Transfer learning addresses the problem of how to utilize plenty of labeled data in a source domain to solve related but different problems in a target domain, even when the training and testing problems have different distributions or features. In this paper, we consider transfer learning via dimensionality reduction. To solve this problem, we learn a low-dimensional latent feature space where...

Cluster methods have been successfully applied in gene expression data analysis to address tumor classification. By grouping tissue samples into homogeneous subsets, more systematic characterization can be developed and new subtypes of tumors be discovered. Central to cluster analysis is the notion of similarity between the individual samples. In this paper, we propose latent structure models a...

Learning a proper distance metric is of vital importance for many distance based applications. Distance metric learning aims to learn a set of latent factors based on which the distances between data points can be effectively measured. The number of latent factors incurs a tradeoff: a small amount of factors are not powerful and expressive enough to measure distances while a large number of fac...

HIV's ability to establish long-lived latent infection is mainly due to transcriptional silencing in resting memory T lymphocytes and other non dividing cells including monocytes. Despite an undetectable viral load in patients treated with potent antiretrovirals, current therapy is unable to purge the virus from these latent reservoirs. In order to broaden the inhibitory range and effectiveness...

Latent models for opinion classification are studied. Training a probabilistic model with a number of latent variables is found unstable in some cases; thus this paper presents how to construct a stable model for opinion classification by constraining classification transitions. The baseline model is a CRF classification model with plural latent variables, dynamically constructed from the depen...

Like all health care practitioners, physical and occupational therapists provide services to their patients that are intended to increase patient health and well-being. But because patient health and well-being are inherently latent, therapists are often forced to utilize indirect methods for measuring the effectiveness of their practices. These indirect methods usually involve gathering data o...