518 citations
- Dalian University of TechnologyCN24 papers
- Deakin UniversityAU19 papers
- RMIT UniversityAU18 papers
- Monash UniversityAU8 papers
- Australian National UniversityAU7 papers
- Zhejiang University of TechnologyCN7 papers
- Swinburne University of TechnologyAU6 papers
- Czech Academy of Sciences, Institute of Information Theory and AutomationCZ5 papers
- Johannes Kepler University of LinzAT5 papers
- UNSW SydneyAU5 papers
- XLIMFR5 papers
- Can Tho UniversityVN4 papers
16 papers · 1 filter
Canonical Duality Theory and Algorithm for Solving Bilevel Knapsack Problems with Applications
David Yang Gao
A novel canonical duality theory (CDT) is presented for solving general bilevel mixed integer nonlinear optimization governed by linear and quadratic knapsack problems. It shows th…
Transfer Learning Using Classification Layer Features of CNN
Tasfia Shermin, Manzur Murshed, Guojun Lu +1
Although CNNs have gained the ability to transfer learned knowledge from source task to target task by virtue of large annotated datasets but consume huge processing time to fine-t…
Distortion Robust Image Classification using Deep Convolutional Neural Network with Discrete Cosine Transform
Md Tahmid Hossain, Shyh Wei Teng, Dengsheng Zhang +2
Convolutional Neural Network is good at image classification. However, it is found to be vulnerable to image quality degradation. Even a small amount of distortion such as noise or…
Extremality, Stationarity and Generalized Separation of Collections of Sets
Hoa T. Bui, Alexander Y. Kruger
The core arguments used in various proofs of the extremal principle and its extensions as well as in primal and dual characterizations of approximate stationarity and transversalit…
Two curve Chebyshev approximation and its application to signal clustering
Nadezda Sukhorukova
In this paper we extend a number of important results of the classical Chebyshev approximation theory to the case of simultaneous approximation of two or more functions. The need f…
An Attention-Based Approach for Single Image Super Resolution
Yuan Liu, Yuancheng Wang, Nan Li +4
The main challenge of single image super resolution (SISR) is the recovery of high frequency details such as tiny textures. However, most of the state-of-the-art methods lack speci…