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Erik Rodner 6a88f7fb0d comment about noisy labels 10 anni fa
algebra acb47ec1be fixes to novelty semseg 11 anni fa
configs 72d211d8f0 init 12 anni fa
doxy 72d211d8f0 init 12 anni fa
kernels 72d211d8f0 init 12 anni fa
matlab 3ddc557830 stable support of new functionality, uint for indexing, clean-up, etc. 10 anni fa
parameterizedFunctions 3d3d4fc5af more flexibility for access from matlab, added identity transform, minor clean-up 10 anni fa
progs 3ddc557830 stable support of new functionality, uint for indexing, clean-up, etc. 10 anni fa
tests 3ddc557830 stable support of new functionality, uint for indexing, clean-up, etc. 10 anni fa
tutorial 72d211d8f0 init 12 anni fa
.gitignore abb7dfbd64 added .gitignore 11 anni fa
CMakeLists.txt bda18d7c04 CMakeLists now uses new macro for MEX files 11 anni fa
FMKGPHyperparameterOptimization.cpp 3ddc557830 stable support of new functionality, uint for indexing, clean-up, etc. 10 anni fa
FMKGPHyperparameterOptimization.h 3ddc557830 stable support of new functionality, uint for indexing, clean-up, etc. 10 anni fa
FastMinKernel.cpp 6a88f7fb0d comment about noisy labels 10 anni fa
FastMinKernel.h eac24451b0 hik_prepare_kernel_multiplications removed 10 anni fa
FeatureMatrixT.h 3ddc557830 stable support of new functionality, uint for indexing, clean-up, etc. 10 anni fa
FeatureMatrixT.tcc 9aab94b7b4 uint fix 10 anni fa
GMHIKernel.cpp e26c33948b OnlineLearnable added, GPHIK ready for IL with 1 example update, everything nice and clean 11 anni fa
GMHIKernel.h e26c33948b OnlineLearnable added, GPHIK ready for IL with 1 example update, everything nice and clean 11 anni fa
GPHIKClassifier.cpp 3ddc557830 stable support of new functionality, uint for indexing, clean-up, etc. 10 anni fa
GPHIKClassifier.h 3ddc557830 stable support of new functionality, uint for indexing, clean-up, etc. 10 anni fa
GPHIKRegression.cpp 37d92063a8 completed refactoring wrt new persistent layout 11 anni fa
GPHIKRegression.h 37d92063a8 completed refactoring wrt new persistent layout 11 anni fa
GPLikelihoodApprox.cpp 3ddc557830 stable support of new functionality, uint for indexing, clean-up, etc. 10 anni fa
GPLikelihoodApprox.h 3ddc557830 stable support of new functionality, uint for indexing, clean-up, etc. 10 anni fa
IKMLinearCombination.cpp 7fc06c0490 removed compiler warnings 11 anni fa
IKMLinearCombination.h e26c33948b OnlineLearnable added, GPHIK ready for IL with 1 example update, everything nice and clean 11 anni fa
IKMNoise.cpp e26c33948b OnlineLearnable added, GPHIK ready for IL with 1 example update, everything nice and clean 11 anni fa
IKMNoise.h e26c33948b OnlineLearnable added, GPHIK ready for IL with 1 example update, everything nice and clean 11 anni fa
ImplicitKernelMatrix.cpp 72d211d8f0 init 12 anni fa
ImplicitKernelMatrix.h e26c33948b OnlineLearnable added, GPHIK ready for IL with 1 example update, everything nice and clean 11 anni fa
License 72d211d8f0 init 12 anni fa
Makefile 72d211d8f0 init 12 anni fa
Makefile.inc 72d211d8f0 init 12 anni fa
OnlineLearnable.h d755cd9501 better doxygen docu for main classes 11 anni fa
Quantization.cpp 3ddc557830 stable support of new functionality, uint for indexing, clean-up, etc. 10 anni fa
Quantization.h 3ddc557830 stable support of new functionality, uint for indexing, clean-up, etc. 10 anni fa
README 72d211d8f0 init 12 anni fa
SortedVectorSparse.h 3ddc557830 stable support of new functionality, uint for indexing, clean-up, etc. 10 anni fa
VectorSorter.cpp 72d211d8f0 init 12 anni fa
VectorSorter.h 72d211d8f0 init 12 anni fa
doxyfile_gp_hik.txt 72d211d8f0 init 12 anni fa
libdepend.inc 72d211d8f0 init 12 anni fa
tools.h 72d211d8f0 init 12 anni fa

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