Feature learning

Results: 920



#Item
651Model selection / Statistical classification / Geostatistics / Segmentation / Support vector machine / Spectral clustering / Cluster analysis / Region growing / Feature selection / Statistics / Image processing / Machine learning

Tree Detection in Urban Regions Using Aerial LiDAR and Image Data John Secord and Avideh Zakhor EECS Department, U.C. Berkeley {secord,avz}@eecs.berkeley.edu Abstract

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Source URL: www-video.eecs.berkeley.edu

Language: English - Date: 2006-12-16 19:39:58
652Linear algebra / Singular value decomposition / Abstract algebra / Eigenvalues and eigenvectors / Matrix / Trace / Algebra / Mathematics / Matrix theory

Learning with Whom to Share in Multi-task Feature Learning: Supplementary Material [removed] Zhuoliang Kang

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Source URL: www-bcf.usc.edu

Language: English - Date: 2011-08-01 12:49:05
653Support vector machine / University of Science and Technology of China / Query expansion / Supervised learning / Learning / Statistics / Statistical classification / Machine learning

MSRA-USTC-SJTU AT TRECVID 2007: HIGH-LEVEL FEATURE EXTRACTION AND SEARCH Zheng-Jun Zha 2∗

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Source URL: www-nlpir.nist.gov

Language: English - Date: 2007-11-28 11:16:56
654Statistical classification / Image processing / Machine learning / Support vector machine / Feature / K-nearest neighbor algorithm / Binary classification / Boosting methods for object categorization / Statistics / Computer vision / Artificial intelligence

The Vision Research Lab of UCSB at TRECVID 2007 Elisa Drelie Gelasca, Swapna Joshi, James Kleban, Stephen Mangiat, B.S. Manjunath, Emily Moxley, Anindya Sarkar, Jiejun Xu Vision Research Lab, University of California at

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Source URL: www-nlpir.nist.gov

Language: English - Date: 2007-11-28 11:16:46
655Data analysis / Machine learning / Computer vision / Feature extraction / Nonlinear dimensionality reduction / Principal component analysis / Semantic memory / Statistics / Multivariate statistics / Dimension reduction

Zhejiang University at TRECVID 2006 Yanan Liu, Fei Wu, Yueting Zhuang, Shengyi Zhou Digital media Computing & Design Lab (www.dcd.zju.edu.cn), College of Computer Science and Technology, Zhejiang University Zhejiang, Han

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Source URL: www-nlpir.nist.gov

Language: English - Date: 2006-12-07 11:18:18
656Mathematics / Logic in computer science / Applied mathematics / Computer vision / Key frame / Fuzzy logic / Algorithm / Supervised learning / Feature / Image processing / Logic / Artificial intelligence

High-Level Feature Detection with Forests of Fuzzy Decision Trees combined with the RankBoost Algorithm Christophe Marsala, Marcin Detyniecki,

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Source URL: www-nlpir.nist.gov

Language: English - Date: 2007-11-28 11:16:58
657Philosophy of education / Educational technology / Standards-based education / Rubric / Assessment for Learning / Inquiry-based learning / Understanding by Design / Educational assessment / Formative assessment / Education / Educational psychology / Evaluation methods

FEATURE ARTICLES MSTA Journal •

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Source URL: www.msta-mich.org

Language: English - Date: 2014-10-25 09:46:39
658Ensemble learning / Random forest / Multivariate statistics / Random variable / Variable / Plot / Feature selection / Is functions / Correlation and dependence / Statistics / Information / Science

Package ‘varSelRF’ July 2, 2014 Version 0.7-3 Date 2010-10-28 Title Variable selection using random forests Author Ramon Diaz-Uriarte

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Source URL: cran.r-project.org

Language: English - Date: 2014-07-02 16:47:53
659Image 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
660Computational statistics / Supervised learning / Pattern recognition / Machine learning / Artificial intelligence / Learning

Learning with Whom to Share in Multi-task Feature Learning Zhuoliang Kang Department of Computer Science, U. of Southern California, Los Angeles, CA[removed]Kristen Grauman Department of Computer Science, U. of Texas, Aus

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Source URL: www-bcf.usc.edu

Language: English - Date: 2011-08-01 12:49:05
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