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ESANN
2007
15 years 4 months ago
How to process uncertainty in machine learning?
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
Barbara Hammer, Thomas Villmann
JUCS
2006
89views more  JUCS 2006»
15 years 2 months ago
Process Equivalences as Global Bisimulations
: Bisimulation can be defined in a simple way using coinductive methods, and has rather pleasant properties. Ready similarity was proposed by Meyer et al. as a way to weakening the...
David de Frutos-Escrig, Carlos Gregorio-Rodr&iacut...
CN
2004
95views more  CN 2004»
15 years 2 months ago
Distinguishing between single and multi-source attacks using signal processing
Launching a denial of service (DoS) attack is trivial, but detection and response is a painfully slow and often a manual process. Automatic classification of attacks as single- or...
Alefiya Hussain, John S. Heidemann, Christos Papad...
TMI
1998
134views more  TMI 1998»
15 years 2 months ago
Speckle Reduction and Contrast Enhancement of Echocardiograms via Multiscale Nonlinear Processing
Abstract— This paper presents an algorithm for speckle reduction and contrast enhancement of echocardiographic images. Within a framework of multiscale wavelet analysis, we apply...
Xuli Zong, Andrew Laine, Edward A. Geiser
FLAIRS
2009
15 years 21 days ago
Are Ontologies Involved in Natural Language Processing?
For certain disable persons unable to communicate, we present a palliative aid which consist of a virtual pictographic keyboard associated to a text processing from a pictographic...
Maryvonne Abraham