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MIA
2010
170views more  MIA 2010»
15 years 1 months ago
Linear intensity-based image registration by Markov random fields and discrete optimization
We propose a framework for intensity-based registration of images by linear transformations, based on a discrete Markov Random Field (MRF) formulation. Here, the challenge arises ...
Darko Zikic, Ben Glocker, Oliver Kutter, Martin Gr...
PKC
2012
Springer
235views Cryptology» more  PKC 2012»
13 years 9 months ago
Improved Security for Linearly Homomorphic Signatures: A Generic Framework
ded abstract of this work will appear in Public Key Cryptography — PKC 2012. This is the full version. We propose a general framework that converts (ordinary) signature schemes ...
David Mandell Freeman
GECCO
2009
Springer
112views Optimization» more  GECCO 2009»
16 years 1 months ago
Soft memory for stock market analysis using linear and developmental genetic programming
Recently, a form of memory usage was introduced for genetic programming (GP) called “soft memory.” Rather than have a new value completely overwrite the old value in a registe...
Garnett Carl Wilson, Wolfgang Banzhaf
ECP
1997
Springer
128views Robotics» more  ECP 1997»
15 years 10 months ago
SINERGY: A Linear Planner Based on Genetic Programming
In this paper we describe SINERGY, which is a highly parallelizable, linear planning system that is based on the genetic programming paradigm. Rather than reasoning about the world...
Ion Muslea
DAGM
2009
Springer
15 years 10 months ago
An Efficient Linear Method for the Estimation of Ego-Motion from Optical Flow
Abstract. Approaches to visual navigation, e.g. used in robotics, require computationally efficient, numerically stable, and robust methods for the estimation of ego-motion. One of...
Florian Raudies, Heiko Neumann