Name
Abstract | ||
|---|---|---|
In this paper, an application of feature extraction from music data is first introduced to motivate our research of finding approximate repeating patterns from sequence data. An approximate repeating pattern is defined as a sequence of symbols which appears more than once under certain approximation types in a data sequence. By using the 'cut' and 'pattern_join' operators, we develop a level-wise approach to solve the problem of finding approximate repeating patterns. |
Year | Venue | Keywords |
|---|---|---|
2004 | ISMIR 2013 | feature extraction |
Field | DocType | Citations |
Pattern recognition,Computer science,Feature extraction,Speech recognition,Data sequences,Artificial intelligence,Operator (computer programming) | Conference | 2 |
PageRank | References | Authors |
0.38 | 5 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jia-Lien Hsu | 1 | 288 | 148.15 |
| Arbee L. P. Chen | 2 | 1769 | 886.26 |
| Hung-chen Chen | 3 | 126 | 8.59 |