Search Results for author: Chenping Hou

Found 7 papers, 0 papers with code

A Novel Adaptive Causal Sampling Method for Physics-Informed Neural Networks

no code implementations24 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.

Deep Learning for Visual Speech Analysis: A Survey

no code implementations22 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.

Deep Learning speech-recognition +2

Latent Complete Row Space Recovery for Multi-view Subspace Clustering

no code implementations16 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.

Clustering graph construction +1

Joint Embedding Learning and Low-Rank Approximation: A Framework for Incomplete Multi-view Learning

no code implementations25 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.

Clustering MULTI-VIEW LEARNING

Secure Classification With Augmented Features

no code implementations1 Nov 2017 Chenping Hou, Ling-Li Zeng, Dewen Hu

It provides various candidate classifiers to meet the following assumption of security operation.

Classification General Classification

One-Pass Learning with Incremental and Decremental Features

no code implementations30 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.

Effective Discriminative Feature Selection with Non-trivial Solutions

no code implementations21 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.

Dimensionality Reduction feature selection

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