Rank: 41 based on 4263 downloads (last 30 days) and 27 files submitted
photo

Sebastien Paris

E-mail
Company/University
Universite de la Mediterranee, Laboratoire LSIS/COSI

Personal Profile:
Professional Interests:
Statistics, Optimization, Machine Learning, Signal Processing, Target Tracking

 

Watch this Author's files

 

Files Posted by Sebastien View all
  • 1 - 5 of
  • 27
Updated   File Tags Downloads
(last 30 days) 		Comments Rating
17 Dec 2008 Screenshot EM for HMM Multivariate Gaussian processes A fast implementation of the EM Algorithm for HMM Multivariate Gaussian Mixture Author: Sebastien Paris statistics, probability, hmm, em 367 3
  • 5.0
5.0 | 1 rating
17 Dec 2008 Screenshot EM_MVGM Fast implementation of EM algorithm for multivariate gaussian mixture Author: Sebastien Paris statistics, probability, expectation..., multivariat... 187 6
26 Nov 2008 Screenshot Multitarget Bearing Only Tracking by Particle Filter A demo illustrating Multitarget BO tracking by particle filter Author: Sebastien Paris mathematics, signal proc..., statistics, optimizatio... 227 0
06 Oct 2008 Screenshot Particle filter for robot localization using WiFi measurements Tracking a robot with particle filter by correcting odometric measurements with WiFi signal Author: Sebastien Paris wireless, particle fi..., wifi, raytracing 326 0
  • 4.0
4.0 | 1 rating
19 Sep 2008 Screenshot Particle filter and PCRB for navigation Demo for terrain-aided navigation by particle filter Author: Sebastien Paris parficle fi..., pcrb, altimetry, nonholonomi... 287 0
Comments and Ratings by Sebastien View all
  • 1 - 3 of
  • 3
Updated File Comments Rating
17 Dec 2008 EM_MVGM Fast implementation of EM algorithm for multivariate gaussian mixture Author: Sebastien Paris Have you tried by recompiling as this script below ? echo on mex em_ghmm.c mex -Dbetanormalize forward_backward.c mex likelihood_mvgm.c mex ndellipse.c mex -DranSHR3 sample_ghmm.c echo off Never tried on 64 bits system
01 Dec 2008 EM for HMM Multivariate Gaussian processes A fast implementation of the EM Algorithm for HMM Multivariate Gaussian Mixture Author: Sebastien Paris Please read instructions how to compile mex-files in the top of each *.c files. eg. "mex -setup" and 'mex foo.c"
26 Nov 2008 Particle Filter Color Tracker Tracking an object in a video with PF Author: Sebastien Paris Ok, I'll update with a mexmefirt.m file for mexfilers beginners Thx all for comments/ratings
Comments and Ratings on Sebastien's Files View all
  • 1 - 5 of
  • 69
Updated File Comment by Comments Rating
28 Dec 2008 EM for HMM Multivariate Gaussian processes A fast implementation of the EM Algorithm for HMM Multivariate Gaussian Mixture Author: Sebastien Paris linghua, wang
20 Dec 2008 NDellipse Returns coordinates of 2d ellipsoids Author: Sebastien Paris vgood
17 Dec 2008 EM_MVGM Fast implementation of EM algorithm for multivariate gaussian mixture Author: Sebastien Paris Florian Hi, thank you very much for the fast reply! Unfortunately I still get NaNs in all elements of the em_ghmm results (command: [logl , PIest , Aest , Mest , Sest] = em_ghmm(Ztrain , PI0 , A0 , M0 , S0 , options);). Maybe these information are also useful: I needed to add #define max(a,b) ( (a) >= (b) ? (a) : (b) ) in some of the files (also in em_ghmm.c) to overcome the error undefined reference to `max' With this addition, everything compiles fine, with a warning when I compile ndellipse.c: ndellipse.c:138: warning: assignment discards qualifiers from pointer target type ndellipse.c:165: warning: assignment discards qualifiers from pointer target type ndellipse.c:205: warning: assignment discards qualifiers from pointer target type But as far I can see, the ndellipse function is not used until the first call of em_ghmm in the fest file test_em_ghmm.m.
17 Dec 2008 EM_MVGM Fast implementation of EM algorithm for multivariate gaussian mixture Author: Sebastien Paris Paris, Sebastien Have you tried by recompiling as this script below ? echo on mex em_ghmm.c mex -Dbetanormalize forward_backward.c mex likelihood_mvgm.c mex ndellipse.c mex -DranSHR3 sample_ghmm.c echo off Never tried on 64 bits system
17 Dec 2008 EM_MVGM Fast implementation of EM algorithm for multivariate gaussian mixture Author: Sebastien Paris Florian I am using R2008a on a 64bit machine under Linux. I made the files compile, but unfortunately, when I run the test_em_mvgm.m, I get NaN as results of the em_mvgm-function. Do I have to set specific options when compiling the files? Did anyone else have similar problems and solve this problem?
Top Tags Applied by Sebastien
  • 1 - 5 of
  • 90
statistics, probability, optimization, expectationmaximization, mex
Files Tagged by Sebastien View all
  • 1 - 5 of
  • 27
Updated   File Tags Downloads
(last 30 days) 		Comments Rating
17 Dec 2008 Screenshot EM for HMM Multivariate Gaussian processes A fast implementation of the EM Algorithm for HMM Multivariate Gaussian Mixture Author: Sebastien Paris statistics, probability, hmm, em 367 3
  • 5.0
5.0 | 1 rating
17 Dec 2008 Screenshot EM_MVGM Fast implementation of EM algorithm for multivariate gaussian mixture Author: Sebastien Paris statistics, probability, expectation..., multivariat... 187 6
26 Nov 2008 Screenshot Multitarget Bearing Only Tracking by Particle Filter A demo illustrating Multitarget BO tracking by particle filter Author: Sebastien Paris mathematics, signal proc..., statistics, optimizatio... 227 0
06 Oct 2008 Screenshot Particle filter for robot localization using WiFi measurements Tracking a robot with particle filter by correcting odometric measurements with WiFi signal Author: Sebastien Paris wireless, particle fi..., wifi, raytracing 326 0
  • 4.0
4.0 | 1 rating
19 Sep 2008 Screenshot Particle filter and PCRB for navigation Demo for terrain-aided navigation by particle filter Author: Sebastien Paris parficle fi..., pcrb, altimetry, nonholonomi... 287 0

Public Submission Policy

NOTICE: Any content you submit to MATLAB Central, including personal information, is not subject to the protections which may be afforded information collected under other sections of The MathWorks, Inc. Web site. You are entirely responsible for all content that you upload, post, e-mail, transmit or otherwise make available via MATLAB Central. The MathWorks does not control the content posted by visitors to MATLAB Central and, does not guarantee the accuracy, integrity, or quality of such content. Under no circumstances will The MathWorks be liable in any way for any content not authored by The MathWorks, or any loss or damage of any kind incurred as a result of the use of any content posted, e-mailed, transmitted or otherwise made available via MATLAB Central. Read the complete Disclaimer prior to use.

Contact us at files@mathworks.com