| Jiang, J. (1996) A Neural Network Design for Image Compression and Indexing. International Conference on Artificial Intelligent Expert Systems and Neural Networks, Hawaii, USA, pp 296-299. |
....superiority over classical methods when dealing with noisy or incomplete data. One such application is for image compression. Neural networks seem to be well suited to this particular function, as they have the ability to preprocess input patterns to produce simpler patterns with fewer components [1]. This compressed information (stored in a hidden layer) preserves the full information obtained from the external environment. Not only can ANN based techniques provide sufficient compression rates of the data in question, but security is easily maintained. This occurs because the compressed data ....
Jiang, J. (1996) A Neural Network Design for Image Compression and Indexing. International Conference on Artificial Intelligent Expert Systems and Neural Networks, Hawaii, USA, pp 296-299.
....over traditional methods when dealing with noisy or incomplete data. One such application is for image compression. Neural networks seem to be well suited to this particular function, as they have the ability to preprocess input patterns to produce simpler patterns with fewer components [1]. This compressed information (stored in a hidden layer) preserves the full information obtained from the external environment. Not only can ANN based techniques provide sufficient compression rates of the data in question, but security is easily maintained. This occurs because the compressed data ....
Jiang, J., (1996), A Neural Network Design for Image Compression and Indexing. International Conference on Artificial Intelligent Expert Systems and Neural Networks, Hawaii, USA, pp 296-299.
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