Name
Title | ||
|---|---|---|
Manifold Preserving: An Intrinsic Approach for Semisupervised Distance Metric Learning. |
Abstract | ||
|---|---|---|
In this paper, we address the semisupervised distance metric learning problem and its applications in classification and image retrieval. First, we formulate a semisupervised distance metric learning model by considering the metric information of inner classes and interclasses. In this model, an adaptive parameter is designed to balance the inner metrics and intermetrics by using data structure. S... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TNNLS.2017.2691005 | IEEE Transactions on Neural Networks and Learning Systems |
Keywords | Field | DocType |
Measurement,Manifolds,Adaptation models,Learning systems,Data models,Algorithm design and analysis,Matrix converters | Data modeling,Semi-supervised learning,Method of steepest descent,Computer science,Matrix (mathematics),Metric (mathematics),Manifold alignment,Artificial intelligence,Manifold,Data structure,Topology,Pattern recognition,Machine learning | Journal |
Volume | Issue | ISSN |
29 | 7 | 2162-237X |
Citations | PageRank | References |
10 | 0.50 | 29 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shihui Ying | 1 | 233 | 23.32 |
| Zhijie Wen | 2 | 39 | 7.14 |
| Jun Shi | 3 | 233 | 30.77 |
| Yaxin Peng | 4 | 73 | 16.82 |
| Ji-Gen Peng | 5 | 418 | 50.45 |
| Hong Qiao | 6 | 1147 | 110.95 |