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ESANN
2007
15 years 8 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
ECCV
2002
Springer
16 years 8 months ago
Visual Data Fusion for Objects Localization by Active Vision
Visual sensors provide exclusively uncertain and partial knowledge of a scene. In this article, we present a suitable scene knowledge representation that makes integration and fusi...
François Chaumette, Grégory Flandin
IMC
2003
ACM
16 years 1 days ago
Bitmap algorithms for counting active flows on high speed links
—This paper presents a family of bitmap algorithms that address the problem of counting the number of distinct header patterns (flows) seen on a high-speed link. Such counting c...
Cristian Estan, George Varghese, Mike Fisk
BMCBI
2005
124views more  BMCBI 2005»
15 years 6 months ago
Tools enabling the elucidation of molecular pathways active in human disease: Application to Hepatitis C virus infection
Background: The extraction of biological knowledge from genome-scale data sets requires its analysis in the context of additional biological information. The importance of integra...
David J. Reiss, Iliana Avila-Campillo, Vesteinn Th...
AROBOTS
1998
130views more  AROBOTS 1998»
15 years 6 months ago
Rough Terrain Autonomous Mobility-Part 2: An Active Vision, Predictive Control Approach
Off-road autonomous navigation is one of the most difficult automation challenges from the point of view of constraints on mobility, speed of motion, lack of environmental structur...
Alonzo Kelly, Anthony Stentz