Predicting health status of geriatric patients from user trusted multimedia observations

Project Member(s): Yang, Y.

Funding or Partner Organisation: Australian Research Council (Discovery Early Career Researcher Award)

Start year: 2015

Summary: The information technology developed in this project will provide health care specialists with a better window into the lives of elderly patients. Their behaviour can then be accurately interpreted, potentially leading to earlier recognition of problems and better treatment.

Publications:

Gan, C, Yang, Y, Zhu, L, Zhao, D & Zhuang, Y 2016, 'Recognizing an Action Using Its Name: A Knowledge-Based Approach', International Journal of Computer Vision, vol. 120, no. 1, pp. 61-77.
View/Download from: Publisher's site

Chang, X, Yu, Y-L, Yang, Y & Xing, EP 1970, 'They are Not Equally Reliable: Semantic Event Search Using Differentiated Concept Classifiers', 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), IEEE, Las Vegas, Nevada, United States, pp. 1884-1893.
View/Download from: Publisher's site

Yang, Y, Ma, Z, Nie, F, Chang, X & Hauptmann, AG 2015, 'Multi-Class Active Learning by Uncertainty Sampling with Diversity Maximization', International Journal of Computer Vision, vol. 113, no. 2, pp. 113-127.
View/Download from: Publisher's site

Yan, Y, Tan, M, Tsang, I, Yang, Y, Zhang, C & Shi, Q 1970, 'Scalable maximum margin matrix factorization by active riemannian subspace search', IJCAI International Joint Conference on Artificial Intelligence, International Joint Conference on Artificial Intelligence, AAAI, Buenos Aires, Argentina, pp. 3988-3994.

Chang, X & Yang, Y 2014, 'Semi-supervised Feature Analysis by Mining Correlations among Multiple Tasks', IEEE Transactions on Neural Networks and Learning Systems, vol. 28, no. 10, pp. 2294-2305.
View/Download from: Publisher's site

Chang, X, Nie, F, Wang, S, Yang, Y, Zhou, X & Zhang, C 2014, 'Compound Rank-k Projections for Bilinear Analysis', IEEE Transactions on Neural Networks and Learning Systems, vol. 27, no. 7, pp. 1502-1513.
View/Download from: Publisher's site

Chang, X, Nie, F, Ma, Z & Yang, Y 2014, 'Balanced k-Means and Min-Cut Clustering'.

Keywords: Multimedia Databases, Multimedia Computing, Data Mining

FOR Codes: Pattern Recognition and Data Mining, Database Management, Computer Vision, Information Processing Services (incl. Data Entry and Capture), Media Services not elsewhere classified, Expanding Knowledge in the Information and Computing Sciences, Data mining and knowledge discovery, Database systems, Information systems, technologies and services not elsewhere classified

Acknowledgement of Country

UTS acknowledges the Gadigal people of the Eora Nation, the Boorooberongal people of the Dharug Nation, the Bidiagal people and the Gamaygal people, upon whose ancestral lands our university stands. We would also like to pay respect to the Elders both past and present, acknowledging them as the traditional custodians of knowledge for these lands.