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Alexander Freytag 146cda50d2 GPHIKRegression - test cases for adding multiple examples, minor bug fix il y a 12 ans
algebra 72d211d8f0 init il y a 13 ans
configs 72d211d8f0 init il y a 13 ans
doxy 72d211d8f0 init il y a 13 ans
kernels 72d211d8f0 init il y a 13 ans
matlab 8142c3e762 fixed minor bug for IL in regression setting il y a 12 ans
parameterizedFunctions 7fc06c0490 removed compiler warnings il y a 12 ans
progs 7fc06c0490 removed compiler warnings il y a 12 ans
tests 146cda50d2 GPHIKRegression - test cases for adding multiple examples, minor bug fix il y a 12 ans
tutorial 72d211d8f0 init il y a 13 ans
FMKGPHyperparameterOptimization.cpp 146cda50d2 GPHIKRegression - test cases for adding multiple examples, minor bug fix il y a 12 ans
FMKGPHyperparameterOptimization.h f1883f8192 GPHIK Regression implemented and tested, incremental updates still open il y a 12 ans
FastMinKernel.cpp 4158390858 removed merging issue with previous official release il y a 12 ans
FastMinKernel.h afb7a2c6a0 GPHIK IL - more test units, running IL on empty classifier is now possible, updated addMultipleExamples il y a 12 ans
FeatureMatrixT.h afb7a2c6a0 GPHIK IL - more test units, running IL on empty classifier is now possible, updated addMultipleExamples il y a 12 ans
FeatureMatrixT.tcc afb7a2c6a0 GPHIK IL - more test units, running IL on empty classifier is now possible, updated addMultipleExamples il y a 12 ans
GMHIKernel.cpp e26c33948b OnlineLearnable added, GPHIK ready for IL with 1 example update, everything nice and clean il y a 12 ans
GMHIKernel.h e26c33948b OnlineLearnable added, GPHIK ready for IL with 1 example update, everything nice and clean il y a 12 ans
GPHIKClassifier.cpp 9a2118674b security check in train method added il y a 12 ans
GPHIKClassifier.h d755cd9501 better doxygen docu for main classes il y a 12 ans
GPHIKRegression.cpp 8142c3e762 fixed minor bug for IL in regression setting il y a 12 ans
GPHIKRegression.h f1883f8192 GPHIK Regression implemented and tested, incremental updates still open il y a 12 ans
GPLikelihoodApprox.cpp b0539f5af2 fixed bug for using prev alphas in IL settings, better code consistency, clean-up, more testing il y a 12 ans
GPLikelihoodApprox.h e26c33948b OnlineLearnable added, GPHIK ready for IL with 1 example update, everything nice and clean il y a 12 ans
IKMLinearCombination.cpp 7fc06c0490 removed compiler warnings il y a 12 ans
IKMLinearCombination.h e26c33948b OnlineLearnable added, GPHIK ready for IL with 1 example update, everything nice and clean il y a 12 ans
IKMNoise.cpp e26c33948b OnlineLearnable added, GPHIK ready for IL with 1 example update, everything nice and clean il y a 12 ans
IKMNoise.h e26c33948b OnlineLearnable added, GPHIK ready for IL with 1 example update, everything nice and clean il y a 12 ans
ImplicitKernelMatrix.cpp 72d211d8f0 init il y a 13 ans
ImplicitKernelMatrix.h e26c33948b OnlineLearnable added, GPHIK ready for IL with 1 example update, everything nice and clean il y a 12 ans
License 72d211d8f0 init il y a 13 ans
Makefile 72d211d8f0 init il y a 13 ans
Makefile.inc 72d211d8f0 init il y a 13 ans
OnlineLearnable.h d755cd9501 better doxygen docu for main classes il y a 12 ans
Quantization.cpp 72d211d8f0 init il y a 13 ans
Quantization.h 72d211d8f0 init il y a 13 ans
README 72d211d8f0 init il y a 13 ans
SortedVectorSparse.h b7eb0a2202 Persisent in new layout for main classes of gp-hik-core implemented il y a 12 ans
VectorSorter.cpp 72d211d8f0 init il y a 13 ans
VectorSorter.h 72d211d8f0 init il y a 13 ans
doxyfile_gp_hik.txt 72d211d8f0 init il y a 13 ans
libdepend.inc 72d211d8f0 init il y a 13 ans
tools.h 72d211d8f0 init il y a 13 ans

README

This code requires the NICE-core library (available on github) and implements the ideas presented in the following papers:

Alexander Freytag and Erik Rodner and Paul Bodesheim and Joachim Denzler
"Rapid Uncertainty Computation with Gaussian Processes and Histogram Intersection Kernels"
Asian Conference on Computer Vision (ACCV). 2012.

Erik Rodner and Alexander Freytag and Paul Bodesheim and Joachim Denzler
"Large-Scale Gaussian Process Classification with Flexible Adaptive Histogram Kernels"
European Conference on Computer Vision (ECCV). 2012. pages 85--98

If you use this software in your research, you have to cite at least one of the two papers.

Problems, questions, and general feedback should be addressed to:

Alexander.Freytag uni-jena.de
Erik.Rodner uni-jena.de

Copyright (LGPL) Alexander Freytag and Erik Rodner