Name
Title | ||
|---|---|---|
Topic driven multimodal similarity learning with multi-view voted convolutional features. |
Abstract | ||
|---|---|---|
•A novel similarity learning model with layered architecture.•The representation layer preserves a multi-view voted local neighbour structure.•The multimodal layer computes distributional similarity over sparse relation types.•The hidden relation neurons are initialized by cluster centres to encode topics.•Comparison with seven competing methods shows effectiveness of the proposed model. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.patcog.2017.02.035 | Pattern Recognition |
Keywords | Field | DocType |
Convolutional auto-encoder,Representation learning,Multi-view learning,Multimodal similarity learning | Similarity learning,Interpretability,Pattern recognition,Ranking,Computer science,Metric (mathematics),Image retrieval,Artificial intelligence,Initialization,Feature learning,Machine learning,Performance improvement | Journal |
Volume | Issue | ISSN |
75 | C | 0031-3203 |
Citations | PageRank | References |
7 | 0.42 | 44 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xinjian Gao | 1 | 16 | 1.18 |
| Tingting Mu | 2 | 19 | 4.98 |
| J. Y. Goulermas | 3 | 518 | 43.59 |
| Meng Wang | 4 | 3094 | 167.38 |