Name
Abstract | ||
|---|---|---|
A preliminary series of experiments is reported in which a neural-network-based window filter was trained to perform complicated image processing tasks. It is shown that the analogy to training a human to perform a complex task is a useful one in developing a training strategy. In particular, four methods of improving learning were investigated. These are: pre-training on simpler but similar tasks, learning to perform useful sub-tasks, use of heuristic rules and structuring of training examples to make the required operation explicit |
Year | DOI | Venue |
|---|---|---|
1993 | 10.1109/ANNES.1993.323074 | Dunedin |
Keywords | Field | DocType |
image processing,learning (artificial intelligence),neural nets,heuristic rules,image processing,neural network,neural-network-based window filter,pre-training,sub-tasks | Noise reduction,Heuristic,Computer science,Image processing,Pixel,Artificial intelligence,Analogy,Artificial neural network,Structuring,Machine learning | Conference |
Citations | PageRank | References |
1 | 0.36 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ralph H. Pugmire | 1 | 1 | 0.70 |
| Robert M. Hodgson | 2 | 37 | 18.37 |
| Robert I. Chaplin | 3 | 1 | 1.04 |