Discriminative metric learning for multi-view graph partitioning

Juan-Hui Li; Chang‐Dong Wang; Peizhen Li; Jianhuang Lai

doi:10.1016/j.patcog.2017.06.012

ScienceGate Book Chapters

JOURNAL ARTICLE

Discriminative metric learning for multi-view graph partitioning

Juan-Hui Li Chang‐Dong Wang Peizhen Li Jianhuang Lai

Year: 2017 Journal: Pattern Recognition Vol: 75 Pages: 199-213 Publisher: Elsevier BV

DOI: 10.1016/j.patcog.2017.06.012

Get Full-Text PDF Get Analytical Report

Keywords:

Discriminative model Computer science Graph Theoretical computer science Metric (unit) Artificial intelligence Metric space Topology (electrical circuits) Pattern recognition (psychology) Mathematics Machine learning Discrete mathematics Combinatorics

Metrics

Cited By

5.88

FWCI (Field Weighted Citation Impact)

Refs

0.96

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Complex Network Analysis Techniques

Physical Sciences → Physics and Astronomy → Statistical and Nonlinear Physics

Human Mobility and Location-Based Analysis

Social Sciences → Social Sciences → Transportation

Image and Video Quality Assessment

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Discriminative metric learning for multi-view graph partitioning

Metrics

Citation History

Topics

Related Documents

Graph Anomaly Detection via Multi-View Discriminative Awareness Learning

Metric Multi-View Graph Clustering

Bipartite Graph-based Discriminative Feature Learning for Multi-View Clustering

Multi-view Discriminative Sequential Learning

Diverse representation-guided graph learning for multi-view metric clustering