Introduction to Domain Adaptation

Hemanth Venkateswara; Sethuraman Panchanathan

doi:10.1007/978-3-030-45529-3_1

Introduction to Domain Adaptation

Hemanth Venkateswara, Sethuraman Panchanathan

Research output: Chapter in Book/Report/Conference proceeding › Chapter

4 Scopus citations

Abstract

This chapter provides a formal introduction to transfer learning. We define transfer learning and provide examples of different forms of transfer learning in machine learning including domain adaptation. We outline different forms of domain adaptation and derive it’s performance bounds. The final section presents a brief description of the chapters in the book.

Original language	English (US)
Title of host publication	Domain Adaptation in Computer Vision with Deep Learning
Publisher	Springer International Publishing
Pages	3-21
Number of pages	19
ISBN (Electronic)	9783030455293
ISBN (Print)	9783030455286
DOIs	https://doi.org/10.1007/978-3-030-45529-3_1
State	Published - Jan 1 2020
Externally published	Yes

Keywords

Domain adaptation
Domain alignment
Domain discrepancy
Knowledge transfer
Transfer learning

ASJC Scopus subject areas

General Computer Science
General Engineering

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10.1007/978-3-030-45529-3_1

Cite this

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Introduction to Domain Adaptation

Abstract

Keywords

ASJC Scopus subject areas

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