Name
Abstract | ||
|---|---|---|
•It utilizes label information and data structure to combine multiple organs for plant recognition.•Two graphs measure inter-class separability and intra-class compactness in a local way.•Geodesic distance is introduced to 1-NN classifier.•Experiments real leaf&flower dataset to test the performance of the proposed method. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.compag.2018.10.018 | Computers and Electronics in Agriculture |
Keywords | Field | DocType |
Canonical correlation analysis (CCA),Local discriminant CCA (LDCCA),Multi-modal plant species recognition,modified LDCCA (MLDCCA) | Computer vision,Data structure,Dimensionality reduction,Embedding,Pattern recognition,Discriminant,Canonical correlation,Correlation,Artificial intelligence,Engineering,Dimensional reduction,Classifier (linguistics) | Journal |
Volume | ISSN | Citations |
155 | 0168-1699 | 1 |
PageRank | References | Authors |
0.35 | 9 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shanwen Zhang | 1 | 317 | 34.71 |
| Chuanlei Zhang | 2 | 51 | 10.12 |
| Wenzhun Huang | 3 | 76 | 6.08 |