Incorporation of Histogram Intersection and Semantic Information into Non-Negative Local Laplacian Sparse Coding for Image Classification

Incorporation of Histogram Intersection and Semantic Information into Non-Negative Local Laplacian Sparse Coding for Image Classification

Traditional sparse coding has proven to be an effective method for image feature representation in recent years, yielding promising results in image classification. However, it faces several challenges, such as sensitivity to feature variations, code instability, and inadequate distance measures. Ad...

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Bibliographic Details
Main Authors: Ying Shi, Yuan Wan, Xinjian Wang, Huanhuan Li
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Mathematics
Subjects:
semantic information
image representation
image classification
sparse coding
support vector machine
Online Access:https://www.mdpi.com/2227-7390/13/2/219
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