Electronic non-text material in patent applications—some questions for patent offices, applicants and searchers-Reference-Cited by-同舟云学术

Electronic non-text material in patent applications—some questions for patent offices, applicants and searchers

Published:2005-06 Issue:2 Volume:27 Page:99-103
ISSN:0172-2190
Container-title:World Patent Information
language:en
Short-container-title:World Patent Information

Author:

Adams Stephen

Publisher

Elsevier BV

Subject

Library and Information Sciences,Computer Science Applications,Process Chemistry and Technology,Energy Engineering and Power Technology,Fuel Technology,Renewable Energy, Sustainability and the Environment,Bioengineering

Reference9 articles.

1. Tacit knowledge in patent applications: observations on the value of models to early US Patent Office practice and potential implications for the 21st century;Durack;World Patent Inf,2004

2. See, for example, references to the technique of content-based image retrieval (CBIR), such as and research at the École Polytechnique Fédérale de Lausanne (EPFL)

3. Geradts Z. “Content based image retrieval from forensic image databases”. Doctoral Thesis, University of Utrecht, supported by the Nederlands Forensisch Instituut. Delft: Ipskamp, 2002. ISBN 90-73053-03-X

4. Integrated probability function and its application to content-based image retrieval by relevance feedback;King;Pattern Recognit,2003

5. Eakins JP, Graham ME. Content-based Image Retrieval: A report to the JISC Technology Applications Programme. Newcastle, UK: Institute for Image Data Research, University of Northumbria at Newcastle, January 1999

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