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Clemens-Alexander Brust a5730ca7e9 Clang fix 11 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 f15680c8c6 Added mex requirement to libdepend 11 anni fa
parameterizedFunctions 7fc06c0490 removed compiler warnings 11 anni fa
progs a5730ca7e9 Clang fix 11 anni fa
tests 95ba8b79ec minor corrections for IL when going from OCC to binary and from binary to MC 11 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 95ba8b79ec minor corrections for IL when going from OCC to binary and from binary to MC 11 anni fa
FMKGPHyperparameterOptimization.h 95ba8b79ec minor corrections for IL when going from OCC to binary and from binary to MC 11 anni fa
FastMinKernel.cpp 04a46dcd66 towards new persistent layout without configs, not completed yet 11 anni fa
FastMinKernel.h 04a46dcd66 towards new persistent layout without configs, not completed yet 11 anni fa
FeatureMatrixT.h 04a46dcd66 towards new persistent layout without configs, not completed yet 11 anni fa
FeatureMatrixT.tcc 04a46dcd66 towards new persistent layout without configs, not completed yet 11 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 37d92063a8 completed refactoring wrt new persistent layout 11 anni fa
GPHIKClassifier.h 37d92063a8 completed refactoring wrt new persistent layout 11 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 95ba8b79ec minor corrections for IL when going from OCC to binary and from binary to MC 11 anni fa
GPLikelihoodApprox.h e26c33948b OnlineLearnable added, GPHIK ready for IL with 1 example update, everything nice and clean 11 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 37d92063a8 completed refactoring wrt new persistent layout 11 anni fa
Quantization.h 37d92063a8 completed refactoring wrt new persistent layout 11 anni fa
README 72d211d8f0 init 12 anni fa
SortedVectorSparse.h b7eb0a2202 Persisent in new layout for main classes of gp-hik-core implemented 11 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