L Chen, M Yang - Computational Visual Media, 2017 - Springer
Sparse coding and supervised dictionary learning have rapidly developed in recent years, and achieved impressive performance in image classification. However, there is usually a …
Y Sui, G Wang, L Zhang… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
In this paper, a novel spatial-temporal locality is proposed and unified via a discriminative dictionary learning framework for visual tracking. By exploring the strong local correlations …
W Zhou, C Wu, D Chen, Z Wang, Y Yi… - … Methods in Medicine, 2017 - Wiley Online Library
Recently, microaneurysm (MA) detection has attracted a lot of attention in the medical image processing community. Since MAs can be seen as the earliest lesions in diabetic …
M Yang, L Chen - Proceedings of the AAAI Conference on Artificial …, 2017 - ojs.aaai.org
Dictionary learning has played an important role in the success of sparse representation, which triggers the rapid developments of unsupervised and supervised dictionary learning …
J Li, H Chang, J Yang, W Luo… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Deep stacking networks (DSNs) have been successfully applied in classification tasks. Its architecture builds upon blocks of simplified neural network modules (SNNM). The hidden …
B Kang, WP Zhu, D Liang - IET Image Processing, 2017 - Wiley Online Library
Feature selection and fusion is of crucial importance in multi‐feature visual tracking. This study proposes a multi‐task kernel‐based sparse learning method for multi‐feature visual …
S Zeng, B Zhang, Y Du - Computers and Electronics in Agriculture, 2017 - Elsevier
Plant species recognition has been a difficult and important task in agriculture, where computer techniques like image processing and pattern recognition can commendably …
Z Xue, P Du, H Su, S Zhou - Remote Sensing, 2017 - mdpi.com
This paper presents a novel semi-supervised joint dictionary learning (S 2 JDL) algorithm for hyperspectral image classification. The algorithm jointly minimizes the reconstruction and …
J Yin, H Qv, X Luo, X Jia - IEEE Transactions on Geoscience …, 2017 - ieeexplore.ieee.org
A novel segment-oriented dictionary learning (SeODL) framework for hyperspectral image (HSI) classification is proposed. Differing from existing HSI classification methods which …