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Alexander Freytag 2d9d1b70ba corrected merge conflict 10 år sedan
algebra acb47ec1be fixes to novelty semseg 11 år sedan
configs 72d211d8f0 init 12 år sedan
doxy 72d211d8f0 init 12 år sedan
kernels 72d211d8f0 init 12 år sedan
matlab b5e60b8f62 stable quantization for Raw version 10 år sedan
parameterizedFunctions 50b61955bf stable support of new quantization techniques 10 år sedan
progs 3ddc557830 stable support of new functionality, uint for indexing, clean-up, etc. 10 år sedan
quantization b5e60b8f62 stable quantization for Raw version 10 år sedan
tests 5ab4f6647b test case bugfix and no sparsity tolerance 10 år sedan
tutorial 72d211d8f0 init 12 år sedan
.gitignore abb7dfbd64 added .gitignore 11 år sedan
CMakeLists.txt bda18d7c04 CMakeLists now uses new macro for MEX files 11 år sedan
FMKGPHyperparameterOptimization.cpp dfc5e04b6e minor clean-up 10 år sedan
FMKGPHyperparameterOptimization.h 50b61955bf stable support of new quantization techniques 10 år sedan
FastMinKernel.cpp 872001990e further cleanup 10 år sedan
FastMinKernel.h 4b4259ccbb removed obsolete files, comments by erik 10 år sedan
FeatureMatrixT.h 7b2f3a96c7 bug-fixing in quantization, fixing of heisenbug 10 år sedan
FeatureMatrixT.tcc 7b2f3a96c7 bug-fixing in quantization, fixing of heisenbug 10 år sedan
GMHIKernel.cpp 50b61955bf stable support of new quantization techniques 10 år sedan
GMHIKernel.h e26c33948b OnlineLearnable added, GPHIK ready for IL with 1 example update, everything nice and clean 11 år sedan
GMHIKernelRaw.cpp e6c6fb1682 more modifications, clean-up, consistency, etc. 10 år sedan
GMHIKernelRaw.h b5e60b8f62 stable quantization for Raw version 10 år sedan
GPHIKClassifier.cpp e303a6cb64 Merge branch 'raw_version' of dbv.inf-cv.uni-jena.de:nice/nice-gp-hik-core into raw_version 10 år sedan
GPHIKClassifier.h 3ddc557830 stable support of new functionality, uint for indexing, clean-up, etc. 10 år sedan
GPHIKRawClassifier.cpp 2d9d1b70ba corrected merge conflict 10 år sedan
GPHIKRawClassifier.h b5e60b8f62 stable quantization for Raw version 10 år sedan
GPHIKRegression.cpp 37d92063a8 completed refactoring wrt new persistent layout 11 år sedan
GPHIKRegression.h 37d92063a8 completed refactoring wrt new persistent layout 11 år sedan
GPLikelihoodApprox.cpp 27f0611efc major bugfix 10 år sedan
GPLikelihoodApprox.h 3ddc557830 stable support of new functionality, uint for indexing, clean-up, etc. 10 år sedan
IKMLinearCombination.cpp 7fc06c0490 removed compiler warnings 11 år sedan
IKMLinearCombination.h e26c33948b OnlineLearnable added, GPHIK ready for IL with 1 example update, everything nice and clean 11 år sedan
IKMNoise.cpp e26c33948b OnlineLearnable added, GPHIK ready for IL with 1 example update, everything nice and clean 11 år sedan
IKMNoise.h e26c33948b OnlineLearnable added, GPHIK ready for IL with 1 example update, everything nice and clean 11 år sedan
ImplicitKernelMatrix.cpp 72d211d8f0 init 12 år sedan
ImplicitKernelMatrix.h e26c33948b OnlineLearnable added, GPHIK ready for IL with 1 example update, everything nice and clean 11 år sedan
License 72d211d8f0 init 12 år sedan
Makefile 72d211d8f0 init 12 år sedan
Makefile.inc 72d211d8f0 init 12 år sedan
OnlineLearnable.h d755cd9501 better doxygen docu for main classes 11 år sedan
README 72d211d8f0 init 12 år sedan
SortedVectorSparse.h 5ab4f6647b test case bugfix and no sparsity tolerance 10 år sedan
VectorSorter.cpp 72d211d8f0 init 12 år sedan
VectorSorter.h 72d211d8f0 init 12 år sedan
doxyfile_gp_hik.txt 72d211d8f0 init 12 år sedan
libdepend.inc 72d211d8f0 init 12 år sedan
tools.h 72d211d8f0 init 12 år sedan

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