31 citations · 59 across the 4 of their papers we have counts for
4 papers
Sequential Embedding Induced Text Clustering, a Non-parametric Bayesian Approach
Tiehang Duan, Qi Lou, Sargur N. Srihari +1
Current state-of-the-art nonparametric Bayesian text clustering methods model documents through multinomial distribution on bags of words. Although these methods can effectively ut…
Deep Multi-instance Networks with Sparse Label Assignment for Whole Mammogram Classification
Wentao Zhu, Qi Lou, Yeeleng Scott Vang +1
Mammogram classification is directly related to computer-aided diagnosis of breast cancer. Traditional methods rely on regions of interest (ROIs) which require great efforts to ann…
Deep Multi-instance Networks with Sparse Label Assignment for Whole Mammogram Classification
Wentao Zhu, Qi Lou, Yeeleng Scott Vang +1
Mammogram classification is directly related to computer-aided diagnosis of breast cancer. Traditional methods requires great effort to annotate the training data by costly manual…
Novelty Detection Under Multi-Instance Multi-Label Framework
Qi Lou, Raviv Raich, Forrest Briggs +1
Novelty detection plays an important role in machine learning and signal processing. This paper studies novelty detection in a new setting where the data object is represented as a…