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» Aggregation functions: Means
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IJAR
2006
103views more  IJAR 2006»
13 years 7 months ago
Computing mean and variance under Dempster-Shafer uncertainty: Towards faster algorithms
In many real-life situations, we only have partial information about the actual probability distribution. For example, under Dempster-Shafer uncertainty, we only know the masses m...
Vladik Kreinovich, Gang Xiang, Scott Ferson
MICCAI
2008
Springer
14 years 8 months ago
Impact of Rician Adapted Non-Local Means Filtering on HARDI
In this paper we study the impact of denoising the raw high angular resolution diffusion imaging (HARDI) data with the Non-Local Means filter adapted to Rician noise (NLMr). We fir...
Christian Barillot, Maxime Descoteaux, Nicolas Wie...
EUROPKI
2007
Springer
14 years 1 months ago
E-Passports as a Means Towards the First World-Wide Public Key Infrastructure
Millions of citizens around the world have already acquired their new electronic passport. The e-passport is equipped with contactless communication capability, as well as with a s...
Dimitrios Lekkas, Dimitris Gritzalis
IEEEARES
2010
IEEE
13 years 9 months ago
Improving Network Intrusion Detection by Means of Domain-Aware Genetic Programming
—One of the central areas in network intrusion detection is how to build effective systems that are able to distinguish normal from intrusive traffic. In this paper we explore t...
Jorge Blasco Alís, Agustín Orfila, A...
ICIP
2007
IEEE
13 years 7 months ago
ML Nonlinear Smoothing for Image Segmentation and its Relationship to the Mean Shift
This paper addresses the issues of nonlinear edge-preserving image smoothing and segmentation. A ML-based approach is proposed which uses an iterative algorithm to solve the probl...
Andy Backhouse, Irene Y. H. Gu, Tiesheng Wang