4 papers
A Multi-criteria Approach for Fast and Outlier-aware Representative Selection from Manifolds
Mahlagha Sedghi, George Atia, Michael Georgiopoulos
The problem of representative selection amounts to sampling few informative exemplars from large datasets. This paper presents MOSAIC, a novel representative selection approach fro…
Learning Hash Function through Codewords
Yinjie Huang, Michael Georgiopoulos, Georgios C. Anagnostopoulos
In this paper, we propose a novel hash learning approach that has the following main distinguishing features, when compared to past frameworks. First, the codewords are utilized in…
Reduced-Rank Local Distance Metric Learning for k-NN Classification
YInjie Huang, Cong Li, Michael Georgiopoulos +1
We propose a new method for local distance metric learning based on sample similarity as side information. These local metrics, which utilize conical combinations of metric weight…
Multi-Task Learning Using Neighborhood Kernels
Niloofar Yousefi, Cong Li, Mansooreh Mollaghasemi +2
This paper introduces a new and effective algorithm for learning kernels in a Multi-Task Learning (MTL) setting. Although, we consider a MTL scenario here, our approach can be easi…