no code implementations • 24 May 2020 • Yaxin Shi, Yuangang Pan, Donna Xu, Ivor W. Tsang
Multi-view alignment, achieving one-to-one correspondence of multi-view inputs, is critical in many real-world multi-view applications, especially for cross-view data analysis problems.
no code implementations • 4 Jul 2019 • Yaxin Shi, Yuangang Pan, Donna Xu, Ivor Tsang
Although some works have studied probabilistic interpretation for CCA, these models still require the explicit form of the distributions to achieve a tractable solution for the inference.
no code implementations • 2 Jan 2019 • Donna Xu, Yaxin Shi, Ivor W. Tsang, Yew-Soon Ong, Chen Gong, Xiaobo Shen
Multi-output learning aims to simultaneously predict multiple outputs given an input.
no code implementations • 27 Sep 2018 • Yaxin Shi, Donna Xu, Yuangang Pan, Ivor Tsang
Based on this objective, we present an implicit probabilistic formulation for CCA, named Implicit CCA (ICCA), which provides a flexible framework to design CCA extensions with implicit distributions.
no code implementations • 3 May 2018 • Yaxin Shi, Donna Xu, Yuangang Pan, Ivor W. Tsang, Shirui Pan
In this paper, we propose a general Partial Heterogeneous Context Label Embedding (PHCLE) framework to address these challenges.
no code implementations • 29 Nov 2017 • Donna Xu, Ivor W. Tsang, Ying Zhang
The experiments demonstrate that our online PQ model is both time-efficient and effective for ANN search in dynamic large scale databases compared with baseline methods and the idea of partial PQ codebook update further reduces the update cost.