We review algorithms developed for nonnegative matrix factorization (NMF) and
nonnegative tensor factorization (NTF) from a unified view based on the block coordinate …

The importance of unsupervised clustering and topic modeling is well recognized with ever-
increasing volumes of text data available from numerous sources. Nonnegative matrix …

A hybrid method called JointNMF is presented which is applied to latent information
discovery from data sets that contain both text content and connection structure information …

This paper proposes a novel interactive system for exploratory document search in multi-
type data sets that employs a data fusion approach. The system, designed to visualize …

Background Community discovery is an important task for revealing structures in large
networks. The massive size of contemporary social networks poses a tremendous challenge …

In the rapidly evolving healthcare industry, platforms now have access to not only traditional
medical records, but also diverse data sets encompassing various patient interactions, such …

Recent advances allow for the construction of filters with precisely defined frequency
response for use in Raman chemical spectroscopy. In this paper we give a probabilistic …

Event detection is a very important problem across many domains and is a broadly
applicable encompassing many disciplines within engineering systems. In this paper, we …

The importance of unsupervised clustering and topic modeling is well recognized with
everincreasing volumes of text data. In this paper, we propose a fast method for hierarchical …

Raman spectrometers are studied and developed for the military purposes because of their
nondestructive inspection capability to capture unique spectral features induced by …