TRANSFERRED OUT - Multiview Complete Space Learning for Sparse Camera Network Research

Funding: 2013: $123,393
2014: $234,036
2015: $224,036
2016: $224,036
2017: $110,643

Funding or Partner Organisation: Australian Research Council (ARC Future Fellowships)

Start year: 2014

Summary: Data analytics in video surveillance and social computing is a problem because data are represented by multiple heterogeneous features. This project will develop a Multiview Complete Space Learning framework to exploit heterogeneous properties to represent images obtained from sparse camera networks. It will integrate multiple features to identify people and understand behaviour, to build a database of activities occurring in a wide area of surveillance. It will expand frontier technologies and safeguard Australia by providing warnings for hazardous (eg. overcrowding, trespassing), criminal, and terrorist situations. Results will: be applicable internationally; enhance Australia's role in machine learning and computer vision communities.

Publications:

Mei, T, Li, L, Tian, X, Tao, D & Ngo, C-W 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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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, vol. 28, no. 12, pp. 2961-2973.
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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, Da Xu, RY, 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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Li, J, Mei, X, Prokhorov, D & Tao, D 2017, 'Deep Neural Network for Structural Prediction and Lane Detection in Traffic Scene', IEEE Transactions on Neural Networks and Learning Systems, vol. 28, no. 3, pp. 690-703.
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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, T, Tao, D, Song, M & Maybank, SJ 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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Qiao, M, Xu, RYD, Bian, W & Tao, D 2017, 'Fast Sampling for Time-Varying Determinantal Point Processes', ACM Transactions on Knowledge Discovery from Data, vol. 11, no. 1, pp. 1-24.
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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, pp. 1-21.
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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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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 Trans. Image Process., vol. 25, no. 3, pp. 1327-1339.
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Cheng, J, Tao, D, Quan, Y, Wong, DWK, Cheung, GCM, Akiba, M & Liu, J 2016, 'Speckle Reduction in 3D Optical Coherence Tomography of Retina by A-Scan Reconstruction', IEEE Transactions on Medical Imaging, vol. 35, no. 10, pp. 2270-2279.
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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, vol. 27, no. 12, pp. 2472-2485.
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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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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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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 Trans. Image Process., 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, Q, Tao, D & Li, X 2016, 'Mutual Component Analysis for Heterogeneous Face Recognition.', ACM Trans. Intell. Syst. Technol., vol. 7, no. 3, pp. 28:1-28:1.
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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 Trans. Image Process., 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 Trans. Image Process., 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 Trans. Image Process., vol. 25, no. 2, pp. 700-712.
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Liu, Q, Sun, Y, Wang, C, Liu, T & Tao, D 2016, '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 & 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, Gong, M & Tao, D 2016, 'Large-Cone Nonnegative Matrix Factorization', IEEE Transactions on Neural Networks and Learning Systems, vol. 28, no. 9, pp. 1-14.
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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. 1-1.
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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 Trans. Image Process., 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 Trans. Image Process., 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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Ren, W, Huang, K, Tao, D & Tan, T 2016, 'Weakly Supervised Large Scale Object Localization with Multiple Instance Learning and Bag Splitting.', IEEE Trans. Pattern Anal. Mach. Intell., 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 Trans. Image Process., 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 Trans. Image Process., vol. 25, no. 5, pp. 2117-2129.
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Xie, Y, Qu, Y, Tao, D, Wu, W, Yuan, Q & Zhang, W 2016, 'Hyperspectral Image Restoration via Iteratively Regularized Weighted Schatten p-Norm Minimization.', IEEE Trans. Geosci. Remote. Sens., vol. 54, no. 8, pp. 4642-4659.
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Xie, Y, Zhang, W, Tao, D, Hu, W, Qu, Y & Wang, H 2016, 'Removing Turbulence Effect via Hybrid Total Variation and Deformation-Guided Kernel Regression', IEEE Transactions on Image Processing, vol. 25, no. 10, pp. 4943-4958.
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Xu, Z, Hong, Z, Zhang, Y, Wu, J, Tsoi, AC & Tao, D 2016, 'Multinomial Latent Logistic Regression for Image Understanding.', IEEE Trans. Image Process., vol. 25, no. 2, pp. 973-987.
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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 Trans. Neural Networks Learn. Syst., 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 1970, 'Occlusion Boundary Detection via Deep Exploration of Context', 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), IEEE, Las Vegas, Nevada, pp. 241-250.
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Li, Q, Qiao, M, Bian, W & Tao, D 1970, 'Conditional Graphical Lasso for Multi-label Image Classification', 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. 2977-2986.
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Liu, X, Fan, X, Deng, C, Li, Z, Su, H & Tao, D 1970, 'Multilinear Hyperplane Hashing', 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. 5119-5127.
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Wang, J, Wang, Z, Tao, D, See, S & Wang, G 1970, 'Learning Common and Specific Features for RGB-D Semantic Segmentation with Deconvolutional Networks', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), European Conference on Computer Vision, Springer International Publishing, Amsterdam, The Netherlands, pp. 664-679.
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Ding, C & Tao, D 2015, 'Robust Face Recognition via Multimodal Deep Face Representation.', CoRR, vol. abs/1509.00244, no. 11, pp. 2049-2058.
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Ding, C, Xu, C & Tao, D 2015, 'Multi-Task Pose-Invariant Face Recognition.', IEEE Trans. Image Process., vol. 24, no. 3, pp. 980-993.
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Gao, Y, Shi, M, Tao, D & Xu, C 2015, 'Database Saliency for Fast Image Retrieval.', IEEE Trans. Multim., 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 Trans. Ind. Electron., 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 Trans. Image Process., 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 Trans. Neural Networks Learn. Syst., 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 Trans. Neural Networks Learn. Syst., vol. 26, no. 6, pp. 1275-1286.
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Huang, K, Wang, C & Tao, D 2015, 'High-Order Topology Modeling of Visual Words for Image Classification.', IEEE Trans. Image Process., vol. 24, no. 11, pp. 3598-3608.
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Li, J, Lin, X, Rui, X, Rui, Y & Tao, D 2015, 'A Distributed Approach Toward Discriminative Distance Metric Learning.', IEEE Trans. Neural Networks Learn. Syst., 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 Trans. Image Process., 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 Recognit., 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 Trans. Image Process., 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 Trans. Image Process., 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 Trans. Image Process., vol. 24, no. 1, pp. 471-483.
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Liu, X, Tao, D, Song, M, Zhang, L, Bu, J & Chen, C 2015, 'Learning to Track Multiple Targets.', IEEE Trans. Neural Networks Learn. Syst., vol. 26, no. 5, pp. 1060-1073.
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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 Process. Lett., 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 Trans. Image Process., vol. 24, no. 8, pp. 2355-2368.
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Luo, Y, Tao, D, Wen, Y, Ramamohanarao, K & Xu, C 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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Mei, X, Hong, Z, Prokhorov, DV & Tao, D 2015, 'Robust Multitask Multiview Tracking in Videos.', IEEE Trans. Neural Networks Learn. Syst., vol. 26, no. 11, pp. 2874-2890.
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Miao, J, Xu, X, Qiu, S, Qing, C & Tao, D 2015, 'Temporal Variance Analysis for Action Recognition.', IEEE Trans. Image Process., vol. 24, no. 12, pp. 5904-5915.
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Qiao, M, Bian, W, Xu, RYD & Tao, D 2015, 'Diversified Hidden Markov Models for Sequential Labeling.', IEEE Trans. Knowl. Data Eng., 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 Trans. Image Process., 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 Trans. Cybern., 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 Trans. Intell. Syst. Technol., vol. 7, no. 1, pp. 9:1-9:1.
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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 Trans. Image Process., vol. 24, no. 8, pp. 2287-2302.
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Xu, C, Tao, D & Xu, C 2015, 'Multi-View Intact Space Learning.', IEEE Trans. Pattern Anal. Mach. Intell., 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 Trans. Image Process., vol. 24, no. 12, pp. 5812-5825.
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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 Trans. Image Process., 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 Trans. Image Process., 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 Trans. Image Process., 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, pp. e0124685-e0124685.
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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 Trans. Neural Networks Learn. Syst., vol. 26, no. 12, pp. 3176-3186.
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Zhao, L, Gao, X, Tao, D & Li, X 2015, 'Tracking Human Pose Using Max-Margin Markov Models.', IEEE Trans. Image Process., vol. 24, no. 12, pp. 5274-5287.
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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 Recognit., vol. 48, no. 8, pp. 2592-2608.
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Huang, S, Xu, Z, Tao, D & Zhang, Y 1970, 'Part-Stacked CNN for Fine-Grained Visual Categorization', Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, IEEE Conference on Computer Vision and Pattern Recognition, IEEE Xplore, Las Vegas, Nevada, pp. 1173-1182.
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Ding, C, Choi, J, Tao, D & Davis, LS 2014, 'Multi-Directional Multi-Level Dual-Cross Patterns for Robust Face Recognition.', CoRR, vol. abs/1401.5311, no. 3, pp. 518-531.
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Gui, J, Tao, D, Sun, Z, Luo, Y, You, X & Tang, YY 2014, 'Group Sparse Multiview Patch Alignment Framework With View Consistency for Image Classification.', IEEE Trans. Image Process., vol. 23, no. 7, pp. 3126-3137.
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Li, X & Tao, D 2014, 'Video Face Editing Using Temporal-Spatial-Smooth Warping.', CoRR, vol. abs/1408.2380, no. 3.
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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 Trans. Image Process., vol. 23, no. 6, pp. 2436-2445.
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Liu, T & Tao, D 2014, '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, 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. e108474-e108474.
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Luo, Y, Liu, T, Tao, D & Xu, C 2014, 'Decomposition-Based Transfer Distance Metric Learning for Image Classification.', IEEE Trans. Image Process., vol. 23, no. 9, pp. 3789-3801.
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Ma, L, Yang, X & Tao, D 2014, 'Person Re-Identification Over Camera Networks Using Multi-Task Distance Metric Learning.', IEEE Trans. Image Process., vol. 23, no. 8, pp. 3656-3670.
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Qiao, M, Cheng, J, Bian, W & Tao, D 2014, 'Biview Learning for Human Posture Segmentation from 3D Points Cloud', PLoS ONE, vol. 9, no. 1, pp. e85811-e85811.
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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 Trans. Image Process., 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 Trans. Image Process., vol. 23, no. 9, pp. 3816-3828.
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Wang, Y, Tao, D, Li, X, Song, M, Bu, J & Tan, P 2014, 'Video Tonal Stabilization via Color States Smoothing.', IEEE Trans. Image Process., vol. 23, no. 11, pp. 4838-4849.
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Xu, C, Liu, T, Tao, D & Xu, C 2014, 'Local Rademacher Complexity for Multi-label Learning', IEEE Transactions on Image Processing, vol. 25, no. 3, pp. 1495-1507.
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Xu, C, Tao, D & Xu, C 2014, 'Large-Margin Multi-ViewInformation Bottleneck.', IEEE Trans. Pattern Anal. Mach. Intell., vol. 36, no. 8, pp. 1559-1572.
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You, X, Wang, R & Tao, D 2014, 'Diverse Expected Gradient Active Learning for Relative Attributes.', IEEE Trans. Image Process., vol. 23, no. 7, pp. 3203-3217.
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Hong, Z, Wang, C, Mei, X, Prokhorov, DV & Tao, D 1970, 'Tracking Using Multilevel Quantizations.', ECCV (6), European Conference on Computer Vision, Springer, Switzerland, pp. 155-171.
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Liu, T & Tao, D 1970, 'On the robustness and generalization of Cauchy regression', 2014 4th IEEE International Conference on Information Science and Technology, 2014 4th IEEE International Conference on Information Science and Technology (ICIST), IEEE, Shenzhen, China, pp. 100-105.
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Gao, F, Tao, D, Gao, X & Li, X 2013, '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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Shen, H, Tao, D & Ma, D 2013, 'Multiview Locally Linear Embedding for Effective Medical Image Retrieval', PLoS ONE, vol. 8, no. 12, pp. e82409-e82409.
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Bian, W & Tao, D 2012, 'Asymptotic Generalization Bound of Fisher's Linear Discriminant Analysis', CoRR, vol. abs/1208.3030, no. 12, pp. 2325-2337.
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Keywords: Machine Learning,Computer Vision,Video Surveillance

FOR Codes: Pattern Recognition and Data Mining, Intelligence, Computer Vision, Electronic Information Storage and Retrieval Services, Machine learning, Intelligence, surveillance and space