Name
Title | ||
|---|---|---|
A unified multi-label classification framework with supervised low-dimensional embedding |
Abstract | ||
|---|---|---|
It is an important issue for multi-label classification to discover and utilize data structures or label correlations during the learning process, which could greatly improve the learning performance. In this paper, a unified framework is proposed for multi-label classification by incorporating the supervised low-dimensional embedding into the predictive model. The supervised embedding exploits latent structures and correlations from samples and labels, finds informative shared characteristics in a low-dimensional subspace and obtains a high quality dimensionality reduction. In the framework, a low-dimensional feature mapping is constructed through a linear transformation guided by the label information; meanwhile, the weights of the multi-label classifier have already been set up. The framework leads to a trace optimization problem and can be solved by a generalized eigenvalue problem. The dual form of the framework is also proposed to deal with high-dimensional cases. Experiments on ten datasets show that the proposed unified framework achieves better or comparable performance in terms of multi-label classification measures and ranking measures and needs much less training time in most cases. Furthermore, the framework is robust to the size of the low-dimensional subspace. (C) 2015 Elsevier B.V. All rights reserved. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1016/j.neucom.2015.07.087 | NEUROCOMPUTING |
Keywords | Field | DocType |
Multi-label classification,Data structure,Label correlation,Supervised low-dimensional embedding,Dimensionality reduction,Generalized eigenvalue problem | Data structure,Embedding,Dimensionality reduction,Pattern recognition,Ranking,Subspace topology,Multi-label classification,Artificial intelligence,Classifier (linguistics),Optimization problem,Mathematics,Machine learning | Journal |
Volume | ISSN | Citations |
171 | 0925-2312 | 1 |
PageRank | References | Authors |
0.35 | 24 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zijie Chen | 1 | 4 | 0.76 |
| Zhifeng Hao | 2 | 653 | 78.36 |