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Deep Pattern Mining for National Health System's Response to Patient Demand

Project Member(s): Zhang, C., Tao, D., Chen, L.

Funding or Partner Organisation: Australian Research Council (ARC Linkage Projects)
Commonwealth Department of Health (Commonwealth Department of Health and Aged Care: C)

Start year: 2015

Summary: This project aims to build a pricing framework, based on deep pattern mining, to enable dynamic real-time pricing for large enterprises. It will advance existing business intelligence pricing models from policy driven to achieve deep pattern driven real-time pricing. The deep pattern mining addresses critical and under-developed knowledge discovery and data mining issues. Detailed research topics include a probabilistic data model, an extracted deep feature representation, a deep pattern mining algorithm, and a prototype system for pricing determination. The project outcomes will empower enterprises with real-time dynamic pricing capability, as well as building theoretical foundations to strengthen world leadership by Australia businesses.

Publications:

Mei, T, Li, L, Tian, X, Tao, D & Ngo, CW 2018, 'PageSense: Toward Stylewise Contextual Advertising via Visual Analysis of Web Pages', IEEE Transactions on Circuits and Systems for Video Technology, vol. 28, no. 1, pp. 254-266.
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Gong, C, Tao, D, Maybank, SJ, Liu, W, Kang, G & Yang, J 2016, 'Multi-Modal Curriculum Learning for Semi-Supervised Image Classification', IEEE TRANSACTIONS ON IMAGE PROCESSING, vol. 25, no. 7, pp. 3249-3260.
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Gui, J, Liu, T, Tao, D, Sun, Z & Tan, T 2016, 'Representative Vector Machines: A Unified Framework for Classical Classifiers', IEEE Transactions on Cybernetics, vol. 46, no. 8, pp. 1877-1888.
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Li, X, Liu, T, Deng, J & Tao, D 2016, 'Video Face Editing Using Temporal-Spatial-Smooth Warping', ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY, vol. 7, no. 3.
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Li, Z, Gong, D, Li, Q, Tao, D & Li, X 2016, 'Mutual component analysis for heterogeneous face recognition', ACM Transactions on Intelligent Systems and Technology, vol. 7, no. 3, pp. 1-23.
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Peng, C, Gao, X, Wang, N, Tao, D, Li, X & Li, J 2016, 'Multiple Representations-Based Face Sketch-Photo Synthesis', IEEE Transactions on Neural Networks and Learning Systems, vol. 27, no. 11, pp. 2201-2215.
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Yang, X, Gao, X, Tao, D, Li, X, Han, B & Li, J 2016, 'Shape-Constrained Sparse and Low-Rank Decomposition for Auroral Substorm Detection', IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, vol. 27, no. 1, pp. 32-46.
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Ding, C, Xu, C & Tao, D 2015, 'Multi-task pose-invariant face recognition', IEEE Transactions on Image Processing, vol. 24, no. 3, pp. 980-993.
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Gao, F, Tao, D, Gao, X & Li, X 2015, 'Learning to Rank for Blind Image Quality Assessment', IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, vol. 26, no. 10, pp. 2275-2290.
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Gao, Y, Shi, M, Tao, D & Xu, C 2015, 'Database Saliency for Fast Image Retrieval', IEEE TRANSACTIONS ON MULTIMEDIA, vol. 17, no. 3, pp. 359-369.
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Gong, C, Liu, T, Tao, D, Fu, K, Tu, E & Yang, J 2015, 'Deformed Graph Laplacian for Semisupervised Learning', IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, vol. 26, no. 10, pp. 2261-2274.
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Gong, C, Tao, D, Fu, K & Yang, J 2015, 'Fick's Law Assisted Propagation for Semisupervised Learning', IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, vol. 26, no. 9, pp. 2148-2162.
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Hong, C, Yu, J, Tao, D & Wang, M 2015, 'Image-based three-dimensional human pose recovery by multiview locality-sensitive sparse retrieval', IEEE Transactions on Industrial Electronics, vol. 62, no. 6, pp. 3742-3751.
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Hong, C, Yu, J, Wan, J, Tao, D & Wang, M 2015, 'Multimodal Deep Autoencoder for Human Pose Recovery', IEEE TRANSACTIONS ON IMAGE PROCESSING, vol. 24, no. 12, pp. 5659-5670.
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Hou, C, Nie, F, Yi, D & Tao, D 2015, 'Discriminative Embedded Clustering: A Framework for Grouping High-Dimensional Data', IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, vol. 26, no. 6, pp. 1287-1299.
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Hou, W, Gao, X, Tao, D & Li, X 2015, 'Blind image quality assessment via deep learning.', IEEE transactions on neural networks and learning systems, vol. 26, no. 6, pp. 1275-1286.
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Huang, Q, Wang, T, Tao, D & Li, X 2015, 'Biclustering Learning of Trading Rules', IEEE Transactions on Cybernetics, vol. 19, no. 5, pp. 644-658.
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Li, J, Lin, X, Rui, X, Rui, Y & Tao, D 2015, 'A Distributed Approach Toward Discriminative Distance Metric Learning', IEEE Transactions on Neural Networks and Learning Systems, vol. 26, no. 9, pp. 2111-2122.
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Li, X, He, H, Wang, R & Tao, D 2015, 'Single Image Superresolution via Directional Group Sparsity and Directional Features', IEEE TRANSACTIONS ON IMAGE PROCESSING, vol. 24, no. 9, pp. 2874-2888.
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Li, Y, Tian, X, Song, M & Tao, D 2015, 'Multi-task proximal support vector machine', Pattern Recognition, vol. 48, no. 10, pp. 3249-3257.
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Li, Z, Gong, D, Li, X & Tao, D 2015, 'Learning Compact Feature Descriptor and Adaptive Matching Framework for Face Recognition', IEEE TRANSACTIONS ON IMAGE PROCESSING, vol. 24, no. 9, pp. 2736-2745.
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Liu, X, Song, M, Tao, D, Bu, J & Chen, C 2015, 'Random Geometric Prior Forest for Multiclass Object Segmentation', IEEE TRANSACTIONS ON IMAGE PROCESSING, vol. 24, no. 10, pp. 3060-3070.
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Liu, X, Song, M, Tao, D, Liu, Z, Zhang, L, Chen, C & Bu, J 2015, 'Random Forest Construction With Robust Semisupervised Node Splitting', IEEE TRANSACTIONS ON IMAGE PROCESSING, vol. 24, no. 1, pp. 471-483.
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Lu, Y, Xie, F, Liu, T, Jiang, Z & Tao, D 2015, 'No Reference Quality Assessment for Multiply-Distorted Images Based on an Improved Bag-of-Words Model', IEEE SIGNAL PROCESSING LETTERS, vol. 22, no. 10, pp. 1811-1815.
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Luo, Y, Liu, T, Tao, D & Xu, C 2015, 'Multiview Matrix Completion for Multilabel Image Classification', IEEE TRANSACTIONS ON IMAGE PROCESSING, vol. 24, no. 8, pp. 2355-2368.
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Miao, J, Xu, X, Qiu, S, Qing, C & Tao, D 2015, 'Temporal Variance Analysis for Action Recognition', IEEE TRANSACTIONS ON IMAGE PROCESSING, vol. 24, no. 12.
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Qiao, M, Bian, W, Xu, RYD & Tao, D 2015, 'Diversified Hidden Markov Models for Sequential Labeling', IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, vol. 27, no. 11, pp. 2947-2960.
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Song, D, Liu, W, Zhou, T, Tao, D & Meyer, DA 2015, 'Efficient Robust Conditional Random Fields', IEEE TRANSACTIONS ON IMAGE PROCESSING, vol. 24, no. 10, pp. 3124-3136.
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Tian, X, Yang, L, Lu, Y, Tian, Q & Tao, D 2015, 'Image Search Reranking With Hierarchical Topic Awareness', IEEE Transactions on Cybernetics, vol. 45, no. 10, pp. 2177-2189.
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Wang, Y, Song, M, Tao, D, Rui, Y, Bu, J, Tsoi, AC, Zhuo, S & Tan, P 2015, 'Where2Stand: A Human Position Recommendation System for Souvenir Photography', ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY, vol. 7, no. 1.
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Xu, C, Tao, D & Xu, C 2015, 'Multi-View Learning With Incomplete Views', IEEE TRANSACTIONS ON IMAGE PROCESSING, vol. 24, no. 12.
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Yang, X, Gao, X, Tao, D, Li, X & Li, J 2015, 'An Efficient MRF Embedded Level Set Method for Image Segmentation', IEEE TRANSACTIONS ON IMAGE PROCESSING, vol. 24, no. 1, pp. 9-21.
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Zeng, X, Bian, W, Liu, W, Shen, J & Tao, D 2015, 'Dictionary Pair Learning on Grassmann Manifolds for Image Denoising', IEEE TRANSACTIONS ON IMAGE PROCESSING, vol. 24, no. 11, pp. 4556-4569.
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Zhang, K, Tao, D, Gao, X, Li, X & Xiong, Z 2015, 'Learning Multiple Linear Mappings for Efficient Single Image Super-Resolution', IEEE TRANSACTIONS ON IMAGE PROCESSING, vol. 24, no. 3, pp. 846-861.
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Song, K, Feng, S, Gao, W, Wang, D, Chen, L & Zhang, C 2015, 'Building emotion lexicon from microblogs by combining effects of seed words and emoticons in a heterogeneous graph', Proceedings of the 26th ACM Conference on Hypertext & Social Media, ACM Conference on HyperText and Social Media, ACM, Guzelyurt, Northern Cyprus, pp. 283-292.
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Wang, H, Zhang, P, Tsang, I, Chen, L & Zhang, C 2015, 'Defragging Subgraph Features for Graph Classification', Proceedings of the 24th ACM International on Conference on Information and Knowledge Management, ACM International Conference on Information and Knowledge Management, ACM, Melbourne, VIC, Australia, pp. 1687-1690.
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Liu, W, Li, Y, Lin, X, Tao, D & Wang, Y 2014, 'Hessian-regularized co-training for social activity recognition.', PLoS ONE, vol. 9, no. 9, pp. 1-10.
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Keywords: deep pattern mining, pricing analysis, probabilistic graphical modeling

FOR Codes: Pattern Recognition and Data Mining, Business Information Management (incl. Records, Knowledge and Information Management, and Intelligence), Application Software Packages (excl. Computer Games), Property, Business Support Services and Trade not elsewhere classified, Information Processing Services (incl. Data Entry and Capture)