Searching for authors named "Michael Werman" – sorted by Relevance.
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Fast Convolution
- Fast Convolution Michael Werman School of Computer Science and Engineering The Hebrew University
- Cited by 1 (0 self) – Add To MetaCart
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A Novel Bayesian Method for Fitting Parametric and Non-Parametric Models to Noisy Data
- ANovel Bayesian Method for Fitting Parametric and Non-Parametric Models to Noisy Data Michael
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Bayesian Interpolation
- Bayesian Interpolation Daniel Keren Michael Werman Dept. of Mathematics and Computer Science
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A Bayesian Method for Fitting Parametric and Nonparametric Models to Noisy Data
- ___________________________________________________________________________________________________ A Bayesian Method for Fitting Parametric and Nonparametric Models to Noisy Data Michael Werman
- Cited by 10 (0 self) – Add To MetaCart
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A Bayesian Framework for Regularization
- A Bayesian Framework for Regularization * July 6, 1994 Daniel Keren and Michael Werman Institute
- Cited by 5 (3 self) – Add To MetaCart
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Similarity and Affine Invariant Distances between 2D Point Sets
- and Affine Invariant Distances Between 2D Point Sets Michael Werman and Daphna WeinshM1 Abstract We develop
- Cited by 26 (1 self) – Add To MetaCart
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A Full Bayesian Approach to Curve and Surface Reconstruction
- Department of Computer Science, The University of Haifa, Haifa 31905, Israel dkeren@(email omitted); MICHAEL
- Cited by 3 (1 self) – Add To MetaCart
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Finding the Repeated Median Regression Line
- Finding the Repeated Median Regression Line Andrew Stein Michael Werman Department of Computer
- Cited by 6 (1 self) – Add To MetaCart
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Fundamental Tensor: On the Geometry of Three Perspective Views
- Fundamental Tensor: On the Geometry of Three Perspective Views Amnon Shashua and Michael Werman
- Cited by 4 (1 self) – Add To MetaCart
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Representing Local Motion as a Probability Distribution Matrix and Object Tracking
- Michael Werman Institute of Computer Science Institute of Computer Science The Hebrew University
- Cited by 10 (5 self) – Add To MetaCart

