Description: The package includes the MATLAB code of the multi-instance learning algorithm miFV, which is an efficient and scalable MIL algorithm. miFV maps the original MIL bags into a new feature vector representation, which can obtain bag-level information, and meanwhile lead to excellent performances even with linear classifiers. In consequence, thanks to the low computational cost in the mapping step and the scalability of linear classifiers, miFV can handle large scale MIL data efficiently and effectively. A Readme file and some data files are included in the package.
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code of miFV
............\data
............\....\figure
............\....\......\elephant.mat
__MACOSX
........\code of miFV
........\............\data
........\............\....\figure
........\............\....\......\._elephant.mat
code of miFV\data\figure\figure_testIndex.mat
__MACOSX\code of miFV\data\figure\._figure_testIndex.mat
code of miFV\data\figure\fox.mat
__MACOSX\code of miFV\data\figure\._fox.mat
code of miFV\data\figure\tiger.mat
__MACOSX\code of miFV\data\figure\._tiger.mat
........\............\....\._figure
code of miFV\data\musk
............\....\....\musk1.mat
__MACOSX\code of miFV\data\musk
........\............\....\....\._musk1.mat
code of miFV\data\musk\musk1_Index.mat
__MACOSX\code of miFV\data\musk\._musk1_Index.mat
code of miFV\data\musk\musk2.mat
__MACOSX\code of miFV\data\musk\._musk2.mat
code of miFV\data\musk\musk2_Index.mat
__MACOSX\code of miFV\data\musk\._musk2_Index.mat
........\............\....\._musk
........\............\._data
code of miFV\miFV
............\....\CreateKmeansCodebook.m
__MACOSX\code of miFV\miFV
........\............\....\._CreateKmeansCodebook.m
code of miFV\miFV\ExtractFV.m
__MACOSX\code of miFV\miFV\._ExtractFV.m
code of miFV\miFV\InitSystem.m
__MACOSX\code of miFV\miFV\._InitSystem.m
code of miFV\miFV\miFV.m
__MACOSX\code of miFV\miFV\._miFV.m
........\............\._miFV
code of miFV\readme.txt
__MACOSX\code of miFV\._readme.txt
........\._code of miFV
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