Name
Title | ||
|---|---|---|
Convolutional long short term memory deep neural networks for image sequence prediction. |
Abstract | ||
|---|---|---|
•A three step combination of different Neural Networks for discrimination.•The algorithm works by decomposing and remembering previously presented images.•The training of each of the networks is separated according to each of its properties.•The algorithm perform better at discrimination than individual methods.•The algorithm can remember longer sequences than individual methods. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.eswa.2018.12.055 | Expert Systems with Applications |
Keywords | Field | DocType |
Sequence prediction,Image classification,Long short-term neural networks,Convolutional neural networks,Deep neural networks | Computer science,Convolutional neural network,Image processing,Complex data type,Automation,Artificial intelligence,Cluster analysis,Artificial neural network,Image sequence,Robotics,Machine learning | Journal |
Volume | ISSN | Citations |
122 | 0957-4174 | 1 |
PageRank | References | Authors |
0.35 | 59 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| David Balderas | 1 | 1 | 0.69 |
| Pedro Ponce | 2 | 24 | 18.14 |
| Arturo Molina | 3 | 642 | 69.86 |