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Nonlinear Transfer Distance Metric Learning for Gleaning Knowledge from the Crowd

Funding: 2014: $140,000
2015: $120,000
2016: $140,000

Project Member(s): Tao, D., Li, J.

Funding or Partner Organisation: University College London
Australian Research Council (ARC Discovery Projects)

Start year: 2014

Summary: This project will develop nonlinear transfer distance metric learning algorithms for training and test samples that are not independent and identically distributed, or from different instance spaces. New theoretical foundations for crowdsourcing will lead to innovative intelligent systems for such purposes as the NBN, social, and security services, and keep pace with developments in hardware technology. Outcomes include applications in social networks, the Internet, and climate change, as well as video surveillance to help combat crime and terrorism. The innovative research will significantly benefit Australia's economy, environment and society, and will maintain Australia's global leading role in the machine learning and computer vision.

Publications:

Qiao, M, Yu, J, Bian, W, Li, Q & Tao, D 2019, 'Adapting Stochastic Block Models to Power-Law Degree Distributions.', IEEE Transactions on Cybernetics, vol. 49, no. 2, pp. 626-637.
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Kang, G, Li, J & Tao, D 2018, 'Shakeout: A New Approach to Regularized Deep Neural Network Training', IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, vol. 40, no. 5, pp. 1245-1258.
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Peng, H, Zheng, Y, Zhao, Z, Liu, T & Li, J 2018, 'Recognition of CRISPR/Cas9 off-target sites through ensemble learning of uneven mismatch distributions.', Bioinformatics, vol. 34, no. 17, pp. i757-i765.
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Zhang, L, Zhang, Q, Du, B, Huang, X, Tang, YY & Tao, D 2018, 'Simultaneous Spectral-Spatial Feature Selection and Extraction for Hyperspectral Images.', IEEE Transactions on Cybernetics, vol. 48, no. 1, pp. 16-28.
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Zhu, F, Gao, J, Xu, C, Yang, J & Tao, D 2018, 'On Selecting Effective Patterns for Fast Support Vector Regression Training', IEEE Transactions on Neural Networks and Learning Systems, vol. 29, no. 8, pp. 3610-3622.
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Chen, Z, You, X, Zhong, B, Li, J & Tao, D 2017, 'Dynamically Modulated Mask Sparse Tracking', IEEE Transactions on Cybernetics, vol. 47, no. 11, pp. 3706-3718.
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Ding, C & Tao, D 2017, 'Pose-invariant face recognition with homography-based normalization', Pattern Recognition, vol. 66, pp. 144-152.
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Dong, Y, Du, B, Zhang, L, Zhang, L & Tao, D 2017, 'LAM3L: Locally adaptive maximum margin metric learning for visual data classification', Neurocomputing, vol. 235, pp. 1-9.
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Du, B, Wang, Z, Zhang, L, Zhang, L & Tao, D 2017, 'Robust and Discriminative Labeling for Multi-Label Active Learning Based on Maximum Correntropy Criterion', IEEE Transactions on Image Processing, vol. 26, no. 4, pp. 1694-1707.
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Du, B, Wang, Z, Zhang, L, Zhang, L, Liu, W, Shen, J & Tao, D 2017, 'Exploring Representativeness and Informativeness for Active Learning', IEEE Transactions on Cybernetics, vol. 47, no. 1, pp. 14-26.
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Du, B, Zhang, M, Zhang, L, Hu, R & Tao, D 2017, 'PLTD: Patch-Based Low-Rank Tensor Decomposition for Hyperspectral Images', IEEE Transactions on Multimedia, vol. 19, no. 1, pp. 67-79.
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Fang, M, Yin, J, Hall, LO & Tao, D 2017, 'Active Multitask Learning With Trace Norm Regularization Based on Excess Risk', IEEE Transactions on Cybernetics, vol. 47, no. 11, pp. 3906-3915.
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Gong, C, Tao, D, Liu, W, Liu, L & Yang, J 2017, 'Label Propagation via Teaching-to-Learn and Learning-to-Teach.', IEEE Transactions on Neural Networks and Learning Systems, vol. 28, no. 6, pp. 1452-1465.
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Gui, J, Sun, Z, Ji, S, Tao, D & Tan, T 2017, 'Feature selection based on structured sparsity: a comprehensive study', IEEE Transactions on Neural Networks and Learning Systems, vol. 28, no. 7, pp. 1490-1507.
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Hu, W, Tao, D, Zhang, W, Xie, Y & Yang, Y 2017, 'The Twist Tensor Nuclear Norm for Video Completion', IEEE Transactions on Neural Networks and Learning Systems.
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Hu, W, Yan, L, Wang, H, Du, B & Tao, D 2017, 'Real-time traffic jams prediction inspired by Biham, Middleton and Levine (BML) model', Information Sciences, vol. 381, pp. 209-228.
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Li, J, Deng, C, Xu, RYD, Tao, D & Zhao, B 2017, 'Robust Object Tracking with Discrete Graph-Based Multiple Experts', IEEE Transactions on Image Processing, vol. 26, no. 6, pp. 2736-2750.
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Liu, H, Wu, J, Liu, T, Tao, D & Fu, Y 2017, 'Spectral Ensemble Clustering via Weighted K-Means: Theoretical and Practical Evidence', IEEE Transactions on Knowledge and Data Engineering, vol. 29, no. 5, pp. 1129-1143.
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Liu, Q, Deng, J, Yang, J, Liu, G & Tao, D 2017, 'Adaptive cascade regression model for robust face alignment', IEEE Transactions on Image Processing, vol. 26, no. 2, pp. 797-807.
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Liu, Q, Sun, Y, Wang, C, Liu, T & Tao, D 2017, 'Elastic net hypergraph learning for image clustering and semi-supervised classification', IEEE Transactions on Image Processing, vol. 26, no. 1, pp. 452-463.
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Liu, T, Gong, M & Tao, D 2017, 'Large-Cone Nonnegative Matrix Factorization', IEEE Transactions on Neural Networks and Learning Systems, vol. 28, no. 9, pp. 2129-2142.
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Liu, T, Tao, D, Song, M & Maybank, S 2017, 'Algorithm-Dependent Generalization Bounds for Multi-Task Learning.', IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 39, no. 2, pp. 227-241.
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Qiao, M, Liu, L, Yu, J, Xu, C & Tao, D 2017, 'Diversified dictionaries for multi-instance learning', Pattern Recognition, vol. 64, pp. 407-416.
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Qu, Y, Lin, L, Shen, F, Lu, C, Wu, Y, Xie, Y & Tao, D 2017, 'Joint Hierarchical Category Structure Learning and Large-Scale Image Classification', IEEE Transactions on Image Processing, vol. 26, no. 9, pp. 4331-4346.
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Tian, D & Tao, D 2017, 'Global Hashing System for Fast Image Search', IEEE Transactions on Image Processing, vol. 26, no. 1, pp. 79-89.
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Xie, L, Tao, D & Wei, H 2017, 'Joint structured sparsity regularized multiview dimension reduction for video-based facial expression recognition', ACM Transactions on Intelligent Systems and Technology, vol. 8, no. 2.
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Xiong, W, Zhang, L, Du, B & Tao, D 2017, 'Combining local and global: Rich and robust feature pooling for visual recognition', Pattern Recognition, vol. 62, pp. 225-235.
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Xu, Z, Tao, D, Huang, S & Zhang, Y 2017, 'Friend or Foe: Fine-Grained Categorization with Weak Supervision', IEEE Transactions on Image Processing, vol. 26, no. 1, pp. 135-146.
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Yu, J, Yang, X, Gao, F & Tao, D 2017, 'Deep Multimodal Distance Metric Learning Using Click Constraints for Image Ranking', IEEE Transactions on Cybernetics, vol. 47, no. 12, pp. 4014-4024.
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Zhang, C, Du, L & Tao, D 2017, 'LSV-based tail inequalities for sums of random matrices', Neural Computation, vol. 29, no. 1, pp. 247-262.
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Zhang, K, Tao, D, Gao, X, Li, X & Li, J 2017, 'Coarse-to-Fine Learning for Single-Image Super-Resolution', IEEE Transactions on Neural Networks and Learning Systems, vol. 28, no. 5, pp. 1109-1122.
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Zhang, S, Lan, X, Yao, H, Zhou, H, Tao, D & Li, X 2017, 'A Biologically Inspired Appearance Model for Robust Visual Tracking', IEEE Transactions on Neural Networks and Learning Systems, vol. 28, no. 10, pp. 2357-2370.
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Huang, S, Gong, M & Tao, D 2017, 'A Coarse-Fine Network for Keypoint Localization', Proceedings of the IEEE International Conference on Computer Vision, IEEE International Conference on Computer Vision, Venice, Italy, pp. 3047-3056.
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Cai, B, Xu, X, Jia, K, Qing, C & Tao, D 2016, 'DehazeNet: An End-to-End System for Single Image Haze Removal', IEEE TRANSACTIONS ON IMAGE PROCESSING, vol. 25, no. 11, pp. 5187-5198.
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Cai, B, Xu, X, Xing, X, Jia, K, Miao, J & Tao, D 2016, 'BIT: Biologically Inspired Tracker', IEEE TRANSACTIONS ON IMAGE PROCESSING, vol. 25, no. 3, pp. 1327-1339.
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Deng, C, Xu, J, Zhang, K, Tao, D, Gao, X & Li, X 2016, 'Similarity Constraints-Based Structured Output Regression Machine: An Approach to Image Super-Resolution', IEEE Transactions on Neural Networks and Learning Systems.
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Ding, C, Choi, J, Tao, D & Davis, LS 2016, 'Multi-Directional Multi-Level Dual-Cross Patterns for Robust Face Recognition', IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, vol. 38, no. 3, pp. 518-531.
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Du, B, Zhang, Y, Zhang, L & Tao, D 2016, 'Beyond the Sparsity-Based Target Detector: A Hybrid Sparsity and Statistics-Based Detector for Hyperspectral Images', IEEE TRANSACTIONS ON IMAGE PROCESSING, vol. 25, no. 11, pp. 5345-5357.
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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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He, Z, Li, X, You, X, Tao, D & Tang, YY 2016, 'Connected Component Model for Multi-Object Tracking', IEEE TRANSACTIONS ON IMAGE PROCESSING, vol. 25, no. 8, pp. 3698-3711.
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Hong, R, Hu, Z, Wang, R, Wang, M & Tao, D 2016, 'Multi-View Object Retrieval via Multi-Scale Topic Models', IEEE TRANSACTIONS ON IMAGE PROCESSING, vol. 25, no. 12, pp. 5814-5827.
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Hong, R, Zhang, L & Tao, D 2016, 'Unified Photo Enhancement by Discovering Aesthetic Communities From Flickr', IEEE TRANSACTIONS ON IMAGE PROCESSING, vol. 25, no. 3, pp. 1124-1135.
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Hu, Y, Wang, N, Tao, D, Gao, X & Li, X 2016, 'SERF: A Simple, Effective, Robust, and Fast Image Super-Resolver From Cascaded Linear Regression', IEEE TRANSACTIONS ON IMAGE PROCESSING, vol. 25, no. 9, pp. 4091-4102.
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Li, Q, Xie, B, You, J, Bian, W & Tao, D 2016, 'Correlated Logistic Model With Elastic Net Regularization for Multilabel Image Classification', IEEE TRANSACTIONS ON IMAGE PROCESSING, vol. 25, no. 8, pp. 3801-3813.
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Li, Z, Gong, D, Li, X & Tao, D 2016, 'Aging Face Recognition: A Hierarchical Learning Model Based on Local Patterns Selection', IEEE TRANSACTIONS ON IMAGE PROCESSING, vol. 25, no. 5, pp. 2146-2154.
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Liu, F, Xu, X, Qiu, S, Qing, C & Tao, D 2016, 'Simple to Complex Transfer Learning for Action Recognition', IEEE TRANSACTIONS ON IMAGE PROCESSING, vol. 25, no. 2, pp. 949-960.
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Liu, Q, Deng, J & Tao, D 2016, 'Dual Sparse Constrained Cascade Regression for Robust Face Alignment', IEEE TRANSACTIONS ON IMAGE PROCESSING, vol. 25, no. 2, pp. 700-712.
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Liu, T & Tao, D 2016, 'Classification with Noisy Labels by Importance Reweighting', IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, vol. 38, no. 3, pp. 447-461.
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Liu, T & Tao, D 2016, 'On the Performance of Manhattan Nonnegative Matrix Factorization', IEEE Transactions on Neural Networks and Learning Systems, vol. 27, no. 9, pp. 1851-1863.
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Liu, T, Tao, D & Xu, D 2016, 'Dimensionality-Dependent Generalization Bounds for k-Dimensional Coding Schemes', NEURAL COMPUTATION, vol. 28, no. 10, pp. 2213-2249.
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Liu, W, Zha, Z-J, Wang, Y, Lu, K & Tao, D 2016, 'p-Laplacian Regularized Sparse Coding for Human Activity Recognition', IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, vol. 63, no. 8, pp. 5120-5129.
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Liu, X, Deng, C, Lang, B, Tao, D & Li, X 2016, 'Query-Adaptive Reciprocal Hash Tables for Nearest Neighbor Search', IEEE TRANSACTIONS ON IMAGE PROCESSING, vol. 25, no. 2, pp. 907-919.
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Liu, X, Huang, L, Deng, C, Lang, B & Tao, D 2016, 'Query-Adaptive Hash Code Ranking for Large-Scale Multi-View Visual Search', IEEE TRANSACTIONS ON IMAGE PROCESSING, vol. 25, no. 10, pp. 4514-4524.
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Luo, Y, Wen, Y, Tao, D, Gui, J & Xu, C 2016, 'Large Margin Multi-Modal Multi-Task Feature Extraction for Image Classification', IEEE TRANSACTIONS ON IMAGE PROCESSING, vol. 25, no. 1, pp. 414-427.
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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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Qiao, M, Xu, RYD, Bian, W & Tao, D 2016, 'Fast Sampling for Time-Varying Determinantal Point Processes', ACM TRANSACTIONS ON KNOWLEDGE DISCOVERY FROM DATA, vol. 11, no. 1.
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Ren, W, Huang, K, Tao, D & Tan, T 2016, 'Weakly Supervised Large Scale Object Localization with Multiple Instance Learning and Bag Splitting', IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, vol. 38, no. 2, pp. 405-416.
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Shen, F, Zhou, X, Yang, Y, Song, J, Shen, HT & Tao, D 2016, 'A Fast Optimization Method for General Binary Code Learning', IEEE TRANSACTIONS ON IMAGE PROCESSING, vol. 25, no. 12, pp. 5610-5621.
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Shi, X, Guo, Z, Nie, F, Yang, L, You, J & Tao, D 2016, 'Two-Dimensional Whitening Reconstruction for Enhancing Robustness of Principal Component Analysis', IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, vol. 38, no. 10, pp. 2130-2136.
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Tian, D & Tao, D 2016, 'Coupled Learning for Facial Deblur', IEEE TRANSACTIONS ON IMAGE PROCESSING, vol. 25, no. 2, pp. 961-972.
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Wang, M, Fu, W, Hao, S, Tao, D & Wu, X 2016, 'Scalable Semi-Supervised Learning by Efficient Anchor Graph Regularization', IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, vol. 28, no. 7, pp. 1864-1877.
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Wang, R & Tao, D 2016, 'Non-Local Auto-Encoder With Collaborative Stabilization for Image Restoration', IEEE TRANSACTIONS ON IMAGE PROCESSING, vol. 25, no. 5, pp. 2117-2129.
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Xu, C, Liu, T, Tao, D & Xu, C 2016, 'Local Rademacher Complexity for Multi-label Learning', IEEE Transactions on Image Processing, vol. 25, no. 3, pp. 1495-1507.
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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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Yu, B, Fang, M & Tao, D 2016, 'Per-Round Knapsack-Constrained Linear Submodular Bandits.', Neural computation, vol. 28, no. 12, pp. 2757-2789.
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Fu, H, Wang, C, Tao, D & Black, MJ 2016, 'Occlusion boundary detection via deep exploration of context', 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, pp. 241-250.
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Huang, S, Xu, Z, Tao, D & Zhang, Y 2016, 'Part-Stacked CNN for Fine-Grained Visual Categorization', 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), IEEE Conference on Computer Vision and Pattern Recognition, IEEE Xplore, Las Vegas, Nevada, pp. 1173-1182.
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Kang, G, Li, J & Tao, D 2016, 'Shakeout: A New Regularized Deep Neural Network Training Scheme', Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence (AAAI-16), AAAI Conference on Artificial Intelligence, AAAI, Phoenix, USA, pp. 1751-1757.
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Li, Q, Qiao, M, Bian, W & Tao, D 2016, 'Conditional graphical Lasso for multi-label image classification', 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. 2977-2986.
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Liu, X, Fan, X, Deng, C, Li, Z, Su, H & Tao, D 2016, 'Multilinear hyperplane hashing', 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. 5119-5127.
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Wang, J, Wang, Z, Tao, D, See, S & Wang, G 2016, 'Learning common and specific features for RGB-D semantic segmentation with deconvolutional networks', Computer Vision – ECCV 2016 (LNCS), European Conference on Computer Vision, Springer, Amsterdam, The Netherlands, pp. 664-679.
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Zhang, Z, Huang, K, Tan, T, Yang, P & Li, J 2016, 'ReD-SFA: Relation Discovery Based Slow Feature Analysis for Trajectory Clustering', Proceedings for the Conference on Computer Vision and Pattern Recognition, IEEE Conference on Computer Vision and Pattern Recognition, IEEE, USA, pp. 752-760.
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Ding, C & Tao, D 2015, 'Robust Face Recognition via Multimodal Deep Face Representation', IEEE TRANSACTIONS ON MULTIMEDIA, vol. 17, no. 11, pp. 2049-2058.
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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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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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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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Luo, Y, Tao, D, Ramamohanarao, K, Xu, C & Wen, Y 2015, 'Tensor Canonical Correlation Analysis for Multi-View Dimension Reduction', IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, vol. 27, no. 11, pp. 3111-3124.
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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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Weng, D, Wang, Y, Gong, M, Tao, D, Wei, H & Huang, D 2015, 'DERF: Distinctive Efficient Robust Features From the Biological Modeling of the P Ganglion Cells', IEEE TRANSACTIONS ON IMAGE PROCESSING, vol. 24, no. 8.
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Xu, C, Tao, D & Xu, C 2015, 'Multi-View Intact Space Learning', IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, vol. 37, no. 12, pp. 2531-2544.
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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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Zhang, X, Guan, N, Tao, D, Qiu, X & Luo, Z 2015, 'Online Multi-Modal Robust Non-Negative Dictionary Learning for Visual Tracking', PLOS ONE, vol. 10, no. 5.
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Zhao, L, Gao, X, Tao, D & Li, X 2015, 'Learning a Tracking and Estimation Integrated Graphical Model for Human Pose Tracking', IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, vol. 26, no. 12, pp. 3176-3186.
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Zhu, Z, You, X, Chen, CLP, Tao, D, Ou, W, Jiang, X & Zou, J 2015, 'An adaptive hybrid pattern for noise-robust texture analysis', Pattern Recognition, vol. 48, no. 8, pp. 2592-2608.
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Bian, W & Tao, D 2014, 'Asymptotic Generalization Bound of Fisher's Linear Discriminant Analysis', IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, vol. 36, no. 12, pp. 2325-2337.
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Bian, W, Zhou, T, Martinez, AM, Baciu, G & Tao, D 2014, 'Minimizing Nearest Neighbor Classification Error for Nonparametric Dimension Reduction', IEEE Transactions on Neural Networks and Learning Systems, vol. 25, no. 8, pp. 1588-1594.
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Gui, J, Tao, DC, Sun, ZN, Luo, Y, You, XG & Tang, YY 2014, 'Group Sparse Multiview Patch Alignment Framework With View Consistency for Image Classification', IEEE Transactions on Image Processing, vol. 23, no. 7, pp. 3126-3137.
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Li, Z, Gong, D, Qiao, Y & Tao, D 2014, 'Common Feature Discriminant Analysis for Matching Infrared Face Images to Optical Face Images', IEEE Transactions On Image Processing, vol. 23, no. 6, pp. 2436-2445.
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Luo, Y, Liu, T, Tao, D & Xu, C 2014, 'Decomposition-Based Transfer Distance Metric Learning for Image Classification', IEEE Transactions On Image Processing, vol. 23, no. 9, pp. 3789-3801.
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Ma, LY, Yang, XK & Tao, DC 2014, 'Person Re-Identification Over Camera Networks Using Multi-Task Distance Metric Learning', IEEE Transactions on Image Processing, vol. 23, no. 8, pp. 3656-3670.
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Song, M, Tao, D, Sun, S, Chen, C & Maybank, SJ 2014, 'Robust 3D face landmark localization based on local coordinate coding.', IEEE transactions on image processing : a publication of the IEEE Signal Processing Society, vol. 23, no. 12, pp. 5108-5122.
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Sun, Y, Liu, Q, Tang, J & Tao, D 2014, 'Learning Discriminative Dictionary for Group Sparse Representation', IEEE Transactions on Image Processing, vol. 23, no. 9, pp. 3816-3828.
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Xu, C, Tao, D & Xu, C 2014, 'Large-Margin Multi-View Information bottleneck', IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 36, no. 8, pp. 1559-1572.
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Yang, X, Gao, XB, Tao, DC & Li, XL 2014, 'Improving Level Set Method for Fast Auroral Oval Segmentation', IEEE Transactions on Image Processing, vol. 23, no. 7, pp. 2854-2865.
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You, X, Wang, R & Tao, D 2014, 'Diverse Expected Gradient Active Learning for Relative Attributes', IEEE Transactions On Image Processing, vol. 23, no. 7, pp. 3203-3217.
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Liu, T & Tao, D 2014, 'On the Robustness and Generalization of Cauchy Regression', ICIST 2014 - Proceedings of 2014 4th IEEE International Conference on Information Science and Technology, International Conference on Information and Software Technologies (ICIST), IEEE, Shenzhen, China, pp. 101-106.
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Keywords: Machine Learning,Crowdsourcing,Computer Vision

FOR Codes: Pattern Recognition and Data Mining, Expanding Knowledge in the Information and Computing Sciences, Computer Vision, Film and Video Services (excl. Animation and Computer Generated Imagery)