Efficient Face Recognition Using Regularized Adaptive Non-Local Sparse Coding

Volume: 7, Pages: 10653 - 10662
Published: Jan 1, 2019
Abstract
In the sparse representation-based classification (SRC), the object recognition procedure depends on local sparsity identification from sparse coding coefficients, where many existing SRC methods have focused on the local sparsity and the samples correlation to improve the classifier performance. However, the coefficients often do not accurately represent the local sparsity due to several factors that affect the data acquisition process such as...
Paper Details
Title
Efficient Face Recognition Using Regularized Adaptive Non-Local Sparse Coding
Published Date
Jan 1, 2019
Volume
7
Pages
10653 - 10662
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.