文件名称:MIMLNN
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基于多实例多标记的图像学习,在多实例多标记学习框架的采用matlab语言设计的实验-In image annotation and retrieval, one image often has multiple labels owing to its complicated semantics, whereas different image regions often provide different hints for the labels.
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下载文件列表
MIMLNN/Auxiliary/Average_f1.m
MIMLNN/Auxiliary/Average_precision.m
MIMLNN/Auxiliary/Average_recall.m
MIMLNN/Auxiliary/coverage.m
MIMLNN/Auxiliary/Hamming_loss.m
MIMLNN/Auxiliary/MIML_cluster.m
MIMLNN/Auxiliary/One_error.m
MIMLNN/Auxiliary/Ranking_loss.m
MIMLNN/MIMLNN.m
MIMLNN/Parameter Configuration.txt
MIMLNN/readme.m
MIMLNN/sample_data.mat
MIMLNN/Auxiliary
MIMLNN
MIMLNN/Auxiliary/Average_precision.m
MIMLNN/Auxiliary/Average_recall.m
MIMLNN/Auxiliary/coverage.m
MIMLNN/Auxiliary/Hamming_loss.m
MIMLNN/Auxiliary/MIML_cluster.m
MIMLNN/Auxiliary/One_error.m
MIMLNN/Auxiliary/Ranking_loss.m
MIMLNN/MIMLNN.m
MIMLNN/Parameter Configuration.txt
MIMLNN/readme.m
MIMLNN/sample_data.mat
MIMLNN/Auxiliary
MIMLNN
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