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FMKGPHyperparameterOptimization.cpp 146cda50d2 GPHIKRegression - test cases for adding multiple examples, minor bug fix 11 роки тому
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FastMinKernel.cpp 4158390858 removed merging issue with previous official release 11 роки тому
FastMinKernel.h afb7a2c6a0 GPHIK IL - more test units, running IL on empty classifier is now possible, updated addMultipleExamples 11 роки тому
FeatureMatrixT.h afb7a2c6a0 GPHIK IL - more test units, running IL on empty classifier is now possible, updated addMultipleExamples 11 роки тому
FeatureMatrixT.tcc afb7a2c6a0 GPHIK IL - more test units, running IL on empty classifier is now possible, updated addMultipleExamples 11 роки тому
GMHIKernel.cpp e26c33948b OnlineLearnable added, GPHIK ready for IL with 1 example update, everything nice and clean 11 роки тому
GMHIKernel.h e26c33948b OnlineLearnable added, GPHIK ready for IL with 1 example update, everything nice and clean 11 роки тому
GPHIKClassifier.cpp c36326ec41 minor correction for less default output 11 роки тому
GPHIKClassifier.h d755cd9501 better doxygen docu for main classes 11 роки тому
GPHIKRegression.cpp 8142c3e762 fixed minor bug for IL in regression setting 11 роки тому
GPHIKRegression.h f1883f8192 GPHIK Regression implemented and tested, incremental updates still open 11 роки тому
GPLikelihoodApprox.cpp b0539f5af2 fixed bug for using prev alphas in IL settings, better code consistency, clean-up, more testing 11 роки тому
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IKMLinearCombination.cpp 7fc06c0490 removed compiler warnings 11 роки тому
IKMLinearCombination.h e26c33948b OnlineLearnable added, GPHIK ready for IL with 1 example update, everything nice and clean 11 роки тому
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SortedVectorSparse.h b7eb0a2202 Persisent in new layout for main classes of gp-hik-core implemented 11 роки тому
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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