ComputerVisionJena/NICE_GP_HIK_Core @ matlabBranch

Тайлбар байхгүй

Alexander Freytag 9a2118674b security check in train method added		12 жил өмнө
algebra	72d211d8f0 init	13 жил өмнө
configs	72d211d8f0 init	13 жил өмнө
doxy	72d211d8f0 init	13 жил өмнө
kernels	72d211d8f0 init	13 жил өмнө
matlab	9a2118674b security check in train method added	12 жил өмнө
parameterizedFunctions	7fc06c0490 removed compiler warnings	12 жил өмнө
progs	7fc06c0490 removed compiler warnings	12 жил өмнө
tests	b0539f5af2 fixed bug for using prev alphas in IL settings, better code consistency, clean-up, more testing	12 жил өмнө
tutorial	72d211d8f0 init	13 жил өмнө
FMKGPHyperparameterOptimization.cpp	dce3fe031a consistency changes for incremental update with differenct variance approximations	12 жил өмнө
FMKGPHyperparameterOptimization.h	d755cd9501 better doxygen docu for main classes	12 жил өмнө
FastMinKernel.cpp	7fc06c0490 removed compiler warnings	12 жил өмнө
FastMinKernel.h	afb7a2c6a0 GPHIK IL - more test units, running IL on empty classifier is now possible, updated addMultipleExamples	12 жил өмнө
FeatureMatrixT.h	afb7a2c6a0 GPHIK IL - more test units, running IL on empty classifier is now possible, updated addMultipleExamples	12 жил өмнө
FeatureMatrixT.tcc	afb7a2c6a0 GPHIK IL - more test units, running IL on empty classifier is now possible, updated addMultipleExamples	12 жил өмнө
GMHIKernel.cpp	e26c33948b OnlineLearnable added, GPHIK ready for IL with 1 example update, everything nice and clean	12 жил өмнө
GMHIKernel.h	e26c33948b OnlineLearnable added, GPHIK ready for IL with 1 example update, everything nice and clean	12 жил өмнө
GPHIKClassifier.cpp	9a2118674b security check in train method added	12 жил өмнө
GPHIKClassifier.h	d755cd9501 better doxygen docu for main classes	12 жил өмнө
GPLikelihoodApprox.cpp	b0539f5af2 fixed bug for using prev alphas in IL settings, better code consistency, clean-up, more testing	12 жил өмнө
GPLikelihoodApprox.h	e26c33948b OnlineLearnable added, GPHIK ready for IL with 1 example update, everything nice and clean	12 жил өмнө
IKMLinearCombination.cpp	7fc06c0490 removed compiler warnings	12 жил өмнө
IKMLinearCombination.h	e26c33948b OnlineLearnable added, GPHIK ready for IL with 1 example update, everything nice and clean	12 жил өмнө
IKMNoise.cpp	e26c33948b OnlineLearnable added, GPHIK ready for IL with 1 example update, everything nice and clean	12 жил өмнө
IKMNoise.h	e26c33948b OnlineLearnable added, GPHIK ready for IL with 1 example update, everything nice and clean	12 жил өмнө
ImplicitKernelMatrix.cpp	72d211d8f0 init	13 жил өмнө
ImplicitKernelMatrix.h	e26c33948b OnlineLearnable added, GPHIK ready for IL with 1 example update, everything nice and clean	12 жил өмнө
License	72d211d8f0 init	13 жил өмнө
Makefile	72d211d8f0 init	13 жил өмнө
Makefile.inc	72d211d8f0 init	13 жил өмнө
OnlineLearnable.h	d755cd9501 better doxygen docu for main classes	12 жил өмнө
Quantization.cpp	72d211d8f0 init	13 жил өмнө
Quantization.h	72d211d8f0 init	13 жил өмнө
README	72d211d8f0 init	13 жил өмнө
SortedVectorSparse.h	b7eb0a2202 Persisent in new layout for main classes of gp-hik-core implemented	12 жил өмнө
VectorSorter.cpp	72d211d8f0 init	13 жил өмнө
VectorSorter.h	72d211d8f0 init	13 жил өмнө
doxyfile_gp_hik.txt	72d211d8f0 init	13 жил өмнө
libdepend.inc	72d211d8f0 init	13 жил өмнө
todo	bc7b16c166 added todos, current bugs, crashs scenarios	12 жил өмнө
tools.h	72d211d8f0 init	13 жил өмнө

		
				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