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» On Linear Cryptanalysis with Many Linear Approximations
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87
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ICMLA
2007
15 years 1 months ago
Scalable optimal linear representation for face and object recognition
Optimal Component Analysis (OCA) is a linear method for feature extraction and dimension reduction. It has been widely used in many applications such as face and object recognitio...
Yiming Wu, Xiuwen Liu, Washington Mio
123
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SIAMIS
2011
14 years 6 months ago
Large Scale Bayesian Inference and Experimental Design for Sparse Linear Models
Abstract. Many problems of low-level computer vision and image processing, such as denoising, deconvolution, tomographic reconstruction or superresolution, can be addressed by maxi...
Matthias W. Seeger, Hannes Nickisch
NECO
2007
129views more  NECO 2007»
14 years 11 months ago
Variational Bayes Solution of Linear Neural Networks and Its Generalization Performance
It is well-known that, in unidentifiable models, the Bayes estimation provides much better generalization performance than the maximum likelihood (ML) estimation. However, its ac...
Shinichi Nakajima, Sumio Watanabe
ICPR
2008
IEEE
16 years 26 days ago
Vector field resampling using local streamline approximation
In this paper, we propose an algorithm to resample coarse vector fields in order to obtain vector fields of a higher density. Unlike the typical linear interpolation scheme, our a...
Mani Thomas, Chandra Kambhamettu, Cathleen A. Geig...
101
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CPM
2000
Springer
105views Combinatorics» more  CPM 2000»
15 years 4 months ago
Structural Properties and Tractability Results for Linear Synteny
The syntenic dista nce between two species is the minimum number of fusions, fissions, and translocations required to transform one genome into the other. The linear syntenic dis...
David Liben-Nowell, Jon M. Kleinberg