Low-resolution image categorization via heterogeneous domain adaptation-Reference-Cited by-同舟云学术

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Low-resolution image categorization via heterogeneous domain adaptation

Published:2019-01 Issue: Volume:163 Page:656-665
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Yao Yuan,Li Xutao,Ye Yunming,Liu Feng,Ng Michael K.,Huang Zhichao,Zhang Yu

Funder

National Key R&D Program of China

Shenzhen Science and Technology Program, China

NSFC, China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference31 articles.

1. Simultaneous super-resolution and feature extraction for recognition of low-resolution faces;Hennings-Yeomans,2008

2. Very low resolution face recognition problem;Zou;TIP,2012

3. Graph discriminant analysis on multi-manifold (gdamm): A novel super-resolution method for face recognition;Jiang,2012

4. Low-resolution face recognition via coupled locality preserving mappings;Li;IEEE Signal Process. Lett.,2010

5. Coupled kernel embedding for low-resolution face image recognition;Ren;TIP,2012

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4. Domain Adaptation Support Tensor Machine: An Extended STM for Object Recognition Using Cross-Source Heterogeneous Remote Sensing Data;IEEE Transactions on Geoscience and Remote Sensing;2023

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