Name
Title | ||
|---|---|---|
Incoherent Dictionary Pair Learning: Application to a Novel Open-Source Database of Chinese Numbers. |
Abstract | ||
|---|---|---|
We enhance the efficacy of an existing dictionary pair learning algorithm by adding a dictionary incoherence penalty term. After presenting an alternating minimization solution, we apply the proposed incoherent dictionary pair learning (InDPL) method in classification of a novel open-source database of Chinese numbers. Benchmarking results confirm that the InDPL algorithm offers enhanced classific... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/LSP.2018.2798406 | IEEE Signal Processing Letters |
Keywords | Field | DocType |
Dictionaries,Signal processing algorithms,Machine learning,Licenses,Databases,Algorithm design and analysis,Silicon | Algorithm design,Pattern recognition,Chinese numerals,Dictionary pair learning,Minification,Artificial intelligence,Benchmarking,Mathematics,Database,Signal processing algorithms | Journal |
Volume | Issue | ISSN |
25 | 4 | 1070-9908 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Vahid Abolghasemi | 1 | 274 | 22.58 |
| Mingyang Chen | 2 | 0 | 0.68 |
| Ali Alameer | 3 | 3 | 1.11 |
| Saideh Ferdowsi | 4 | 147 | 10.85 |
| Jonathon A. Chambers | 5 | 334 | 28.03 |
| Kianoush Nazarpour | 6 | 75 | 19.08 |