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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:

Chang, X & Yang, Y 2017, 'Semisupervised Feature Analysis by Mining Correlations Among Multiple Tasks', IEEE Transactions on Neural Networks and Learning Systems, vol. 28, no. 10, pp. 2294-2305.
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Chang, X, Nie, F, Wang, S, Yang, Y, Zhou, X & Zhang, C 2016, 'Compound Rank-k Projections for Bilinear Analysis', IEEE Transactions on Neural Networks and Learning Systems, vol. 27, no. 7, pp. 1502-1513.
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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.
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Chang, X, Yu, YL, Yang, Y & Xing, EP 2016, 'They are not equally reliable: Semantic event search using differentiated concept classifiers', Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, IEEE Conference on Computer Vision and Pattern Recognition, IEEE, Las Vegas, Nevada, United States, pp. 1884-1893.
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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.
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Yan, Y, Tan, M, Yang, Y, Tsang, I, Zhang, C & Shi, Q 2015, 'Scalable maximum margin matrix factorization by active riemannian subspace search', Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence (IJCAI 2015), International Joint Conference on Artificial Intelligence, AAAI, Buenos Aires, Argentina, pp. 3988-3994.
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Chang, X, Nie, F, Ma, Z & Yang, Y, 'Balanced k-Means and Min-Cut Clustering'.
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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