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Markov kernel
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#	Item
11	Modelling vertical fish migration using mixed Ornstein-Uhlenbeck processes Erik Natvig∗, Sam Subbey† Abstract Based on vertical movement data derived from electronic storage tags (DST) attached to fish, we construct Add to Reading List Source URL: www.nik.no Language: English - Date: 2012-02-29 03:37:58 Markov processes Markov chain Ornstein–Uhlenbeck process Kernel density estimation Stochastic matrix Simulation Hidden Markov model Statistics Markov models Stochastic processes
12	Component-based discriminative classification for hidden Markov models Add to Reading List Source URL: profs.sci.univr.it Language: English - Date: 2011-10-29 18:01:45 Markov models Linear classifier Hidden Markov model Perceptron Pattern recognition Feature scaling Support vector machine Speech recognition Fisher kernel Statistics Machine learning Statistical classification
13	Non-linear Generative Embeddings for Kernels on Latent Variable Models Anna Carli 1 , Manuele Bicego 1,2 , Sisto Baldo 1 , Vittorio Murino 1,2 1 Dept. of Computer Science, University of Verona, Strada le Grazie 15 – 37 Add to Reading List Source URL: profs.sci.univr.it Language: English - Date: 2011-10-29 18:01:16 Machine learning Fisher kernel Information retrieval Kernel Hidden Markov model Support vector machine Linear map Linux kernel Pattern recognition Statistics Statistical classification Mathematics
14	Texture Synthesis via a Non-parametric Markov Random Field Rupert Paget and Dennis Longstaff Cooperative Research Centre for Sensor Signal and Information Processing Add to Reading List Source URL: www.texturesynthesis.com Language: English - Date: 2009-01-20 17:54:27 Graphical models Markov random field Texture mapping Kernel density estimation Segmentation Vehicle Identification Number Texture Random field Statistics Non-parametric statistics Texture synthesis
15	Texture Synthesis via a Non-parametric Markov Random Field Rupert Paget and Dennis Longstaff Department of Electrical and Computer Engineering, University of Queensland, and the Cooperative Research Centre for Sensor, Si Add to Reading List Source URL: www.texturesynthesis.com Language: English - Date: 2009-01-20 17:55:14 Texture synthesis Probability theory Segmentation Random field Markov random field Texture mapping Kernel density estimation Density estimation Texture Statistics Non-parametric statistics 3D computer graphics
16	Kernel Measures of Independence for non-iid Data∗ Le Song† School of Computer Science Carnegie Mellon University, Pittsburgh, USA [removed] Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2009-06-21 14:46:47 Covariance and correlation Hilbert space Information theory Mutual information Covariance Reproducing kernel Hilbert space Convolution Markov random field Mathematical analysis Mathematics Abstract algebra
17	Multi-Modal Estimation with Kernel Embeddings for Learning Motion Models Lachlan McCalman1 , Simon O’Callaghan2 and Fabio Ramos3 Abstract— We present a novel estimation algorithm for filtering and regression with a n Add to Reading List Source URL: www-personal.acfr.usyd.edu.au Language: English - Date: 2015-01-05 23:35:35 Robot control Linear filters Markov models Particle filter Kalman filter Hidden Markov model Mixture model Gaussian function Bayesian inference Statistics Bayesian statistics Estimation theory
18	[removed]Machine Learning, Spring 2011: Homework 6 Instructions This homework is completely optional, and will NOT be collected or graded. We provide it to help you review the final exam. Feel free to work on this togethe Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2011-04-23 08:21:13 Statistical classification Dynamic programming Markov processes Stochastic control Support vector machine Reinforcement learning Markov decision process Active learning Kernel Statistics Mathematics Machine learning
19	CHAPTER SIX INTRODUCTION TO DYNAMICS We begin to develop “participator dynamical systems” on environments supported by reflexive frameworks. We introduce the notions of action kernel Add to Reading List Source URL: www.cogsci.uci.edu Language: English - Date: 1997-09-10 13:31:16 Statistics Probability space Markov chain Random variable Independence Probability theory Mathematical analysis Probability and statistics
20	Hilbert Space Embeddings of Hidden Markov Models Le Song [removed] Byron Boots [removed] Add to Reading List Source URL: www.select.cs.cmu.edu Language: English - Date: 2011-07-19 22:00:19 Linear algebra Markov models Operator theory Bioinformatics Hidden Markov model Normal distribution Expectation–maximization algorithm Kernel density estimation Singular value decomposition Mathematics Mathematical analysis Algebra