Date: 2014-07-24 09:43:06
182Statistics / Learning / Statistical classification / Parts of speech / Face recognition / AdaBoost / Classifier / Viola–Jones object detection framework / Boosting / Artificial intelligence / Ensemble learning / Machine learning

Using Boosted Features for the Detection of People in 2D Range Data

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Source URL: www.service-robotik-initiative.de

Language: English - Date: 2007-11-05 10:06:14
183C4.5 algorithm / Statistical classification / Precision and recall / Information retrieval / AdaBoost / Classification rule / Pattern recognition / Document classification / Confusion matrix / Statistics / Machine learning / Artificial intelligence

Classification of SchoolNet Data Yanmin Sun Mohamed S. Kamel Andrew K. C. Wong PAMI Lab, University of Waterloo Waterloo, Ontario, Canada sunym,mkamel,[removed]

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Source URL: www.lornet.ca

Language: English - Date: 2006-10-26 11:14:00
184Ensemble learning / Learning / Information retrieval / Cybernetics / AdaBoost / Static single assignment form / Collaborative filtering / Support vector machine / Boosting / Machine learning / Statistics / Computational statistics

MLbase: A Distributed Machine Learning Wrapper Ameet Talwalkara, † Tim Kraskaa, † Rean Griffithb John Duchia Joseph Gonzaleza Denny Britza Xinghao Pana Virginia Smitha Evan Sparksa Andre Wibisonoa Michael J. Frankli

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Source URL: www.cs.berkeley.edu

Language: English - Date: 2014-01-12 23:43:03
185Information / Natural language processing / Ensemble learning / AdaBoost / Machine learning / Relevance feedback / Boosting / Precision and recall / Vector space model / Information science / Information retrieval / Science

Boosting and Rocchio Applied to Text Filtering Robert E. Schapire, Yoram Singer, Amit Singhal AT&T Labs — Research 180 Park Avenue, Florham Park, NJ[removed]fschapire,singer,[removed] Abstract

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Source URL: singhal.info

Language: English - Date: 2007-08-16 20:14:07
186Perceptron / Linear classifier / Support vector machine / Boosting / AdaBoost / Artificial neural network / Ensemble learning / Backpropagation / Statistical classification / 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: authors.library.caltech.edu

Language: English - Date: 2012-12-26 09:14:16
187Artificial intelligence / Optics / Computer vision / Learning / AdaBoost / Ensemble learning / Camera

SFU at TRECVid 2010: Surveillance Event Detection Zhi Feng Huang School of Computing Science Simon Fraser University, Canada Greg Mori

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Source URL: www-nlpir.nist.gov

Language: English - Date: 2011-03-04 14:18:51
188Image processing / Learning / Computer vision / Statistical classification / Machine learning / AdaBoost / Feature / Segmentation / Boosting / Artificial intelligence / Ensemble learning / Statistics

UEC at TRECVID 2008 High Level Feature Task Zhiyuan Tang and Keiji Yanai Department of Computer Science, The University of Electro-Communications, JAPAN {tou-s,yanai}@mm.cs.uec.ac.jp Abstract

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Source URL: www-nlpir.nist.gov

Language: English - Date: 2008-12-03 08:54:11
189Ensemble learning / Supervised learning / Kullback–Leibler divergence / Margin classifier / AdaBoost / Quasigroup / Mutual information / Lambda calculus / Statistics / Mathematics / Machine learning

Boosting with Incomplete Information Gholamreza Haffari1∗ Yang Wang1∗ Shaojun Wang2 Greg Mori1

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Source URL: www.cs.sfu.ca

Language: English - Date: 2008-05-20 17:07:06
190Vision / Color histogram / Support vector machine / Histogram / AdaBoost / Feature / Classifier / Bag of words model in computer vision / Boosting methods for object categorization / Statistics / Computer vision / Artificial intelligence

XJTU at TRECVID2008 High-Level Feature Extraction Zhe Wang, Guizhong Liu, Xueming Qian, Zhi Li, DanPing Guo, Nan Nan, Huaixia Jiang Signal Processing Multi-Disciplinary Research Center, School of Electronic and Informati

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Source URL: www-nlpir.nist.gov

Language: English - Date: 2008-12-03 08:54:12
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