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Ivor W. Tsang
Researcher at University of Technology, Sydney
Publications - 361
Citations - 22076
Ivor W. Tsang is an academic researcher from University of Technology, Sydney. The author has contributed to research in topics: Computer science & Support vector machine. The author has an hindex of 64, co-authored 322 publications receiving 18649 citations. Previous affiliations of Ivor W. Tsang include Hong Kong University of Science and Technology & Agency for Science, Technology and Research.
Papers
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Journal ArticleDOI
Making Trillion Correlations Feasible in Feature Grouping and Selection
TL;DR: A novel learning approach that exploits the presence of sparse correlations for the efficient identifications of informative and correlated feature groups from big dimensional data that translates to a reduction in complexity from O(m2n) to O(mlogm + Kamn), where Ka ≪ min(m; n) generally holds.
Proceedings Article
Parameter-free spectral kernel learning
Qi Mao,Ivor W. Tsang +1 more
TL;DR: In this paper, a semi-supervised kernel learning method is proposed which can seamlessly combine manifold structure of unlabeled data and Regularized Least Squares (RLS) to learn a new kernel matrix.
Journal ArticleDOI
The Pulse of Urban Transport: Exploring the Co-evolving Pattern for Spatio-temporal Forecasting
TL;DR: This work proposes a novel method, known as co-evolving spatial temporal neural network (CEST), which learns a multi-view demand representation for each mode of transport, extracts the co- Evolving pattern, then predicts the demand for the target transportation based on multi-scale representation, which includes fine-scale demand information and coarse-scale pattern information.
Journal ArticleDOI
Online Product Quantization
TL;DR: Wang et al. as discussed by the authors developed an online product quantization (online PQ) model and incrementally updated the quantization codebook that accommodates to the incoming streaming data.