Yan Karklin

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2011

5 Yan Karklin, Eero P. Simoncelli: Efficient coding of natural images with a population of noisy Linear-Nonlinear neurons. NIPS 2011: 999-1007

2005

4 Yan Karklin, Michael S. Lewicki: Is Early Vision Optimized for Extracting Higher-order Dependencies? NIPS 2005

3 Yan Karklin, Richard F. Meraz, Stephen R. Holbrook: Classification of Non-Coding RNA Using Graph Representations of Secondary Structure. Pacific Symposium on Biocomputing 2005: 5-16

2 Yan Karklin, Michael S. Lewicki: A Hierarchical Bayesian Model for Learning Nonlinear Statistical Regularities in Nonstationary Natural Signals. Neural Computation 17(2): 397-423 (2005)

2002

1 Yan Karklin, Michael S. Lewicki: A Model for Learning Variance Components of Natural Images. NIPS 2002: 1367-1374

	2011
5		Yan Karklin, Eero P. Simoncelli: Efficient coding of natural images with a population of noisy Linear-Nonlinear neurons. NIPS 2011: 999-1007
	2005
4		Yan Karklin, Michael S. Lewicki: Is Early Vision Optimized for Extracting Higher-order Dependencies? NIPS 2005
3		Yan Karklin, Richard F. Meraz, Stephen R. Holbrook: Classification of Non-Coding RNA Using Graph Representations of Secondary Structure. Pacific Symposium on Biocomputing 2005: 5-16
2		Yan Karklin, Michael S. Lewicki: A Hierarchical Bayesian Model for Learning Nonlinear Statistical Regularities in Nonstationary Natural Signals. Neural Computation 17(2): 397-423 (2005)
	2002
1		Yan Karklin, Michael S. Lewicki: A Model for Learning Variance Components of Natural Images. NIPS 2002: 1367-1374

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