Brak opisu

Erik Rodner baa60ce643 minor comments 10 lat temu
algebra acb47ec1be fixes to novelty semseg 12 lat temu
configs 72d211d8f0 init 13 lat temu
doxy 72d211d8f0 init 13 lat temu
kernels 72d211d8f0 init 13 lat temu
matlab 3ddc557830 stable support of new functionality, uint for indexing, clean-up, etc. 10 lat temu
parameterizedFunctions 3d3d4fc5af more flexibility for access from matlab, added identity transform, minor clean-up 10 lat temu
progs 3ddc557830 stable support of new functionality, uint for indexing, clean-up, etc. 10 lat temu
tests 3ddc557830 stable support of new functionality, uint for indexing, clean-up, etc. 10 lat temu
tutorial 72d211d8f0 init 13 lat temu
.gitignore abb7dfbd64 added .gitignore 12 lat temu
CMakeLists.txt bda18d7c04 CMakeLists now uses new macro for MEX files 11 lat temu
FMKGPHyperparameterOptimization.cpp 3ddc557830 stable support of new functionality, uint for indexing, clean-up, etc. 10 lat temu
FMKGPHyperparameterOptimization.h 3ddc557830 stable support of new functionality, uint for indexing, clean-up, etc. 10 lat temu
FastMinKernel.cpp baa60ce643 minor comments 10 lat temu
FastMinKernel.h eac24451b0 hik_prepare_kernel_multiplications removed 10 lat temu
FeatureMatrixT.h 3ddc557830 stable support of new functionality, uint for indexing, clean-up, etc. 10 lat temu
FeatureMatrixT.tcc 9aab94b7b4 uint fix 10 lat temu
GMHIKernel.cpp e26c33948b OnlineLearnable added, GPHIK ready for IL with 1 example update, everything nice and clean 12 lat temu
GMHIKernel.h e26c33948b OnlineLearnable added, GPHIK ready for IL with 1 example update, everything nice and clean 12 lat temu
GPHIKClassifier.cpp 3ddc557830 stable support of new functionality, uint for indexing, clean-up, etc. 10 lat temu
GPHIKClassifier.h 3ddc557830 stable support of new functionality, uint for indexing, clean-up, etc. 10 lat temu
GPHIKRegression.cpp 37d92063a8 completed refactoring wrt new persistent layout 12 lat temu
GPHIKRegression.h 37d92063a8 completed refactoring wrt new persistent layout 12 lat temu
GPLikelihoodApprox.cpp 3ddc557830 stable support of new functionality, uint for indexing, clean-up, etc. 10 lat temu
GPLikelihoodApprox.h 3ddc557830 stable support of new functionality, uint for indexing, clean-up, etc. 10 lat temu
IKMLinearCombination.cpp 7fc06c0490 removed compiler warnings 12 lat temu
IKMLinearCombination.h e26c33948b OnlineLearnable added, GPHIK ready for IL with 1 example update, everything nice and clean 12 lat temu
IKMNoise.cpp e26c33948b OnlineLearnable added, GPHIK ready for IL with 1 example update, everything nice and clean 12 lat temu
IKMNoise.h e26c33948b OnlineLearnable added, GPHIK ready for IL with 1 example update, everything nice and clean 12 lat temu
ImplicitKernelMatrix.cpp 72d211d8f0 init 13 lat temu
ImplicitKernelMatrix.h e26c33948b OnlineLearnable added, GPHIK ready for IL with 1 example update, everything nice and clean 12 lat temu
License 72d211d8f0 init 13 lat temu
Makefile 72d211d8f0 init 13 lat temu
Makefile.inc 72d211d8f0 init 13 lat temu
OnlineLearnable.h d755cd9501 better doxygen docu for main classes 12 lat temu
Quantization.cpp 3ddc557830 stable support of new functionality, uint for indexing, clean-up, etc. 10 lat temu
Quantization.h 3ddc557830 stable support of new functionality, uint for indexing, clean-up, etc. 10 lat temu
README 72d211d8f0 init 13 lat temu
SortedVectorSparse.h 3ddc557830 stable support of new functionality, uint for indexing, clean-up, etc. 10 lat temu
VectorSorter.cpp 72d211d8f0 init 13 lat temu
VectorSorter.h 72d211d8f0 init 13 lat temu
doxyfile_gp_hik.txt 72d211d8f0 init 13 lat temu
libdepend.inc 72d211d8f0 init 13 lat temu
tools.h 72d211d8f0 init 13 lat temu

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