Aucune description

Alexander Freytag 8b60a55bbf Quantization moved to corresponding sub-folder il y a 10 ans
algebra acb47ec1be fixes to novelty semseg il y a 11 ans
configs 72d211d8f0 init il y a 12 ans
doxy 72d211d8f0 init il y a 12 ans
kernels 72d211d8f0 init il y a 12 ans
matlab 051eca217a generic quantization, stable commit, not yet cleaned up il y a 10 ans
parameterizedFunctions 9266de620b unstable, towards extraction of quantization parameters from training data, bug fixes il y a 10 ans
progs 3ddc557830 stable support of new functionality, uint for indexing, clean-up, etc. il y a 10 ans
quantization 8b60a55bbf Quantization moved to corresponding sub-folder il y a 10 ans
tests 8b60a55bbf Quantization moved to corresponding sub-folder il y a 10 ans
tutorial 72d211d8f0 init il y a 12 ans
.gitignore abb7dfbd64 added .gitignore il y a 11 ans
CMakeLists.txt bda18d7c04 CMakeLists now uses new macro for MEX files il y a 11 ans
FMKGPHyperparameterOptimization.cpp 0fb3176100 clean-up of debug statements il y a 10 ans
FMKGPHyperparameterOptimization.h 8b60a55bbf Quantization moved to corresponding sub-folder il y a 10 ans
FastMinKernel.cpp 0fb3176100 clean-up of debug statements il y a 10 ans
FastMinKernel.h 8b60a55bbf Quantization moved to corresponding sub-folder il y a 10 ans
FeatureMatrixT.h 051eca217a generic quantization, stable commit, not yet cleaned up il y a 10 ans
FeatureMatrixT.tcc 0fb3176100 clean-up of debug statements il y a 10 ans
GMHIKernel.cpp 9266de620b unstable, towards extraction of quantization parameters from training data, bug fixes il y a 10 ans
GMHIKernel.h e26c33948b OnlineLearnable added, GPHIK ready for IL with 1 example update, everything nice and clean il y a 11 ans
GPHIKClassifier.cpp 3ddc557830 stable support of new functionality, uint for indexing, clean-up, etc. il y a 10 ans
GPHIKClassifier.h 3ddc557830 stable support of new functionality, uint for indexing, clean-up, etc. il y a 10 ans
GPHIKRegression.cpp 37d92063a8 completed refactoring wrt new persistent layout il y a 11 ans
GPHIKRegression.h 37d92063a8 completed refactoring wrt new persistent layout il y a 11 ans
GPLikelihoodApprox.cpp 3ddc557830 stable support of new functionality, uint for indexing, clean-up, etc. il y a 10 ans
GPLikelihoodApprox.h 3ddc557830 stable support of new functionality, uint for indexing, clean-up, etc. il y a 10 ans
IKMLinearCombination.cpp 7fc06c0490 removed compiler warnings il y a 11 ans
IKMLinearCombination.h e26c33948b OnlineLearnable added, GPHIK ready for IL with 1 example update, everything nice and clean il y a 11 ans
IKMNoise.cpp e26c33948b OnlineLearnable added, GPHIK ready for IL with 1 example update, everything nice and clean il y a 11 ans
IKMNoise.h e26c33948b OnlineLearnable added, GPHIK ready for IL with 1 example update, everything nice and clean il y a 11 ans
ImplicitKernelMatrix.cpp 72d211d8f0 init il y a 12 ans
ImplicitKernelMatrix.h e26c33948b OnlineLearnable added, GPHIK ready for IL with 1 example update, everything nice and clean il y a 11 ans
License 72d211d8f0 init il y a 12 ans
Makefile 72d211d8f0 init il y a 12 ans
Makefile.inc 72d211d8f0 init il y a 12 ans
OnlineLearnable.h d755cd9501 better doxygen docu for main classes il y a 11 ans
README 72d211d8f0 init il y a 12 ans
SortedVectorSparse.h 0fb3176100 clean-up of debug statements il y a 10 ans
VectorSorter.cpp 72d211d8f0 init il y a 12 ans
VectorSorter.h 72d211d8f0 init il y a 12 ans
doxyfile_gp_hik.txt 72d211d8f0 init il y a 12 ans
libdepend.inc 72d211d8f0 init il y a 12 ans
tools.h 72d211d8f0 init il y a 12 ans

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