Abstract
Recently, subspace learning methods for Dimensionality Reduction (DR), like Subclass Discriminant Analysis (SDA) and Clustering-based Discriminant
Analysis (CDA), which use subclass information for the discrimination between the data classes, have attracted much attention. In parallel, important work
has been accomplished on Graph Embedding (GE), which is a general framework unifying several subspace learning techniques. In this paper, GE has been
extended in order to integrate subclass discriminant information resulting to the novel Subclass Graph Embedding (SGE) framework. The kernelization of
SGE is also presented. It is shown that SGE comprises a generalization of the typical GE including subclass DR methods. In this vein, the theoretical link of SDA and CDA methods with SGE is established. The efficacy and power of the SGE has been substantiated by comparing subclass DR methods versus a diversity of unimodal methods all pertaining to the SGE framework via a series of experiments on various real-world data.
Analysis (CDA), which use subclass information for the discrimination between the data classes, have attracted much attention. In parallel, important work
has been accomplished on Graph Embedding (GE), which is a general framework unifying several subspace learning techniques. In this paper, GE has been
extended in order to integrate subclass discriminant information resulting to the novel Subclass Graph Embedding (SGE) framework. The kernelization of
SGE is also presented. It is shown that SGE comprises a generalization of the typical GE including subclass DR methods. In this vein, the theoretical link of SDA and CDA methods with SGE is established. The efficacy and power of the SGE has been substantiated by comparing subclass DR methods versus a diversity of unimodal methods all pertaining to the SGE framework via a series of experiments on various real-world data.
| Original language | English |
|---|---|
| Title of host publication | 2015 IEEE Symposium Series on Computational Intelligence (SSCI 2015) |
| Subtitle of host publication | Proceedings of a meeting held 7-10 December 2015, Cape Town, South Africa |
| Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
| Pages | 1452-1459 |
| Number of pages | 8 |
| ISBN (Electronic) | 9781479975600 |
| ISBN (Print) | 9781479975617 |
| DOIs | |
| Publication status | Published - Apr 2016 |
| Event | 2015 IEEE Symposium Series on Computational Intelligence - Cape Town, South Africa Duration: 7 Dec 2015 → 10 Dec 2015 |
Conference
| Conference | 2015 IEEE Symposium Series on Computational Intelligence |
|---|---|
| Abbreviated title | SSCI 2015 |
| Country/Territory | South Africa |
| City | Cape Town |
| Period | 7/12/15 → 10/12/15 |