MIForests: Multiple-Instance Learning with Randomized Trees-Reference-Cited by-同舟云学术

MIForests: Multiple-Instance Learning with Randomized Trees

Published:2010 Issue: Volume: Page:29-42
ISSN:0302-9743
Container-title:Computer Vision – ECCV 2010
language:
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Author:

Leistner Christian,Saffari Amir,Bischof Horst

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-15567-3_3

Reference42 articles.

1. Keeler, J., Rumelhart, D., Leow, W.: Integrated segmentation and recognition of hand-printed numerals. In: NIPS (1990)

2. Dietterich, T., Lathrop, R., Lozano-Perez, T.: Solving the multiple-instance problem with axis-paralle rectangles. In: Artifical Intelligence (1997)

3. Andrews, S., Tsochandaridis, I., Hofman, T.: Support vector machines for multiple-instance learning. Adv. Neural. Inf. Process. Syst. 15, 561–568 (2003)

4. Ruffo, G.: Learning single and multiple instance decision trees for computer security applications. PhD thesis (2000)

5. Zhang, M.L., Goldman, S.: Em-dd: An improved multi-instance learning technique. In: NIPS (2002)

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