An Efficient PAC Algorithm for Reconstructing a Mixture of Lines-Reference-Cited by-同舟云学术

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An Efficient PAC Algorithm for Reconstructing a Mixture of Lines

Published:2002 Issue: Volume: Page:351-364
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
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Author:

Dasgupta Sanjoy,Pavlov Elan,Singer Yoram

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/3-540-36169-3_28

Reference9 articles.

1. S. Arora and R. Kannan, A polynomial time algorithm to learn a mixture of general gaussians, ACM Symposium on Theory of Computing (STOC), 2001.

2. S. Arora and S. Khot, Fitting algebraic curves to noisy data, ACM Symposium on Theory of Computing (STOC), 2002.

3. S. Dasgupta, Learning mixtures of Gaussians, IEEE Symposium on Foundations of Computer Science (FOCS), 1999.

4. M. Fischler and R. Bolles, Random Sample Consensus: A Paradigm for Model fitting, Communications of the ACM (CACM), 24(5), pp. 381–395, 1981.

5. D. Forsyth and J. Ponce, Computer Vision-a modern approach, Manuscript, 2002.

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Fitting algebraic curves to noisy data;Journal of Computer and System Sciences;2003-09

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