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ESANN
2008
15 years 5 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...
BMVC
2000
15 years 5 months ago
Fast Computation of a Boundary Preserving Estimate of Optical Flow
In this study we seek a fast method for robust, boundary preserving estimation of optical flow. Several studies have addressed this topic and proposed methods that account for vel...
Rosario El-Feghali, Amar Mitiche
130
Voted
RAS
2010
106views more  RAS 2010»
15 years 2 months ago
A developmental algorithm for ocular-motor coordination
This paper presents a model of ocular-motor development, inspired by ideas and data from developmental psychology. The learning problem concerns the growth of the transform betwee...
F. Chao, M. H. Lee, J. J. Lee
BMCBI
2007
126views more  BMCBI 2007»
15 years 4 months ago
Using gene expression data and network topology to detect substantial pathways, clusters and switches during oxygen deprivation
Background: Biochemical investigations over the last decades have elucidated an increasingly complete image of the cellular metabolism. To derive a systems view for the regulation...
Gunnar Schramm, Marc Zapatka, Roland Eils, Rainer ...
ECCV
2008
Springer
16 years 6 months ago
Compressive Sensing for Background Subtraction
Abstract. Compressive sensing (CS) is an emerging field that provides a framework for image recovery using sub-Nyquist sampling rates. The CS theory shows that a signal can be reco...
Volkan Cevher, Aswin C. Sankaranarayanan, Marco F....