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 …
TY Kuo, CL Chung, SY Chen, HA Lin, YF Kuo - Computers and Electronics …, 2016 - Elsevier
Rice (Oryza sativa L.) is a major staple food worldwide, and is traded extensively. The objective of this study is to distinguish the rice grains of 30 varieties nondestructively using …
Y Yi, J Wang, W Zhou, C Zheng… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Non-negative matrix factorization (NMF) has recently attracted much attention due to its good interpretation in perception science and widely applications in various fields. In this …
Recent studies have demonstrated advantages of the representations learned by Convolutional Neural Networks (CNNs) in providing an appealing paradigm for visual …
X Qu, W Wang, K Lu, J Zhou - Pattern recognition letters, 2018 - Elsevier
Recently convolutional neural networks (CNN) have demonstrated remarkable performance in various classification problems. In this paper, we also introduce CNN into in-air …
H Du, L Ma, G Li, S Wang - Knowledge-Based Systems, 2020 - Elsevier
Discriminative dictionary learning plays a key role in sparse representation-based classification. In this paper, we propose a low-rank graph preserving discriminative …
J Gou, X He, L Du, B Yu, W Chen… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Deep dictionary learning (DDL) shows good performance in visual classification tasks. However, almost all existing DDL methods ignore the locality relationships between the …
H Huang, F Luo, J Liu, Y Yang - ISPRS Journal of Photogrammetry and …, 2015 - Elsevier
Sparse manifold clustering and embedding (SMCE) adaptively selects neighbor points from the same manifold and approximately spans a low-dimensional affine subspace, but it does …