A Locality-Constrained and Label Embedding Dictionary Learning Algorithm for Image Classification
IEEE Transactions on Neural Networks and Learning Systems(2017)
摘要
Locality and label information of training samples play an important role in image classification. However, previous dictionary learning algorithms do not take the locality and label information of atoms into account together in the learning process, and thus their performance is limited. In this paper, a discriminative dictionary learning algorithm, called the locality-constrained and label embed...
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关键词
Dictionaries,Training,Encoding,Atomic measurements,Image reconstruction,Clustering algorithms,Yttrium
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