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Alexander Freytag 2d9d1b70ba corrected merge conflict 9 gadi atpakaļ
algebra acb47ec1be fixes to novelty semseg 11 gadi atpakaļ
configs 72d211d8f0 init 12 gadi atpakaļ
doxy 72d211d8f0 init 12 gadi atpakaļ
kernels 72d211d8f0 init 12 gadi atpakaļ
matlab b5e60b8f62 stable quantization for Raw version 9 gadi atpakaļ
parameterizedFunctions 50b61955bf stable support of new quantization techniques 9 gadi atpakaļ
progs 3ddc557830 stable support of new functionality, uint for indexing, clean-up, etc. 9 gadi atpakaļ
quantization b5e60b8f62 stable quantization for Raw version 9 gadi atpakaļ
tests 5ab4f6647b test case bugfix and no sparsity tolerance 9 gadi atpakaļ
tutorial 72d211d8f0 init 12 gadi atpakaļ
.gitignore abb7dfbd64 added .gitignore 11 gadi atpakaļ
CMakeLists.txt bda18d7c04 CMakeLists now uses new macro for MEX files 11 gadi atpakaļ
FMKGPHyperparameterOptimization.cpp dfc5e04b6e minor clean-up 9 gadi atpakaļ
FMKGPHyperparameterOptimization.h 50b61955bf stable support of new quantization techniques 9 gadi atpakaļ
FastMinKernel.cpp 872001990e further cleanup 9 gadi atpakaļ
FastMinKernel.h 4b4259ccbb removed obsolete files, comments by erik 9 gadi atpakaļ
FeatureMatrixT.h 7b2f3a96c7 bug-fixing in quantization, fixing of heisenbug 9 gadi atpakaļ
FeatureMatrixT.tcc 7b2f3a96c7 bug-fixing in quantization, fixing of heisenbug 9 gadi atpakaļ
GMHIKernel.cpp 50b61955bf stable support of new quantization techniques 9 gadi atpakaļ
GMHIKernel.h e26c33948b OnlineLearnable added, GPHIK ready for IL with 1 example update, everything nice and clean 11 gadi atpakaļ
GMHIKernelRaw.cpp e6c6fb1682 more modifications, clean-up, consistency, etc. 9 gadi atpakaļ
GMHIKernelRaw.h b5e60b8f62 stable quantization for Raw version 9 gadi atpakaļ
GPHIKClassifier.cpp e303a6cb64 Merge branch 'raw_version' of dbv.inf-cv.uni-jena.de:nice/nice-gp-hik-core into raw_version 9 gadi atpakaļ
GPHIKClassifier.h 3ddc557830 stable support of new functionality, uint for indexing, clean-up, etc. 9 gadi atpakaļ
GPHIKRawClassifier.cpp 2d9d1b70ba corrected merge conflict 9 gadi atpakaļ
GPHIKRawClassifier.h b5e60b8f62 stable quantization for Raw version 9 gadi atpakaļ
GPHIKRegression.cpp 37d92063a8 completed refactoring wrt new persistent layout 11 gadi atpakaļ
GPHIKRegression.h 37d92063a8 completed refactoring wrt new persistent layout 11 gadi atpakaļ
GPLikelihoodApprox.cpp 27f0611efc major bugfix 9 gadi atpakaļ
GPLikelihoodApprox.h 3ddc557830 stable support of new functionality, uint for indexing, clean-up, etc. 9 gadi atpakaļ
IKMLinearCombination.cpp 7fc06c0490 removed compiler warnings 11 gadi atpakaļ
IKMLinearCombination.h e26c33948b OnlineLearnable added, GPHIK ready for IL with 1 example update, everything nice and clean 11 gadi atpakaļ
IKMNoise.cpp e26c33948b OnlineLearnable added, GPHIK ready for IL with 1 example update, everything nice and clean 11 gadi atpakaļ
IKMNoise.h e26c33948b OnlineLearnable added, GPHIK ready for IL with 1 example update, everything nice and clean 11 gadi atpakaļ
ImplicitKernelMatrix.cpp 72d211d8f0 init 12 gadi atpakaļ
ImplicitKernelMatrix.h e26c33948b OnlineLearnable added, GPHIK ready for IL with 1 example update, everything nice and clean 11 gadi atpakaļ
License 72d211d8f0 init 12 gadi atpakaļ
Makefile 72d211d8f0 init 12 gadi atpakaļ
Makefile.inc 72d211d8f0 init 12 gadi atpakaļ
OnlineLearnable.h d755cd9501 better doxygen docu for main classes 11 gadi atpakaļ
README 72d211d8f0 init 12 gadi atpakaļ
SortedVectorSparse.h 5ab4f6647b test case bugfix and no sparsity tolerance 9 gadi atpakaļ
VectorSorter.cpp 72d211d8f0 init 12 gadi atpakaļ
VectorSorter.h 72d211d8f0 init 12 gadi atpakaļ
doxyfile_gp_hik.txt 72d211d8f0 init 12 gadi atpakaļ
libdepend.inc 72d211d8f0 init 12 gadi atpakaļ
tools.h 72d211d8f0 init 12 gadi atpakaļ

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