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EMMCVPR
2011
Springer
12 years 8 months ago
Discrete Optimization of the Multiphase Piecewise Constant Mumford-Shah Functional
Abstract. The Mumford-Shah model has been one of the most powerful models in image segmentation and denoising. The optimization of the multiphase Mumford-Shah energy functional has...
Noha Youssry El-Zehiry, Leo Grady
ALT
2001
Springer
14 years 5 months ago
Learning Recursive Functions Refutably
Abstract. Learning of recursive functions refutably means that for every recursive function, the learning machine has either to learn this function or to refute it, i.e., to signal...
Sanjay Jain, Efim B. Kinber, Rolf Wiehagen, Thomas...
POPL
2012
ACM
12 years 4 months ago
A type theory for probability density functions
There has been great interest in creating probabilistic programming languages to simplify the coding of statistical tasks; however, there still does not exist a formal language th...
Sooraj Bhat, Ashish Agarwal, Richard W. Vuduc, Ale...
CORR
2010
Springer
136views Education» more  CORR 2010»
13 years 5 months ago
An Inverse Power Method for Nonlinear Eigenproblems with Applications in 1-Spectral Clustering and Sparse PCA
Many problems in machine learning and statistics can be formulated as (generalized) eigenproblems. In terms of the associated optimization problem, computing linear eigenvectors a...
Matthias Hein, Thomas Bühler
CHES
2008
Springer
146views Cryptology» more  CHES 2008»
13 years 10 months ago
Power and Fault Analysis Resistance in Hardware through Dynamic Reconfiguration
Dynamically reconfigurable systems are known to have many advantages such as area and power reduction. The drawbacks of these systems are the reconfiguration delay and the overhead...
Nele Mentens, Benedikt Gierlichs, Ingrid Verbauwhe...