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  • Category : AI-NN-PR
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  • Update : 2014-07-24
  • Size : 110kb
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  • Author :ji***
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Introduction - If you have any usage issues, please Google them yourself
This package is a set of Matlab scripts that implements the algorithms described in the submitted paper: "Wavelet Kernel Learning".
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toyBench
Comparespeed
toyBench\setpath.m
........\WklEeg2.m
........\CVaverageKernel.m
........\benchSignaux1D.m
........\SpResClass.m
........\HybridWavelet.m
........\SingleBest.m
........\CreateInfoKernel.m
........\launcherperf.m
........\optionsdefault.m
........\CreateDataAppVal.m
........\setpath.m~
........\compareExhaustStockAR.m
........\CVLucas.m
........\launcher.m
........\Exploitresults.m
........\benchSignaux1DFigure.m
........\plotSignalSim.m
........\ExploitresultsPerf.m
Comparespeed\Comparemklhessac.m
............\mklsvmhess.m
............\Comparemklhessac.m~
............\exploitresults.m~
............\exploitresults.m
............\alternateWaveletK.m
............\GramMatrix3D.m
............\setpath.m
............\setpath.m~
............\costhesssvmclass.m
............\gradhesssvmclass.m
............\svqp.cpp
............\svqp.mexglx
............\svqp.mexa64
WavePath.m
waveletSearchingAlgo.m
waveletProjKernel.m
waveletAtomKernel.m
wavelet2dProjKernel.m
testdyad2.m
sumKbeta.m
signalTransformKernel.m
ScaleSearchingAlgo.m
plotDictionary.m
normalizeK.m
monOrthogen.m
MLCKernel.m
mklsvminfval.m
mklsvminf2.m
mklsvminf.m
mklsvmac.m
MaxDistWaveletSelectionAR.m
MaxDistWaveletSelection.m
MarginalKernel.m
MakeParamOrthWavelet.m
MakeParamONFilter.m
ix2dyad.m
InitInfiniteKernel_backup.m
InitInfiniteKernel.m
gridGeneration.m
gradsvmclass.m
GenerateScaleFeature.m
GenerateDictionary2D.m
GenerateDictionary.m
exempleJouet.m
evalKernels.m
evalAlignKernels.m
dyadc.m
dyad2.m
CVWaveletSelectionAR.m
CVWaveletSelection.m
buildDictionary.m
AverageKernel.m
README.txt
nuorthgen.m
mkloptions.m
gpl-3.0.txt
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