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Samuel

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11 Mar 2011 Multiclass GentleAdaboosting A fast Gentle Adaboost classifier with two kind of weaklearners Author: Sebastien PARIS

10 Mar 2011 Multiclass GentleAdaboosting A fast Gentle Adaboost classifier with two kind of weaklearners Author: Sebastien PARIS

Compiled on 32 bit Ubuntu linux after changing some files to .cpp. It will complain about using "//" to coment, which is not supported in my case.

This did not work in the file "srng_model.c", so I manually changed all those comments from "//" to "/* comment here */"

22 Aug 2010 Objects/Faces Detection Toolbox Objects/Faces detection using Local Binary Patterns and Haar features Author: Sebastien PARIS

Thank you for this software. The haar functions in .c are fast and very useful.

08 Aug 2010 Another Particle Swarm Toolbox Implementation of a PSO algorithm with the same syntax as the Genetic Algorithm Toolbox. Author: Sam

Implementation details: This PSO version uses a static intertial weight. You can easily change the velocity update function in file "psoiterate.m" if you want to implement some dynamic change, or even using a different PSO technique such is a constriction factor instead of inertial weighting.

28 Jul 2010 Another Particle Swarm Toolbox Implementation of a PSO algorithm with the same syntax as the Genetic Algorithm Toolbox. Author: Sam

Hello Mr. Sam,

Much thanks for this excellent software. I just have a question about the specifics of your implementation. Are you using an inertia weight in the update velocity, and if so does that weight decrease? It is recommended by some of the original PSO guys in "Defining a Standard for Particle Swarm Optimization" - Daniel Bratton and James Kennedy. It can cause a good space search in beginning and fine tuning toward the end.

Also, how do you deal with particles going over the bound? Are you preventing them from going out entirely, or letting them go out without evaluation the cost function (which will make the particle eventually pull back into the allowable search space)? The reason I ask is that preventing the particles from going out entirely can cause some bias toward the center of the search space.

Thanks again! I have had great success using your implementation.

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