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» Identifying Objects Using Cluster and Concept Analysis
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WSC
2001
15 years 19 days ago
Quantifying simulation output variability using confidence intervals and statistical process control
Two types of variability can occur in model output: variability between replications and variability within each replication. The objective of the model combined with the type of ...
Amy Jo Naylor
DAS
2008
Springer
15 years 1 months ago
A Comparison of Clustering Methods for Word Image Indexing
In this paper we explore the effectiveness of three clustering methods used to perform word image indexing. The three methods are: the Self-Organazing Map (SOM), the Growing Hiera...
Simone Marinai, Emanuele Marino, Giovanni Soda
ESWA
2006
122views more  ESWA 2006»
14 years 11 months ago
Ontology construction for information classification
Following the advent of the Internet technology and the rapid growth of its applications, users have spent long periods of time browsing through the ocean of information found in ...
Sung-Shun Weng, Hsine-Jen Tsai, Shang-Chia Liu, Ch...
GEOINFORMATICA
2002
100views more  GEOINFORMATICA 2002»
14 years 11 months ago
Vagueness and Rough Location
This paper deals with the representation and the processing of information about spatial objects with indeterminate location like valleys or dunes (objects subject to vagueness). ...
Thomas Bittner, John G. Stell
ICPR
2004
IEEE
16 years 11 days ago
Recognition of Airborne Fungi Spores in Digital Microscopic Images
We propose and evaluate a method for the recognition of airborne fungi spores. We suggest a case-based object-recognition method to identify spores in a digital microscopic image. ...
Angela Bühring, Horst Perner, Petra Perner, S...