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Fisher kernel
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#	Item
1	An Improved Training Algorithm for Kernel Fisher Discriminants Sebastian Mika∗ GMD FIRST.IDA Kekul´estrBerlin, Germany Add to Reading List Source URL: www.gatsby.ucl.ac.uk Language: English - Date: 2004-06-14 10:49:39
2	Learning Discriminative Fisher Kernels Laurens van der Maaten Pattern Recognition & Bio-informatics Laboratory, Delft University of Technology, THE NETHERLANDS Add to Reading List Source URL: lvdmaaten.github.io Language: English - Date: 2016-07-16 15:30:43 Estimation theory Machine learning Statistical classification Fisher kernel Categorical data Pattern recognition Kernel method Positive-definite kernel Support vector machine Maximum likelihood estimation Kernel Likelihood function
3	Bayes Optimal Kernel Discriminant Analysis Di You and Aleix M. Martinez Department of Electrical and Computer Engineering The Ohio State University, Columbus, OH 43210, USA Add to Reading List Source URL: www2.ece.ohio-state.edu Language: English - Date: 2010-07-14 17:50:30 Multivariate statistics Statistical classification Linear discriminant analysis Kernel method Kernel Fisher discriminant analysis Normal distribution K-nearest neighbors algorithm Distribution Kernel
4	Diversification with Fisher Kernel Pseudo-Feedback Bogdan Boteanu, Ionut¸ Mironic˘a, Bogdan Ionescu, LAPI, University ”Politehnica” of Bucharest, Bucharest, Romania, Email: {bboteanu, imironica, bionescu}@al Add to Reading List Source URL: imag.pub.ro Language: English - Date: 2015-04-27 18:57:31
5	Deep Fisher Kernels – End to End Learning of the Fisher Kernel GMM Parameters Vladyslav Sydorov∗ Mayu Sakurada∗ Christoph H. Lampert IST Austria, Klosterneuburg, Austria Add to Reading List Source URL: pub.ist.ac.at Language: English - Date: 2014-04-10 11:59:23
6	2014 22nd International Conference on Pattern Recognition Expression Microarray data classiﬁcation using Counting Grids and Fisher Kernel Alessandro Perina Add to Reading List Source URL: profs.sci.univr.it Language: English - Date: 2015-06-16 09:42:08
7	Hybrid Generative-Discriminative Visual Categorization. Alex D. Holub1 , Max Welling2 , Pietro Perona1 1 2 Add to Reading List Source URL: www.ics.uci.edu Language: English - Date: 2007-06-11 23:04:34 Fisher kernel Generative model Discriminative model Supervised learning Constellation model Support vector machine Kernel methods Generative Naive Bayes classifier Statistics Machine learning Statistical classification
8	Journal of VLSI Signal Processing manuscript No. (will be inserted by the editor) Acoustic Modelling using Continuous Rational Kernels Martin Layton1 , Mark Gales1 Department of Engineering, University of Cambridge, Trum Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2006-11-22 10:08:34 Statistical classification Natural language processing Linear algebra Markov models Kernel Finite state transducer Vector space N-gram Fisher kernel Statistics Algebra Mathematics
9	Derivative and Parametric Kernels for Speaker Verification C. Longworth and M.J.F. Gales Engineering Department, Cambridge University Trumpington St, Cambridge, CB2 1PZ {cl336,mjfg}@eng.cam.ac.uk Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2008-01-08 06:13:56 Statistical classification Monolithic kernels Kernel Linux kernel Fisher kernel Parameter Statistics Mathematics Non-parametric statistics
10	Microsoft Word - f70-zhang.doc Add to Reading List Source URL: www.comp.nus.edu.sg Language: English - Date: 2005-08-03 21:23:02 Statistical theory Fisher kernel Information retrieval Support vector machine Maximum likelihood Fisher information Kernel methods Closed and exact differential forms Nonlinear dimensionality reduction Statistics Statistical classification Estimation theory

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