Year: 2014
Type: conference-paper
Abstract: . This paper describes the first edition of the Domain Adapta-tion Task at ImageCLEF 2014. Domain adaptation refers to the challenge of leveraging over knowledge acquired when learning to recognize given classes on a database, when using a different data collection. We de-scribe the scientific motivations behind the task, the research challenge on which the 2014 edition focused, the data and evaluation metric and results obtained by participants. After a discussion on the lesson learned during this first edition, we conclude with possible ideas for future edi-tions of the task. 1
Authors: Barbara Caputo, Novi Patricia
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W2161479547