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CVPR
2006
IEEE
15 years 6 days ago
A General Framework and New Alignment Criterion for Dense Optical Flow
The problem of dense optical flow computation is addressed from a variational viewpoint. A new geometric framework is introduced. It unifies previous art and yields new efficient ...
Rami Ben-Ari, Nir A. Sochen
ICML
2005
IEEE
14 years 11 months ago
A practical generalization of Fourier-based learning
This paper presents a search algorithm for finding functions that are highly correlated with an arbitrary set of data. The functions found by the search can be used to approximate...
Adam Drake, Dan Ventura
EUROCRYPT
2007
Springer
14 years 4 months ago
General Ad Hoc Encryption from Exponent Inversion IBE
Among the three broad classes of Identity-Based Encryption schemes built from pairings, the exponent inversion paradigm tends to be the most efficient, but also the least extensibl...
Xavier Boyen
ANSS
2006
IEEE
14 years 4 months ago
A New Approach for Computing Conditional Probabilities of General Stochastic Processes
In this paper Hidden Markov Model algorithms are considered as a method for computing conditional properties of continuous-time stochastic simulation models. The goal is to develo...
Fabian Wickborn, Claudia Isensee, Thomas Simon, Sa...
ESANN
2008
13 years 11 months ago
Generalized matrix learning vector quantizer for the analysis of spectral data
The analysis of spectral data constitutes new challenges for machine learning algorithms due to the functional nature of the data. Special attention is paid to the metric used in t...
Petra Schneider, Frank-Michael Schleif, Thomas Vil...