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Alexander Freytag b0539f5af2 fixed bug for using prev alphas in IL settings, better code consistency, clean-up, more testing 11 anni fa
algebra 72d211d8f0 init 12 anni fa
configs 72d211d8f0 init 12 anni fa
doxy 72d211d8f0 init 12 anni fa
kernels 72d211d8f0 init 12 anni fa
matlab c32b32acdf restore options - bug fixes - more comfortable system is in progress 11 anni fa
parameterizedFunctions 05c8c33690 Persistent methods for GPHIK with TestUnits implemented and tested 11 anni fa
progs afb7a2c6a0 GPHIK IL - more test units, running IL on empty classifier is now possible, updated addMultipleExamples 11 anni fa
tests b0539f5af2 fixed bug for using prev alphas in IL settings, better code consistency, clean-up, more testing 11 anni fa
tutorial 72d211d8f0 init 12 anni fa
FMKGPHyperparameterOptimization.cpp b0539f5af2 fixed bug for using prev alphas in IL settings, better code consistency, clean-up, more testing 11 anni fa
FMKGPHyperparameterOptimization.h b0539f5af2 fixed bug for using prev alphas in IL settings, better code consistency, clean-up, more testing 11 anni fa
FastMinKernel.cpp afb7a2c6a0 GPHIK IL - more test units, running IL on empty classifier is now possible, updated addMultipleExamples 11 anni fa
FastMinKernel.h afb7a2c6a0 GPHIK IL - more test units, running IL on empty classifier is now possible, updated addMultipleExamples 11 anni fa
FeatureMatrixT.h afb7a2c6a0 GPHIK IL - more test units, running IL on empty classifier is now possible, updated addMultipleExamples 11 anni fa
FeatureMatrixT.tcc afb7a2c6a0 GPHIK IL - more test units, running IL on empty classifier is now possible, updated addMultipleExamples 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 b0539f5af2 fixed bug for using prev alphas in IL settings, better code consistency, clean-up, more testing 11 anni fa
GPHIKClassifier.h afb7a2c6a0 GPHIK IL - more test units, running IL on empty classifier is now possible, updated addMultipleExamples 11 anni fa
GPLikelihoodApprox.cpp b0539f5af2 fixed bug for using prev alphas in IL settings, better code consistency, clean-up, more testing 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 e26c33948b OnlineLearnable added, GPHIK ready for IL with 1 example update, everything nice and clean 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 e26c33948b OnlineLearnable added, GPHIK ready for IL with 1 example update, everything nice and clean 11 anni fa
Quantization.cpp 72d211d8f0 init 12 anni fa
Quantization.h 72d211d8f0 init 12 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
todo bc7b16c166 added todos, current bugs, crashs scenarios 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