Learning to Adapt: A Method for Automatic Tuning of Algorithm Parameters-Reference-Cited by-同舟云学术

Learning to Adapt: A Method for Automatic Tuning of Algorithm Parameters

Published:2010 Issue: Volume: Page:414-425
ISSN:0302-9743
Container-title:Advanced Concepts for Intelligent Vision Systems
language:
Short-container-title:

Author:

Sherrah Jamie

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-17688-3_39

Reference15 articles.

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3. Crowley, J.L., Hall, D., Emonet, R.: An automatic approach for parameter selection in self-adaptive tracking. In: VISAPP, Portugal. Springer, Heidelberg (February 2006)

4. Ferryman, J., Shahrokni, A.: An overview of the PETS 2009 challenge. In: PETS Workshop, Miami, USA, pp. 25–30. IEEE Computer Society, Los Alamitos (June 2009)

5. Scotti, G., Marcenaro, L., Regazzoni, C.S.: SOM based algorithm for video surveillance system parameter optimal selection. In: AVSS, pp. 370–375 (2003)

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