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ICCV
2011
IEEE
12 years 6 months ago
Means in spaces of tree-like shapes
The mean is often the most important statistic of a dataset as it provides a single point that summarizes the entire set. While the mean is readily defined and computed in Euclid...
Aasa Feragen, Søren Hauberg, Mads Nielsen, Franç...
ISBI
2009
IEEE
14 years 1 months ago
An Adaptive Nonparametric Approach to Restoration and Interpolation for Medical Imaging
We present the application of a novel nonparametric approach to restoration and interpolation of medical images. The proposed approach is based on the notion of spatially adaptive...
Hiroyuki Takeda, Peyman Milanfar
GEOINFORMATICA
1998
96views more  GEOINFORMATICA 1998»
13 years 6 months ago
Experiments with Learning Techniques for Spatial Model Enrichment and Line Generalization
The nature of map generalization may be non-uniform along the length of an individual line, requiring the application of methods that adapt to the local geometry and the geographi...
Corinne Plazanet, Nara Martini Bigolin, Anne Ruas
JCM
2006
144views more  JCM 2006»
13 years 6 months ago
Using Micro-Genetic Algorithms to Improve Localization in Wireless Sensor Networks
Wireless sensor networks are widely adopted in many location-sensitive applications including disaster management, environmental monitoring, military applications where the precise...
Vincent Tam, King-Yip Cheng, King-Shan Lui
AFPAC
2000
Springer
341views Mathematics» more  AFPAC 2000»
13 years 11 months ago
An Associative Perception-Action Structure Using a Localized Space Variant Information Representation
Abstract. Most of the processing in vision today uses spatially invariant operations. This gives efficient and compact computing structures, with the conventional convenient separa...
Gösta H. Granlund