Outputs (3158)

Application of Single Image Super-Resolution in Human Ear Recognition Using Eigenvalues (2018)
Presentation / Conference Contribution
Zarachoff, M., Sheikh-Akbari, A., & Monekosso, D. (2018, December). Application of Single Image Super-Resolution in Human Ear Recognition Using Eigenvalues. Presented at 2018 IEEE INTERNATIONAL CONFERENCE ON IMAGING SYSTEMS AND TECHNIQUES (IST) IEEE Instrumentat \& Measurement; IEEE Advancing Technol Human

Local representation learning with a convolutional autoencoder (2018)
Presentation / Conference Contribution
Kenning, M. P., Xie, X., Edwards, M., & Deng, J. (2018, December). Local representation learning with a convolutional autoencoder. Presented at 2018 25th IEEE International Conference on Image Processing (ICIP) IEEE

Recurrent neural networks for financial time-series modelling (2018)
Presentation / Conference Contribution
Tsang, G., Deng, J., & Xie, X. (2018, December). Recurrent neural networks for financial time-series modelling. Presented at 2018 24th International Conference on Pattern Recognition (ICPR) IEEE

Exploring an Approach for Grouping through Predicting Group Performance from Analysis of Learner Characteristics (2018)
Presentation / Conference Contribution
Wang, J., & Kojima, K. (2018, July). Exploring an Approach for Grouping through Predicting Group Performance from Analysis of Learner Characteristics. Presented at 2018 7th International Congress on Advanced Applied Informatics (IIAI-AAI), Yonago, Japan

In this paper, we present a mathematical model for forming heterogeneous groups of learners under different teaching strategies. This model requires a formulation which can effectively predict the learning performance of cooperative learning groups.... Read More about Exploring an Approach for Grouping through Predicting Group Performance from Analysis of Learner Characteristics.

Deterministic Dispersion of Mobile Robots in Dynamic Rings (2018)
Presentation / Conference Contribution
Agarwalla, A., Augustine, J., Moses Jr., W. K., Sankar K., M., & Sridhar, A. K. (2018, December). Deterministic Dispersion of Mobile Robots in Dynamic Rings. Presented at Proceedings of the 19th International Conference on Distributed Computing and Networking

Learning to Drive: Using Visual Odometry to Bootstrap Deep Learning for Off-Road Path Prediction (2018)
Presentation / Conference Contribution
Holder, C., & Breckon, T. (2018, June). Learning to Drive: Using Visual Odometry to Bootstrap Deep Learning for Off-Road Path Prediction. Presented at The 29th Intelligent Vehicles Symposium (IEEE IV 2018)., Changshu, China

Generic compact representation through visual-semantic ambiguity removal (2018)
Journal Article
Long, Y., Guan, Y., & Shao, L. (2018). Generic compact representation through visual-semantic ambiguity removal. Pattern Recognition Letters, 186,

Enhancing apparel data based on fashion theory for developing a novel apparel style recommendation system (2018)
Presentation / Conference Contribution
Guan, C., Qin, S., Ling, W., & Long, Y. (2018, December). Enhancing apparel data based on fashion theory for developing a novel apparel style recommendation system. Presented at World Conference on Information Systems and Technologies Springer, Cham

Digital Approaches to Text Reuse in the Early Chinese Corpus (2018)
Journal Article
Sturgeon, D. (2018). Digital Approaches to Text Reuse in the Early Chinese Corpus. Journal of Chinese Literature and Culture, 5(2), https://doi.org/10.1215/23290048-7256963

New advances in tamper evident technologies (2018)
Thesis
Toreini, E. (2018). New advances in tamper evident technologies. (Thesis). Newcastle University. Retrieved from https://durham-repository.worktribe.com/output/1647214