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Large margin nearest neighbor
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#	Item
1	EigenSense: Saving User Effort with Active Metric Learning Eli T Brown Remco Chang Add to Reading List Source URL: poloclub.gatech.edu Language: English - Date: 2014-07-21 14:53:03 Machine learning Multivariate statistics K-nearest neighbors algorithm Active learning Eigenvalues and eigenvectors Cluster analysis Large margin nearest neighbor Recommender system K-means clustering Support vector machine Markov chain Multidimensional scaling
2	Learning Local Invariant Mahalanobis Distances Ethan Fetaya Weizmann Institute of science ETHAN . FETAYA @ WEIZMANN . AC . IL Add to Reading List Source URL: jmlr.org Language: English - Date: 2015-09-16 19:38:44 Algebra Mathematics Statistics Real algebraic geometry Multivariate statistics Statistical classification Mahalanobis distance Statistical distance Linear algebra Support vector machine Large margin nearest neighbor Matrix
3	From Region Similarity to Category Discovery Carolina Galleguillos† Brian McFee† Serge Belongie† Gert Lanckriet‡ † Computer Science and Engineering Department Add to Reading List Source URL: bmcfee.github.io Language: English - Date: 2015-03-31 11:15:28 K-nearest neighbor algorithm Supervised learning Support vector machine Large margin nearest neighbor Semidefinite embedding Statistical classification Spectral clustering Positive-definite kernel Statistics Machine learning Artificial intelligence
4	Stochastic k-Neighborhood Selection for Supervised and Unsupervised Learning Daniel Tarlow† Microsoft Research Cambridge Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2013-05-09 17:55:22 Artificial intelligence Search algorithms Dimension reduction Neighbourhood components analysis K-nearest neighbor algorithm Statistical classification Nonlinear dimensionality reduction Large margin nearest neighbor Supervised learning Statistics Machine learning Multivariate statistics
5	Stochastic k-Neighborhood Selection for Supervised and Unsupervised Learning Daniel Tarlow† Microsoft Research Cambridge Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2013-05-10 18:43:05 Multivariate statistics Search algorithms Dimension reduction Neighbourhood components analysis K-nearest neighbor algorithm Statistical classification Nonlinear dimensionality reduction Large margin nearest neighbor Supervised learning Statistics Machine learning Artificial intelligence
6	Learning Metrics for Time Series (Part 2) Ahlame Douzal Univ. Grenoble Alpes CNRS-LIG/AMA France Add to Reading List Source URL: ama.liglab.fr Language: English - Date: 2014-11-24 06:48:37 Dynamic time warping Data analysis Variance Large margin nearest neighbor Multivariate statistics Statistics Time series analysis Dynamic programming
7	Mahalanobis Distance Learning for Person Re-Identification Peter M. Roth1 , Martin Hirzer1 , Martin K¨ostinger1 , Csaba Beleznai2 , and Horst Bischof1 1 2 Add to Reading List Source URL: lrs.icg.tugraz.at Language: English - Date: 2014-07-03 09:08:46 Machine learning Multivariate statistics Search algorithms Mahalanobis distance Large margin nearest neighbor Statistical classification Nearest neighbor search K-nearest neighbor algorithm Linear discriminant analysis Statistics Information science Mathematics
8	C:/Papers/SAM_MDL/MDL.dvi Add to Reading List Source URL: www.research.ibm.com Language: English - Date: 2012-08-13 11:38:52 Linear algebra Multivariate statistics Statistical classification Singular value decomposition Abstract algebra Principal component analysis Tikhonov regularization Linear discriminant analysis Large margin nearest neighbor Algebra Statistics Mathematics
9	Distance Learning Algorithm Comparing in Classification and Retrieval Jiecheng Zhao supervisor: Scott Sanner October 31, 2012 Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2014-11-14 04:07:19 Statistical classification Data analysis Learning Nonlinear dimensionality reduction K-nearest neighbor algorithm Supervised learning Large margin nearest neighbor Linear classifier Support vector machine Statistics Machine learning Multivariate statistics
10	Large Margin Multi-Task Metric Learning Kilian Q. Weinberger Department of Computer Science and Engineering Washington University in St. Louis St. Louis, MO 63130 Add to Reading List Source URL: www.cse.wustl.edu Language: English - Date: 2010-11-15 23:17:09 Computational neuroscience Statistical classification Learning Support vector machine K-nearest neighbor algorithm Large margin nearest neighbor Kernel methods Neural network Pattern recognition Machine learning Statistics Artificial intelligence