Nessuna descrizione

Alexander Freytag d9cfc82b2b better structure when computing LUT T for raw version 9 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 b5e60b8f62 stable quantization for Raw version 9 anni fa
parameterizedFunctions 50b61955bf stable support of new quantization techniques 10 anni fa
progs 3ddc557830 stable support of new functionality, uint for indexing, clean-up, etc. 10 anni fa
quantization b5e60b8f62 stable quantization for Raw version 9 anni fa
tests 5ab4f6647b test case bugfix and no sparsity tolerance 9 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 b5e60b8f62 stable quantization for Raw version 9 anni fa
FMKGPHyperparameterOptimization.h 50b61955bf stable support of new quantization techniques 10 anni fa
FastMinKernel.cpp 872001990e further cleanup 10 anni fa
FastMinKernel.h 4b4259ccbb removed obsolete files, comments by erik 10 anni fa
FeatureMatrixT.h 7b2f3a96c7 bug-fixing in quantization, fixing of heisenbug 10 anni fa
FeatureMatrixT.tcc 7b2f3a96c7 bug-fixing in quantization, fixing of heisenbug 10 anni fa
GMHIKernel.cpp 50b61955bf stable support of new quantization techniques 10 anni fa
GMHIKernel.h e26c33948b OnlineLearnable added, GPHIK ready for IL with 1 example update, everything nice and clean 11 anni fa
GMHIKernelRaw.cpp d9cfc82b2b better structure when computing LUT T for raw version 9 anni fa
GMHIKernelRaw.h b5e60b8f62 stable quantization for Raw version 9 anni fa
GPHIKClassifier.cpp e303a6cb64 Merge branch 'raw_version' of dbv.inf-cv.uni-jena.de:nice/nice-gp-hik-core into raw_version 10 anni fa
GPHIKClassifier.h 3ddc557830 stable support of new functionality, uint for indexing, clean-up, etc. 10 anni fa
GPHIKRawClassifier.cpp d9cfc82b2b better structure when computing LUT T for raw version 9 anni fa
GPHIKRawClassifier.h b5e60b8f62 stable quantization for Raw version 9 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 27f0611efc major bugfix 9 anni fa
GPLikelihoodApprox.h 3ddc557830 stable support of new functionality, uint for indexing, clean-up, etc. 10 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
README 72d211d8f0 init 12 anni fa
SortedVectorSparse.h 5ab4f6647b test case bugfix and no sparsity tolerance 9 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