In this paper, we propose a locality-sensitive dictionary learning algorithm for SRC, in which the designed dictionary is able to preserve local data structure.
In this paper, we propose a locality-sensitive dictionary learning algorithm for SRC, in which the designed dictionary is able to preserve local data structure, ...
In this paper, we propose a locality-sensitive dictionary learning algorithm for SRC, in which the designed dictionary is able to preserve local data structure, ...
Discriminative dictionary learning plays a key role in sparse representation-based classification. In this paper, we propose a low-rank graph preserving ...
ABSTRACT. In this paper, motivated by the superior performance of sparse rep- resentation based dictionary learning for application of image clas-.
Jan 29, 2020 · We propose a novel DL method, called deep locality-sensitive discriminative dictionary learning (DLSDDL) for VSA.
Sep 1, 2015 · In this paper, motivated by the superior performance of sparse representation based dictionary learning for application of image ...
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What is sparse representation based classification?
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May 13, 2021 · Sparse Representation (SR) and Dictionary Learning (DL) based Classifier have shown promising results in classification tasks, ...
Dictionary learning (DL) and sparse representation (SR) based classifiers have greatly impacted the classification performance and have had good recognition ...
Below, we discuss the problem of dictionary learning within the framework of our recently developed log-prior model-based sparse source vector learning approach ...