1 citations · 1 across the 6 of their papers we have counts for
6 papers · 1 filter
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.…
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…
Cross-Spectral Analysis of Bivariate Graph Signals
Kyusoon Kim, Hee-Seok Oh
With the advancements in technology and monitoring tools, we often encounter multivariate graph signals, which can be seen as the realizations of multivariate graph processes, and…
Absolute average and median treatment effects as causal estimands on metric spaces
Ha-Young Shin, Kyusoon Kim, Kwonsang Lee +1
We define the notions of absolute average and median treatment effects as causal estimands on general metric spaces such as Riemannian manifolds, propose estimators using stratific…