Mar 6, 2020 · This study proposed an adaptive kernel sparse representation-based classification by combining sparse representation and related approaches.
Based on compressed sensing and machine learning, sparse representation-based classification (SRC) has been extensively in classification. However, SRC is not ...
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Aug 4, 2020 · This paper proposes a novel adaptive kernel sparse representation method based on multiple feature learning (AKSR-MFL).
Aug 4, 2020 · This paper proposes a novel adaptive kernel sparse representation method based on multiple feature learning (AKSR-MFL).
Based on compressed sensing and machine learning, sparse representation-based classification (SRC) has been extensively in classification. However, SRC is not ...
An adaptive kernel sparse representation-based classification. https://doi.org/10.1007/s13042-020-01110-w. Видання: International Journal of Machine Learning ...
2020. TLDR. This study puts forward an adaptive kernel sparse representation-based classification (AKSRC) which is adaptive to the structure of dictionary ...
[PDF] Domain Adaptive Sparse Representation-Based Classification
engineering.jhu.edu › 2018/08 › D...
In this paper, we propose a general sparse representation-based classification method that learns projections of data in a space where the sparsity of data is ...
In this paper, a kernel sparse representation based classification (KSRC) algorithm is proposed. Samples are mapped into a high dimensional feature space first ...
Sparse representation based classification (SRC) has been very successful in many pattern recognition problems. Recently, some extended kernel methods have ...