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Unmixing Incoherent Structures of Big Data by Randomized or Greedy Decomposition
Tianyi Zhou, Dacheng Tao
Learning big data by matrix decomposition always suffers from expensive computation, mixing of complicated structures and noise. In this paper, we study more adaptive models and ef…
Learning to Rank for Blind Image Quality Assessment
Fei Gao, Dacheng Tao, Xinbo Gao +1
Blind image quality assessment (BIQA) aims to predict perceptual image quality scores without access to reference images. State-of-the-art BIQA methods typically require subjects t…
Multiview Hessian Discriminative Sparse Coding for Image Annotation
Weifeng Liu, Dacheng Tao, Jun Cheng +1
Sparse coding represents a signal sparsely by using an overcomplete dictionary, and obtains promising performance in practical computer vision applications, especially for signal r…
Sparse Norm Filtering
Chengxi Ye, Dacheng Tao, Mingli Song +2
Optimization-based filtering smoothes an image by minimizing a fidelity function and simultaneously preserves edges by exploiting a sparse norm penalty over gradients. It has obtai…
A Survey on Multi-view Learning
Chang Xu, Dacheng Tao, Chao Xu
In recent years, a great many methods of learning from multi-view data by considering the diversity of different views have been proposed. These views may be obtained from multiple…
Sparse Camera Network for Visual Surveillance -- A Comprehensive Survey
Mingli Song, Dachent Tao, Stephen J. Maybank
Technological advances in sensor manufacture, communication, and computing are stimulating the development of new applications that are transforming traditional vision systems into…