ComputerVisionJena/NICE_GP_HIK_Core @ quantization

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

		
				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