no code implementations • 24 Oct 2022 • Jia Guo, Haifeng Wang, Chenping Hou
We point out that it is not sufficient to only consider the residual loss in adaptive sampling and sampling should obey temporal causality.
no code implementations • 22 May 2022 • Changchong Sheng, Gangyao Kuang, Liang Bai, Chenping Hou, Yulan Guo, Xin Xu, Matti Pietikäinen, Li Liu
Visual speech, referring to the visual domain of speech, has attracted increasing attention due to its wide applications, such as public security, medical treatment, military defense, and film entertainment.
no code implementations • 16 Dec 2019 • Hong Tao, Chenping Hou, Yuhua Qian, Jubo Zhu, Dongyun Yi
LCRSR is able to recover the row space of the latent representation, which not only carries complete information from multiple views but also determines the subspace membership under certain conditions.
no code implementations • 25 Dec 2018 • Hong Tao, Chenping Hou, Dongyun Yi, Jubo Zhu, Dewen Hu
More interestingly, some linear transformation based complete multi-view methods can be adapted to IML directly with the guidance of the framework.
no code implementations • 1 Nov 2017 • Chenping Hou, Ling-Li Zeng, Dewen Hu
It provides various candidate classifiers to meet the following assumption of security operation.
no code implementations • 30 May 2016 • Chenping Hou, Zhi-Hua Zhou
In many real tasks the features are evolving, with some features being vanished and some other features augmented.
no code implementations • 21 Apr 2015 • Hong Tao, Chenping Hou, Feiping Nie, Yuanyuan Jiao, Dongyun Yi
In this paper, a feature selection method is proposed by combining the popular transformation based dimensionality reduction method Linear Discriminant Analysis (LDA) and sparsity regularization.