5 papers
Dual-Homotopy Framework for Constrained EM Algorithm
Jisoo Choi, Hee-Seok Oh
We propose a new constrained EM algorithm that is applicable to general constrained estimation problems. The proposed method is based on a novel framework, the `dual-homotopy frame…
Graph Canonical Coherence Analysis
Kyusoon Kim, Hee-Seok Oh
We propose graph canonical coherence analysis (gCChA), a novel framework that extends canonical correlation analysis to multivariate graph signals in the graph frequency domain. Th…
A data-based notion of quantiles on Hadamard spaces
Ha-Young Shin, Hee-Seok Oh
This paper defines an alternative notion, described as data-based, of geometric quantiles on Hadamard spaces, in contrast to the existing methodology, described as parameter-based.…
Geometric quantile-based measures of multivariate distributional characteristics
Ha-Young Shin, Hee-Seok Oh
Several new geometric quantile-based measures for multivariate dispersion, skewness, kurtosis, and spherical asymmetry are defined. These measures differ from existing measures, wh…
Principal Component Analysis in the Graph Frequency Domain
Kyusoon Kim, Hee-Seok Oh
We propose a novel principal component analysis in the graph frequency domain for dimension reduction of multivariate data residing on graphs. The proposed method not only effectiv…