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D. Zhang

4 papers hereh-index 9532k citations548 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1
  • last author3

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV3
  • cs.LG1
same name
  • D. Zhang — 34 papers, h 51
  • D. Zhang — 20 papers
  • D. Zhang — 18 papers
  • D. Zhang — 8 papers
  • D. Zhang — 6 papers
  • D. Zhang — 6 papers

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20152017
most citedDomain Adaptation Extreme Learning Machines for Drift Compensation in E-nose Systems

362 citations · 370 across the 2 of their papers we have counts for

collaborators

4 papers

cs.CV2017★ 8 cited

Integrating Boundary and Center Correlation Filters for Visual Tracking with Aspect Ratio Variation

Feng Li, Yingjie Yao, Peihua Li +3

The aspect ratio variation frequently appears in visual tracking and has a severe influence on performance. Although many correlation filter (CF)-based trackers have also been sugg…

cs.CV2016

Quadratic Projection Based Feature Extraction with Its Application to Biometric Recognition

Yan Yan, Hanzi Wang, Si Chen +2

This paper presents a novel quadratic projection based feature extraction framework, where a set of quadratic matrices is learned to distinguish each class from all other classes.…

cs.CV2016

A survey of sparse representation: algorithms and applications

Zheng Zhang, Yong Xu, Jian Yang +2

Sparse representation has attracted much attention from researchers in fields of signal processing, image processing, computer vision and pattern recognition. Sparse representation…

cs.LG2015★ 362 cited

Domain Adaptation Extreme Learning Machines for Drift Compensation in E-nose Systems

Lei Zhang, David Zhang

This paper addresses an important issue, known as sensor drift that behaves a nonlinear dynamic property in electronic nose (E-nose), from the viewpoint of machine learning. Tradit…

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