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» Neural Network Performances in Astronomical Image Processing
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ESANN
2003
13 years 6 months ago
Neural Network Performances in Astronomical Image Processing
In this paper we use neural networks to verify the similarity of real astronomical images to predefined reference profiles. We use an innovative technique to encode images that a...
Rossella Cancelliere, Mario Gai
CIKM
2010
Springer
13 years 3 months ago
Towards a provenance framework for sub-image processing for astronomical data
While there has been advances in observational equipment that generate huge high quality images, the processing of these images remains a major bottleneck. We show that provenance...
Johnson Mwebaze, John McFarland, Danny Booxhorn, E...
FLAIRS
2006
13 years 6 months ago
Automated Classification of Astronomical Objects in Multispectral Wide-Field Images
In this paper we present an automated method for classifying astronomical objects in multispectral wide-field images. The method is divided into three main tasks. The first one co...
Jorge de la Calleja, Olac Fuentes
SPAA
2006
ACM
13 years 10 months ago
Astronomical real-time streaming signal processing on a Blue Gene/L supercomputer
LOFAR is the first of a new generation of radio telescopes, that combines the signals from many thousands of simple, fixed antennas, rather than from expensive dishes. Its revol...
John W. Romein, P. Chris Broekema, Ellen van Meije...
ISNN
2005
Springer
13 years 10 months ago
A SIMD Neural Network Processor for Image Processing
Abstract. Artificial Neural Networks (ANNs) and image processing requires massively parallel computation of simple operator accompanied by heavy memory access. Thus, this type of ...
Dongsun Kim, Hyunsik Kim, Hongsik Kim, Gunhee Han,...