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ECML
2001
Springer
15 years 10 months ago
Learning of Variability for Invariant Statistical Pattern Recognition
In many applications, modelling techniques are necessary which take into account the inherent variability of given data. In this paper, we present an approach to model class speciï...
Daniel Keysers, Wolfgang Macherey, Jörg Dahme...
SSIAI
2000
IEEE
15 years 10 months ago
A New Bayesian Relaxation Framework for the Estimation and Segmentation of Multiple Motions
In this paper we propose a new probabilistic relaxation framework to perform robust multiple motion estimation and segmentation from a sequence of images. Our approach uses displa...
Alexander Strehl, Jake K. Aggarwal
166
Voted
EDCC
1999
Springer
15 years 10 months ago
Dependability Modelling and Sensitivity Analysis of Scheduled Maintenance Systems
Abstract. In this paper we present a new modelling approach for dependability evaluation and sensitivity analysis of Scheduled Maintenance Systems, based on a Deterministic and Sto...
Andrea Bondavalli, Ivan Mura, Kishor S. Trivedi
ISPD
1998
ACM
89views Hardware» more  ISPD 1998»
15 years 10 months ago
Filling and slotting: analysis and algorithms
In very deep-submicron VLSI, certain manufacturing steps – notably optical exposure, resist development and etch, chemical vapor deposition and chemical-mechanical polishing (CM...
Andrew B. Kahng, Gabriel Robins, Anish Singh, Huij...
161
Voted
CNSR
2004
IEEE
131views Communications» more  CNSR 2004»
15 years 10 months ago
Fast Flow Classification over Internet
In order to control and manage highly aggregated Internet traffic flows efficiently, we need to be able to categorize flows into distinct classes and to be knowledgeable about the...
A. Oveissian, Kavé Salamatian, Augustin Sou...