|Code Listing by Sebastien Paris|
Retun predicted labels and a posteriori probabilities given training/test data.
Solve the classic Travel Sale Man problem with Cross-Entropy method (CE) (parametric approach) and the Botev-Kroeze (BK) (non-parametric approach) optimization algorithm
Please run the 2 demo files :
Here is a mex implementation of a Parzen classifier
Return the optimal path given the adjacency/cost sparse matrix and source/destination nodes.
Run mexme_dijkstra.m to compile mex-files on your own-plateform
Run test_dijkstra.m for the demo
A mex file of a Halton sequence generator.
Scenes/Objects Rocognition toolbox v0.12
This toolbox provides some basic tools for scenes/object recognition in vision systems.
Based on supervised classification, this toolbox offerts some...
em_ghmm : Expectation-Maximization algorithm for a HMM with Multivariate Gaussian measurement
[logl , PI , A , M , S] = em_ghmm(Z , PI0 , A0 , M0 , S0 , [options]);
A fast implementation of particle filter dedicaced to multitarget tracking with bearing only measurements. For the multitarget data association problem, a gibbsampler is used to estimate target association probabilities.
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