Name
Abstract | ||
|---|---|---|
The classification of raw data often involves the problem of selecting the appropriate set of features to represent the input data. Different types of features can be extracted from the input dataset, but only some of them are actually relevant for the classification process. Since relevant features are often unknown in real-world problems, many candidate features are usually introduced. This degr... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1093/comjnl/bxw077 | The Computer Journal |
Keywords | Field | DocType |
2D motifs,digital images classification,pattern extraction | Computer vision,Computer science,Digital image,Motif (music),Artificial intelligence | Journal |
Volume | Issue | ISSN |
60 | 7 | 0010-4620 |
Citations | PageRank | References |
1 | 0.37 | 29 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Angelo Furfaro | 1 | 233 | 33.52 |
| Maria Carmela Groccia | 2 | 2 | 1.05 |
| Simona E. Rombo | 3 | 192 | 22.21 |