463 citations · 5.1k across the 190 of their papers we have counts for
5 papers · 2 filters
Nested Dictionary Learning for Hierarchical Organization of Imagery and Text
Lingbo Li, XianXing Zhang, Mingyuan Zhou +1
A tree-based dictionary learning model is developed for joint analysis of imagery and associated text. The dictionary learning may be applied directly to the imagery from patches,…
A Bayesian Nonparametric Approach to Image Super-resolution
Gungor Polatkan, Mingyuan Zhou, Lawrence Carin +2
Super-resolution methods form high-resolution images from low-resolution images. In this paper, we develop a new Bayesian nonparametric model for super-resolution. Our method uses…
Inferring Latent Structure From Mixed Real and Categorical Relational Data
Esther Salazar, Matthew Cain, Elise Darling +2
We consider analysis of relational data (a matrix), in which the rows correspond to subjects (e.g., people) and the columns correspond to attributes. The elements of the matrix may…
Cross-Domain Multitask Learning with Latent Probit Models
Shaobo Han, Xuejun Liao, Lawrence Carin
Learning multiple tasks across heterogeneous domains is a challenging problem since the feature space may not be the same for different tasks. We assume the data in multiple tasks…
Communications Inspired Linear Discriminant Analysis
Minhua Chen, William Carson, Miguel Rodrigues +2
We study the problem of supervised linear dimensionality reduction, taking an information-theoretic viewpoint. The linear projection matrix is designed by maximizing the mutual inf…