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K-nearest neighbor algorithm
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#	Item
361	FXPAL at TRECVID 2005 Matthew Cooper1 , John Adcock1 , Robert Chen2 , and Hanning Zhou1 1 FX 2 Carnegie Add to Reading List Source URL: www-nlpir.nist.gov Language: English - Date: 2006-03-03 08:10:09 Machine learning Computer vision Natural language processing Segmentation Shot transition detection Latent semantic analysis Feature detection K-nearest neighbor algorithm Image processing Artificial intelligence Information science
362	Cloud-Enabled Privacy-Preserving Collaborative Learning for Mobile Sensing∗ Bin Liu, Yurong Jiang, Fei Sha, Ramesh Govindan Department of Computer Science University of Southern California Add to Reading List Source URL: www-bcf.usc.edu Language: English - Date: 2013-09-10 15:47:37 Statistical classification Multivariate statistics Support vector machine Principal component analysis Pattern recognition Dimension reduction Euclidean vector K-nearest neighbor algorithm Linear classifier Statistics Machine learning Artificial intelligence
363	CRIM AT TRECVID-2011: CONTENT-BASED COPY DETECTION USING NEAREST-NEIGHBOR MAPPING Vishwa Gupta, Parisa Darvish Zadeh Varcheie 1 , Langis Gagnon, Gilles Boulianne Centre de recherche informatique de Montr´eal (CRIM) {Vis Add to Reading List Source URL: www-nlpir.nist.gov Language: English - Date: 2013-07-22 11:56:20 Technology Video copy detection Video processing TRECVID Digital video fingerprinting Microsoft SQL Server Fingerprint K-nearest neighbor algorithm Anatomy Artificial intelligence Search algorithms Multimedia
364	2013 IEEE International Conference on Big Data Feature Selection Strategies for Classifying High Dimensional Astronomical Data Sets Ciro Donalek, S. G. Djorgovski, Ashish A. Mahabal, Matthew J. Graham, Andrew J. Drake Add to Reading List Source URL: kiss.caltech.edu Language: English - Date: 2014-04-29 12:54:28 K-nearest neighbor algorithm Feature selection Supervised learning Linear classifier Statistical classification Kepler Least-angle regression RR Lyrae variable Pattern recognition Statistics Machine learning Artificial intelligence
365	Latent Semantic Indexing for Video Content Modeling and Analysis Fabrice Souvannavong, Bernard Merialdo and Benoˆıt Huet D´epartement Communications Multim´edias Institut Eur´ecom 2229, route des crˆetes Add to Reading List Source URL: www-nlpir.nist.gov Language: English - Date: 2004-03-02 12:00:19 Information retrieval Natural language processing Science Latent semantic indexing Latent semantic analysis Statistical classification Mixture model K-nearest neighbor algorithm Semantic analysis Information science Machine learning Artificial intelligence
366	Batch Mode Sparse Active Learning Lixin Shi, Yuhang Zhao Tsinghua University Our work Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2012-05-23 01:04:47 Learning Active learning Statistical classification Support vector machine Supervised learning Classifier K-nearest neighbor algorithm Machine learning Artificial intelligence Statistics
367	shot boundary detection combining similarity analysis and classification Matthew Cooper1, Ting Liu2, and Eleanor Rieffel1 1FX Palo Alto Laboratory Add to Reading List Source URL: www-nlpir.nist.gov Language: English - Date: 2004-11-30 13:48:25 Artificial intelligence Conferences TRECVID Computing Segmentation K-nearest neighbor algorithm Kernel Linux kernel Scale space Image processing Software Computer vision
368	Video only copy Detection Add to Reading List Source URL: www-nlpir.nist.gov Language: English - Date: 2009-12-07 10:17:48 Fingerprint Human anatomy Identification K-nearest neighbor algorithm Acoustic fingerprint Artificial intelligence Anatomy Information Search algorithms Biometrics Fingerprints
369	Learning a Tree of Metrics with Disjoint Visual Features Sung Ju Hwang University of Texas Austin, TX 78701 Add to Reading List Source URL: www-bcf.usc.edu Language: English - Date: 2012-04-20 00:47:34 Semantic similarity Large margin nearest neighbor Feature selection K-nearest neighbor algorithm Class Solid modeling Supervised learning Machine learning Statistics Artificial intelligence
370	Buffer k-d Trees: Processing Massive Nearest Neighbor Queries on GPUs Fabian Gieseke FABIAN . GIESEKE @ DIKU . DK Department of Computer Science, University of Copenhagen, Universitetsparken 5, 2100 Copenhagen, Denmark Add to Reading List Source URL: jmlr.org Language: English - Date: 2014-02-16 19:30:21 GPGPU Graphics hardware Video cards Search algorithms Nearest neighbor search K-nearest neighbor algorithm R-tree K-d tree OpenCL Information science Computing Information retrieval

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