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Similarity learning
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#	Item
161	Efficient Learning for Hashing Proportional Data Abstract—Spectral hashing (SH) seeks compact binary codes of data points so that Hamming distances between codes correlate with data similarity. Quickly learning such c Add to Reading List Source URL: www.first-mm.eu Language: English - Date: 2013-02-01 10:04:28 Multivariate statistics Search algorithms Singular value decomposition Data analysis Dimension reduction Principal component analysis Hash function Locality-sensitive hashing Nonlinear dimensionality reduction Statistics Algebra Mathematics
162	Efficient Learning for Hashing Proportional Data Abstract—Spectral hashing (SH) seeks compact binary codes of data points so that Hamming distances between codes correlate with data similarity. Quickly learning such c Add to Reading List Source URL: first-mm.informatik.uni-freiburg.de Language: English - Date: 2013-02-01 10:04:28 Multivariate statistics Search algorithms Singular value decomposition Data analysis Dimension reduction Principal component analysis Hash function Locality-sensitive hashing Nonlinear dimensionality reduction Statistics Algebra Mathematics
163	Tracking Web Spam with Hidden Style Similarity Tanguy Urvoy, Thomas Lavergne, Pascal Filoche ∗ France Telecom R&D {tanguy.urvoy,thomas.lavergne,pascal.filoche}@orange-ft.com Add to Reading List Source URL: airweb.cse.lehigh.edu Language: English - Date: 2006-08-14 14:22:35 Computing Machine learning Cluster analysis Data analysis Geostatistics TrustRank Spam Statistics Internet Data mining
164	ListOPT: Learning to Optimize for XML Ranking Ning Gao1 , Zhi-Hong Deng1 2 , Hang Yu1 , and Jia-Jian Jiang1 1 Key Laboratory of Machine Perception (Ministry of Education), Add to Reading List Source URL: www.umiacs.umd.edu Language: English - Date: 2014-09-16 17:44:19 Ranking SVM Ranking function BM25 XML-Retrieval Tf*idf Cosine similarity Okapi BM25 Information science Information retrieval Learning to rank
165	Similarity Search without Tears: the OMNI-Family of All-Purpose Access Methods 1 Roberto Figueira Santos Filho1 Agma Traina1 Caetano Traina Jr.1 Christos Faloutsos2 Department of Computer Science and Statistics - Univer Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2001-04-07 17:38:50 Search algorithms Machine learning Data mining Information retrieval Nearest neighbor search Metric tree R-tree M-tree K-nearest neighbor algorithm Information science Mathematics Geometry
166	Semantic Label Sharing for Learning with Many Categories Rob Fergus1 , Hector Bernal2 , Yair Weiss3 , Antonio Torralba2 1 2 Add to Reading List Source URL: cs.nyu.edu Language: English - Date: 2010-08-06 16:43:42 Machine learning Statistical classification Knowledge representation WordNet LabelMe Support vector machine Semantic similarity Semi-supervised learning Statistics Artificial intelligence Computational linguistics
167	12th International Society for Music Information Retrieval Conference (ISMIR[removed]USING MUTUAL PROXIMITY TO IMPROVE CONTENT-BASED AUDIO SIMILARITY Dominik Schnitzer1,2 , Arthur Flexer1 , Markus Schedl2 , Gerhard Widmer Add to Reading List Source URL: ismir2011.ismir.net Language: English - Date: 2014-01-23 13:06:23 Machine learning Search algorithms Information retrieval Numerical analysis Data mining Nearest neighbor search K-nearest neighbor algorithm Similarity Curse of dimensionality Information science Mathematics Statistics
168	10th International Society for Music Information Retrieval Conference (ISMIR[removed]A FILTER-AND-REFINE INDEXING METHOD FOR FAST SIMILARITY SEARCH IN MILLIONS OF MUSIC TRACKS Dominik Schnitzer Austrian Research Institute Add to Reading List Source URL: ismir2009.ismir.net Language: English - Date: 2014-01-23 13:04:39 Search algorithms Machine learning Numerical analysis Information retrieval Data mining K-nearest neighbor algorithm Nearest neighbor search Recommender system Multivariate normal distribution Information science Statistics Science
169	CONTENT-BASED MUSICAL SIMILARITY COMPUTATION USING THE HIERARCHICAL DIRICHLET PROCESS Matthew Hoffman Princeton University Dept. of Computer Science Add to Reading List Source URL: www.cs.princeton.edu Language: English - Date: 2010-08-18 22:20:55 Dirichlet process Hidden Markov model Mixture model Expectation–maximization algorithm Information retrieval Dirichlet distribution Normal distribution Semantic similarity Kullback–Leibler divergence Statistics Machine learning Natural language processing
170	Teacher Guide for Iteration Learning Objectives Students will: o Describe step-by-step processes. o Discover patterns related to iteration. o Create their own object through iteration. Add to Reading List Source URL: math.schaubroeck.net Language: English - Date: 2012-05-31 11:44:24 Dimension Fractals Curves Sierpinski triangle Fractal curves Similarity Fractal Koch snowflake Geometry Triangles Mathematics

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