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CEC
2010
IEEE
13 years 8 months ago
Automatic construction of image transformation algorithms using feature based genetic image network
Image processing and recognition technologies are becoming increasingly important. Automatic construction methods for image transformation algorithms proposed to date approximate a...
Yuta Nakano, Shinichi Shirakawa, Noriko Yata, Tomo...
GECCO
2004
Springer
117views Optimization» more  GECCO 2004»
14 years 26 days ago
Evolving Wavelets Using a Coevolutionary Genetic Algorithm and Lifting
Finding a good wavelet for a particular application and type of input data is a difficult problem. Traditional methods of wavelet deus on abstract properties of the wavelet that ca...
Uli Grasemann, Risto Miikkulainen
CISST
2004
186views Hardware» more  CISST 2004»
13 years 9 months ago
Colour and Shape Based Image Retrieval for CVPIC Coded Images
Abstract Compressed domain image retrieval is going to play an increasingly important role in the future. It allows the calculation of image features and hence content-based image ...
Gerald Schaefer, Simon Lieutaud
IWMMDBMS
1996
64views more  IWMMDBMS 1996»
13 years 8 months ago
Spatial Indexing into Compressed Raster Images: How to Answer Range Queries Without Decompression
The maintenance of large raster images under spatial operations is still a major performance bottleneck. For reasons of storage space, images in a collection, such as satellite pi...
Renato Pajarola, Peter Widmayer
ICIP
2009
IEEE
14 years 8 months ago
On The Empirical Rate-distortion Performance Of Compressive Sensing
Compressive Sensing (CS) is a new paradigm in signal acquisition and compression. In compressive sensing, a compressible signal is acquired using much less measurements than the o...