Žiadny popis

Alexander Freytag cbb2ffa96e more consistency towards support of uint 10 rokov pred
algebra acb47ec1be fixes to novelty semseg 12 rokov pred
configs 72d211d8f0 init 13 rokov pred
doxy 72d211d8f0 init 13 rokov pred
kernels 72d211d8f0 init 13 rokov pred
matlab 3f4dfd9051 better support and clean-up in matlab-demos 10 rokov pred
parameterizedFunctions 3d3d4fc5af more flexibility for access from matlab, added identity transform, minor clean-up 10 rokov pred
progs a5730ca7e9 Clang fix 11 rokov pred
tests 95ba8b79ec minor corrections for IL when going from OCC to binary and from binary to MC 12 rokov pred
tutorial 72d211d8f0 init 13 rokov pred
.gitignore abb7dfbd64 added .gitignore 12 rokov pred
CMakeLists.txt bda18d7c04 CMakeLists now uses new macro for MEX files 11 rokov pred
FMKGPHyperparameterOptimization.cpp 3d3d4fc5af more flexibility for access from matlab, added identity transform, minor clean-up 10 rokov pred
FMKGPHyperparameterOptimization.h 95ba8b79ec minor corrections for IL when going from OCC to binary and from binary to MC 12 rokov pred
FastMinKernel.cpp cbb2ffa96e more consistency towards support of uint 10 rokov pred
FastMinKernel.h cbb2ffa96e more consistency towards support of uint 10 rokov pred
FeatureMatrixT.h e6650e029e still unstable, towards uint-support 10 rokov pred
FeatureMatrixT.tcc e6650e029e still unstable, towards uint-support 10 rokov pred
GMHIKernel.cpp e26c33948b OnlineLearnable added, GPHIK ready for IL with 1 example update, everything nice and clean 12 rokov pred
GMHIKernel.h e26c33948b OnlineLearnable added, GPHIK ready for IL with 1 example update, everything nice and clean 12 rokov pred
GPHIKClassifier.cpp 3d3d4fc5af more flexibility for access from matlab, added identity transform, minor clean-up 10 rokov pred
GPHIKClassifier.h 37d92063a8 completed refactoring wrt new persistent layout 12 rokov pred
GPHIKRegression.cpp 37d92063a8 completed refactoring wrt new persistent layout 12 rokov pred
GPHIKRegression.h 37d92063a8 completed refactoring wrt new persistent layout 12 rokov pred
GPLikelihoodApprox.cpp 95ba8b79ec minor corrections for IL when going from OCC to binary and from binary to MC 12 rokov pred
GPLikelihoodApprox.h e26c33948b OnlineLearnable added, GPHIK ready for IL with 1 example update, everything nice and clean 12 rokov pred
IKMLinearCombination.cpp 7fc06c0490 removed compiler warnings 12 rokov pred
IKMLinearCombination.h e26c33948b OnlineLearnable added, GPHIK ready for IL with 1 example update, everything nice and clean 12 rokov pred
IKMNoise.cpp e26c33948b OnlineLearnable added, GPHIK ready for IL with 1 example update, everything nice and clean 12 rokov pred
IKMNoise.h e26c33948b OnlineLearnable added, GPHIK ready for IL with 1 example update, everything nice and clean 12 rokov pred
ImplicitKernelMatrix.cpp 72d211d8f0 init 13 rokov pred
ImplicitKernelMatrix.h e26c33948b OnlineLearnable added, GPHIK ready for IL with 1 example update, everything nice and clean 12 rokov pred
License 72d211d8f0 init 13 rokov pred
Makefile 72d211d8f0 init 13 rokov pred
Makefile.inc 72d211d8f0 init 13 rokov pred
OnlineLearnable.h d755cd9501 better doxygen docu for main classes 12 rokov pred
Quantization.cpp cbb2ffa96e more consistency towards support of uint 10 rokov pred
Quantization.h cbb2ffa96e more consistency towards support of uint 10 rokov pred
README 72d211d8f0 init 13 rokov pred
SortedVectorSparse.h e6650e029e still unstable, towards uint-support 10 rokov pred
VectorSorter.cpp 72d211d8f0 init 13 rokov pred
VectorSorter.h 72d211d8f0 init 13 rokov pred
doxyfile_gp_hik.txt 72d211d8f0 init 13 rokov pred
libdepend.inc 72d211d8f0 init 13 rokov pred
tools.h 72d211d8f0 init 13 rokov pred

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