Near Sets. Toward Approximation Space-Based Object Recognition-Reference-Cited by-同舟云学术

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Near Sets. Toward Approximation Space-Based Object Recognition

Published: Issue: Volume: Page:22-33
ISSN:
Container-title:Rough Sets and Knowledge Technology
language:
Short-container-title:

Author:

Peters James F.

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-540-72458-2_3.pdf

Reference49 articles.

1. Audi, R. (ed.): The Cambridge Dictionary of Philosophy, 2nd edn. Cambridge University Press, Cambridge (1999)

2. Lehner, P.N.: Handbook of Ethological Methods, 2nd edn. Cambridge University Press, Cambridge (1979)

3. Bertsekas, D.P., Tsitsiklis, J.N.: Neuro-Dynamic Programming. Athena Scientific, Belmont (1996)

4. Bishop, C.M.: Neural Networks and Pattern Recognition. Oxford University Press, Oxford (1995)

5. Lecture Notes in Computer Science;M. Borkowski,2006

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1. The Global k-Means Clustering Analysis Based on Multi-Granulations Nearness Neighborhood;Mathematics in Computer Science;2013-02-19

2. A Generalization of Near Set Model;Rough Sets and Knowledge Technology;2011

3. Machine Learning Techniques for Prostate Ultrasound Image Diagnosis;Advances in Machine Learning I;2010

4. Fuzzy Sets, Near Sets, and Rough Sets for Your Computational Intelligence Toolbox;Foundations of Computational Intelligence Volume 2;2009

5. Feature Selection: Near Set Approach;Lecture Notes in Computer Science

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