Name
Title | ||
|---|---|---|
Multi-instance multi-label learning of natural scene images: via sparse coding and multi-layer neural network. |
Abstract | ||
|---|---|---|
The classification of natural scene images is multi-instance multi-label (MIML) for many labels that exist in a natural scene image. The traditional method of solving MIML is to degenerate it into single-instance single-label learning (SISL). However, the precision of the method could decrease due to information loss during the degeneration process. How to reasonably solve the MIML problem is key ... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1049/iet-cvi.2016.0338 | IET Computer Vision |
Keywords | Field | DocType |
image coding,image representation,learning (artificial intelligence),multilayer perceptrons | Computer vision,Information loss,Dictionary learning,Multi layer,Pattern recognition,Multi instance multi label,Neural coding,Sparse approximation,Artificial intelligence,Artificial neural network,Mathematics | Journal |
Volume | Issue | ISSN |
12 | 3 | 1751-9632 |
Citations | PageRank | References |
1 | 0.35 | 34 |
Authors | ||
3 | ||