ComputerVisionJena/NICE_GP_HIK_Core @ e26c33948bf5b459c91504e9c573a510bb3c793b

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Alexander Freytag e26c33948b OnlineLearnable added, GPHIK ready for IL with 1 example update, everything nice and clean		12 年之前
algebra	72d211d8f0 init	13 年之前
configs	72d211d8f0 init	13 年之前
doxy	72d211d8f0 init	13 年之前
kernels	72d211d8f0 init	13 年之前
matlab	c32b32acdf restore options - bug fixes - more comfortable system is in progress	12 年之前
parameterizedFunctions	05c8c33690 Persistent methods for GPHIK with TestUnits implemented and tested	12 年之前
progs	e26c33948b OnlineLearnable added, GPHIK ready for IL with 1 example update, everything nice and clean	12 年之前
tests	e26c33948b OnlineLearnable added, GPHIK ready for IL with 1 example update, everything nice and clean	12 年之前
tutorial	72d211d8f0 init	13 年之前
FMKGPHyperparameterOptimization.cpp	e26c33948b OnlineLearnable added, GPHIK ready for IL with 1 example update, everything nice and clean	12 年之前
FMKGPHyperparameterOptimization.h	e26c33948b OnlineLearnable added, GPHIK ready for IL with 1 example update, everything nice and clean	12 年之前
FastMinKernel.cpp	e26c33948b OnlineLearnable added, GPHIK ready for IL with 1 example update, everything nice and clean	12 年之前
FastMinKernel.h	e26c33948b OnlineLearnable added, GPHIK ready for IL with 1 example update, everything nice and clean	12 年之前
FeatureMatrixT.h	b7eb0a2202 Persisent in new layout for main classes of gp-hik-core implemented	12 年之前
FeatureMatrixT.tcc	b7eb0a2202 Persisent in new layout for main classes of gp-hik-core implemented	12 年之前
GMHIKernel.cpp	e26c33948b OnlineLearnable added, GPHIK ready for IL with 1 example update, everything nice and clean	12 年之前
GMHIKernel.h	e26c33948b OnlineLearnable added, GPHIK ready for IL with 1 example update, everything nice and clean	12 年之前
GPHIKClassifier.cpp	e26c33948b OnlineLearnable added, GPHIK ready for IL with 1 example update, everything nice and clean	12 年之前
GPHIKClassifier.h	e26c33948b OnlineLearnable added, GPHIK ready for IL with 1 example update, everything nice and clean	12 年之前
GPLikelihoodApprox.cpp	e26c33948b OnlineLearnable added, GPHIK ready for IL with 1 example update, everything nice and clean	12 年之前
GPLikelihoodApprox.h	e26c33948b OnlineLearnable added, GPHIK ready for IL with 1 example update, everything nice and clean	12 年之前
IKMLinearCombination.cpp	e26c33948b OnlineLearnable added, GPHIK ready for IL with 1 example update, everything nice and clean	12 年之前
IKMLinearCombination.h	e26c33948b OnlineLearnable added, GPHIK ready for IL with 1 example update, everything nice and clean	12 年之前
IKMNoise.cpp	e26c33948b OnlineLearnable added, GPHIK ready for IL with 1 example update, everything nice and clean	12 年之前
IKMNoise.h	e26c33948b OnlineLearnable added, GPHIK ready for IL with 1 example update, everything nice and clean	12 年之前
ImplicitKernelMatrix.cpp	72d211d8f0 init	13 年之前
ImplicitKernelMatrix.h	e26c33948b OnlineLearnable added, GPHIK ready for IL with 1 example update, everything nice and clean	12 年之前
License	72d211d8f0 init	13 年之前
Makefile	72d211d8f0 init	13 年之前
Makefile.inc	72d211d8f0 init	13 年之前
OnlineLearnable.h	e26c33948b OnlineLearnable added, GPHIK ready for IL with 1 example update, everything nice and clean	12 年之前
Quantization.cpp	72d211d8f0 init	13 年之前
Quantization.h	72d211d8f0 init	13 年之前
README	72d211d8f0 init	13 年之前
SortedVectorSparse.h	b7eb0a2202 Persisent in new layout for main classes of gp-hik-core implemented	12 年之前
VectorSorter.cpp	72d211d8f0 init	13 年之前
VectorSorter.h	72d211d8f0 init	13 年之前
doxyfile_gp_hik.txt	72d211d8f0 init	13 年之前
libdepend.inc	72d211d8f0 init	13 年之前
todo	bc7b16c166 added todos, current bugs, crashs scenarios	12 年之前
tools.h	72d211d8f0 init	13 年之前

		
				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