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Copyright Notice: Copyright is retained by authors and/or by copyright holders, e.g., IEEE and ACM.

 

Representative Publications

 

10

D. Tao et al., ¡°Geometric Mean for Subspace Selection in Multiclass Classification,¡± IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 30, 2008.

+The conference version won the Best theory/algorithms paper runner up award in IEEE International Conference on Data Mining (ICDM), 2007.

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09

D. Tao et al., ¡°General Tensor Discriminant Analysis and Gabor Features for Gait Recognition,¡± IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 29, no. 10, 1,700-1,715, October 2007.

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08

D. Tao et al., ¡°Asymmetric Bagging and Random Subspace for Support Vector Machines-based Relevance Feedback in Image Retrieval,¡± IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 28, no.7, pp. 1,088-1,099, July 2006.

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07

D. Tao et al., ¡°Negative Samples Analysis in Relevance Feedback,¡± IEEE Transactions on Knowledge and Data Engineering (TKDE), vol. 19, no. 4, pp. 568-580, April 2007.

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06

D. Tao et al., ¡°Kernel Direct Biased Discriminant Analysis: A New Content-based Image Retrieval Relevance Feedback Algorithm,¡± IEEE Transactions on Multimedia (TMM), vol. 8, no. 4, pp. 716-727, August 2006.

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05

D. Tao et al., ¡°Supervised Tensor Learning,¡± Knowledge and Information Systems (Springer: KAIS), vol. 13, no. 1, pp. 1-42, January 2007.

+The conference version is published in the IEEE International Conference on Data Mining (ICDM), 2005. (Acceptance rate: ~11%)

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04

D. Xu, S. Yan, D. Tao, S. Lin, and H.-J. Zhang, ¡°Marginal Fisher Analysis and Its Variants for Human Gait Recognition and Content Based Image Retrieval,¡± IEEE Transactions on Image Processing (TIP), vol. 16, no. 11, pp. 2,811-2,821, November 2007.

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03

D. Tao et al., ¡°Which Components Are Important for Interactive Image Searching?,¡± IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 18, no. 1, pp. 1-11, January 2008.

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02

D. Tao et al., ¡°Bayesian Tensor Approach for 3D Face Modelling,¡± IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 18, 2008.

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01

J. Sun, D. Tao, S. Papadimitriou, P. Yu, and C. Faloutsos, ¡°Incremental Tensor Analysis: theory and applications,¡± ACM Transactions on Knowledge Discovery in Data (ACM TKDD), 2008.

+The conference version is published in the 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), pp. 374-383, August, 2006. (Acceptance rate: ~11%)

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Year 2008

¡¡

21

D. Tao, D. Xu, and X. Li, Semantic Mining Technologies for Multimedia Databases, Published by Idea Group Inc. [Book]

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20

X. Yao, X. Li, and D. Tao, Computational Intelligence and Its Applications, Published by the Press of University of Science and Technology of China. [Book]

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19

D. Tao et al., ¡°Geometric Mean for Subspace Selection in Multiclass Classification,¡± IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 30, 2008.

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18

J. Sun, D. Tao et al., ¡°Incremental Tensor Analysis: theory and applications,¡± ACM Transactions on Knowledge Discovery in Data (ACM TKDD), 2008.

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17

Y. Huang, K. Huang, D. Tao, L. Wang, X. Li, and T. Tan, ¡°Enhanced Biologically Inspired Model,¡± IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2008.

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16

T. Zhang, D. Tao, and J. Yang, ¡°Discriminative Locality Alignment,¡± The 10th European Conference on Computer Vision (ECCV), 2008.

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15

Y. Pang, D. Tao et al., ¡°Binary Two-Dimensional PCA,¡± IEEE Transactions on Systems, Man and Cybernetics, Part: B. (TSMC-B).

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14

T. Zhang, K. Huang, X. Li, J. Yang, and D. Tao, ¡°Discriminative Orthogonal Neighborhood Preserving Projections for Classification,¡± IEEE Transactions on Systems, Man and Cybernetics, Part: B. (TSMC-B).

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13

X. Gao, X. Li, J. Feng, and D. Tao, ¡°Shot-based Video Retrieval with Optical Flow Tensor and HMM,¡± Pattern Recognition Letters (Elsevier), 2008.

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12

D. Tao et al., ¡°Tensor Rank One Discriminant Analysis,¡± Neurocomputing, 2008.

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11

X. Gao, J. Zhong, D. Tao, and X. Li, ¡°Local Face Sketch Synthesis Learning,¡± Neurocomputing, 2008.

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10

X. Li, D. Tao, S. J. Maybank, and Y. Yuan, ¡°A Novel Music Information Retrieval Approach,¡± Neurocomputing, 2008.

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09

X. Gao, Y. Yang, D. Tao, and X. Li, ¡°Discriminative Optical Flow Tensor for Video Semantic Analysis,¡± Computer Vision and Image Understanding (CVIU), 2008.

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08

T. Zhang, X. Li, D. Tao, and J. Yang, ¡°Local Coordinates Alignment (LCA): A Novel Method for Manifold Learning,¡± International Journal of Pattern Recognition and Artificial Intelligence (World Scientific).

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07

X. Gao, W. Lu, X. Li, and D. Tao, ¡°Contourlet in Quality Evaluation of Digital Images,¡± Neurocomputing, 2008.

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06

T. Zhang, X. Li, J. Yang, and D. Tao, ¡°Multimodal Biometrics using Geometry Preserving Projections,¡± Pattern Recognition (PR), vol. 41, no. 3, pp. 805-813, March 2008.

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05

X. Gao, B. Xiao, D. Tao, and X. Li, ¡°Image Categorization: Graph Edit Distance + Edge Direction Histogram,¡± Pattern Recognition (PR), 2008.

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04

J. Li, X. Li, and D. Tao, ¡°KPCA for Semantic Object Extraction in Images,¡± Pattern Recognition (PR), 2008.

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03

W. Lu, X. Gao, D. Tao, and X. Li, ¡°A Wavelet-based Image Quality Assessment Method,¡± International Journal of Wavelets, Multiresolution and Information Processing (World Scientific).

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02

D. Tao et al., ¡°Bayesian Tensor Analysis,¡± IEEE International Joint Conference on Neural Networks (IJCNN) as part of IEEE World Congress on Computational Intelligence (WCCI), 2008.

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01

T. Zhang, D. Tao et al., ¡°A Unifying Framework for Spectral Analysis based Dimensionality Reduction,¡± IEEE International Joint Conference on Neural Networks (IJCNN) as part of IEEE World Congress on Computational Intelligence (WCCI), 2008.

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Year 2007

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15

D. Tao, Discriminative Linear and Multilinear Subspace Methods, PhD Thesis, University of London (UoL), 2007.

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14

D. Tao et al., ¡°General Tensor Discriminant Analysis and Gabor Features for Gait Recognition,¡± IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 29, no. 10, 1,700-1,715, October 2007.

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13

D. Tao et al., ¡°Negative Samples Analysis in Relevance Feedback,¡± IEEE Transactions on Knowledge and Data Engineering (TKDE), vol. 19, no. 4, pp. 568-580, April 2007.

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12

D. Tao et al., ¡°Which Components Are Important for Interactive Image Searching?,¡± IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 18, no. 1., pp. 1-11, January 2008.

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11

D. Tao et al., ¡°Supervised Tensor Learning,¡± Knowledge and Information Systems (Springer: KAIS), vol. 13, no. 1, pp. 1-42, January 2007.

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10

D. Xu, S. Yan, D. Tao, S. Lin, and H.-J. Zhang, ¡°Marginal Fisher Analysis and Its Variants for Human Gait Recognition and Content Based Image Retrieval,¡± IEEE Transactions on Image Processing (TIP), vol. 16, no. 11, pp. 2,811-2,821, November 2007.

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09

X. Li, S. J. Maybank, S. Yan, D. Tao, and D. Xu, ¡°Biometrics Gait Components Review and Application for Gender Recognition,¡± IEEE Transactions on Systems, Man and Cybernetics Part C (TSMC-C).

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08

D. Tao et al., ¡°General Averaged Divergences Analysis,¡± IEEE International Conference on Data Mining (ICDM), pp. 302-311, 2007. (Acceptance rate: 40/530)

+ Best theory/algorithms paper runner up award in IEEE ICDM 2007.

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07

D. Tao et al., ¡°Probabilistic Tensor Analysis with Akaike and Bayesian Information Criteria,¡± the 14th International Conference on Neural Information Processing (ICONIP), 2007.

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06

T. Zhang, X. Li, D. Tao, D. Zhao, and J. Yang, ¡°Local Coordinates Alignment and Its Linearalization,¡± the 14th International Conference on Neural Information Processing (ICONIP), 2007.

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05

X. Li, S. Maybank, and D. Tao, ¡°Recognition Based on Local Body Motions,¡± IEEE International Conference on Systems, Man and Cybernetics (SMC), Montreal, Canada, 2007.

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04

C. Deng, X. Gao, D. Tao, and X. Li, ¡°Digital Watermarking in Image Affine Co-Variant Regions,¡± IEEE International Conference on Machine Learning and Cybernetics (ICMLC), vol. 4, pp. 2,125¨C2,130, August 2007.

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03

D. Tao and X. Li, ¡°Machine Learning in Image and Graphics,¡± International Journal of Image and Graphics (IJIG), vol. 7, no. 3, 2007.

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02

D. Xu, D. Tao, X. Li, S. Yan, ¡°Face Recognition: A Generalized Marginal Fisher Analysis Approach,¡± International Journal of Image and Graphics (IJIG), vol. 7, no. 3, 2007.

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01

X. Li, J. Li, D. Tao, Y. Yuan, ¡°A Similarity Metric in Image Searching,¡± International Journal of Image and Graphics (IJIG), vol. 7, no. 2, pp. 1-15, 2007.

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Year 2006

¡¡

08

D. Tao et al., ¡°Asymmetric Bagging and Random Subspace for Support Vector Machines-based Relevance Feedback in Image Retrieval,¡± IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 28, no.7, pp. 1,088-1,099, July 2006.

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07

D. Tao et al., ¡°Kernel Direct Biased Discriminant Analysis: A New Content-based Image Retrieval Relevance Feedback Algorithm,¡± IEEE Transactions on Multimedia (TMM), vol. 8, no. 4, pp. 716-727, August 2006.

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06

J. Li, N. Allinsion, D. Tao, and X. Li, ¡°Multitraining Support Vector Machine for Image Retrieval,¡± IEEE Transactions on Image Processing (TIP), vol. 15, no. 11, pp. 3,597-3,601, November 2006.

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05

D. Xu, S. Yan, D. Tao, X. Li, X. Tang, and H.-J. Zhang, ¡°Human Gait Recognition With Matrix Representation,¡± IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 16, no. 7, pp. 896-903, July 2006.

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04

X. Li, Y. Yuan, and D. Tao, ¡°Artistic Mosaic Series Generation,¡± International Journal of Image and Graphics (IJIG), vol. 6, no. 1, pp. 139-154, January 2006.

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03

J. Sun, D. Tao, and C. Faloutsosy, ¡°Beyond Streams and Graphs: Dynamic Tensor Analysis,¡± ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), pp. 374-383, August 2006. (Acceptance rate: ~11%)

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02

D. Tao et al., ¡°Human Carrying Status in Visual Surveillance,¡± IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), vol. 2, pp. 1,670-1,677, June 2006. (Acceptance rate: ~20%)

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01

D. Tao et al., ¡°Elapsed Time in Human Gait Recognition: A New Approach,¡± IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2006.

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Year 2005

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03

D. Tao et al., ¡°Supervised Tensor Learning,¡± IEEE International Conference on Data Mining (ICDM), pp. 450-457, 2005. (Acceptance rate: ~11%)

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02

D. Tao et al., ¡°Stable Third-Order Tensor Representation for Color Image Classification,¡± IEEE International Conference on Web Intelligence (WI), pp. 641-644, 2005.

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01

J. Li, D. Tao, and X. Li, ¡°Kernel Principle Component Analysis in Pixels Clustering,¡± IEEE International Conference on Web Intelligence (WI), pp. 786-789, 2005.

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Year 2004

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11

D. Tao and X. Tang, ¡°Random Sampling Based SVM for Relevance Feedback Image Retrieval,¡± IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), pp. 647-652, 2004. (Acceptance rate: ~17%)

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10

D. Tao and X. Tang, ¡°Orthogonal Complement Component Analysis for Positive Samples in SVM Based Relevance Feedback Image Retrieval,¡± IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), pp. 586-591, 2004. (Acceptance rate: ~17%)

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09

D. Tao and X. Tang, ¡°Nonparametric Discriminant Analysis in Relevance Feedback for Content-based Image Retrieval,¡± IEEE International Conference on Pattern Recognition (ICPR), pp. 1,013-1,016, 2004.

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08

D. Tao, H. Liu, and X. Tang, ¡°K-Box: A Query-by-Singing based Music Retrieval System,¡± ACM International Conference on Multimedia (MM), pp. 464-467, 2004.

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07

X. Tang, D. Tao, and G. E. Antoniou, ¡°Texture Classification of SARS Infected Region in Radiographic Image,¡± IEEE International Conference on Image Processing (ICIP), pp. 2,941-2,944, 2004.

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06

D. Tao and X. Tang, ¡°A Direct Method to Solve the Biased Discriminant Analysis in Kernel Feature Space for Content-based Image Retrieval,¡± IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 441-444, 2004.

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05

D. Tao and X. Tang, ¡°SVM-based Relevance Feedback Using Random Subspace Method,¡± IEEE International Conference on Multimedia and Expo (ICME), pp. 647-652, 2004.

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04

D. Tao and X. Tang, ¡°Kernel Full-space Biased Discriminant Analysis,¡± IEEE International Conference on Multimedia and Expo (ICME), pp. 1,287-1,290, 2004.

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03

K. Tam, L. C. Yu, D. Tao, H. Liu, and X. Tang, ¡°Content-based SMILTM Retrieval,¡± Proc. SPIE International Conference on Image and Graphics (ICIG), pp. 146-149, 2004.

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