Multi-Instance Dimensionality Reduction via Sparsity and Orthogonality
Work
Year: 2018
Type: article
Abstract: We study a multi-instance (MI) learning dimensionality-reduction algorithm through sparsity and orthogonality, which is especially useful for high-dimensional MI data sets. We develop a novel algorith... more
Source: Neural Computation
Authors Hong Zhu, Li‐Zhi Liao, Michael K. Ng
Institutions Jiangsu University, Hong Kong Baptist University
Cites: 35
Cited by: 3
Related to: 10
FWCI: 0.362
Citation percentile (by year/subfield): 35.68
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: bronze