7 citations · 11 across the 7 of their papers we have counts for
7 papers
A Comparison Study on Nonlinear Dimension Reduction Methods with Kernel Variations: Visualization, Optimization and Classification
Katherine C. Kempfert, Yishi Wang, Cuixian Chen +1
Because of high dimensionality, correlation among covariates, and noise contained in data, dimension reduction (DR) techniques are often employed to the application of machine lear…
Transfer Learning with Deep CNNs for Gender Recognition and Age Estimation
Philip Smith, Cuixian Chen
In this project, competition-winning deep neural networks with pretrained weights are used for image-based gender recognition and age estimation. Transfer learning is explored usin…
Image Pre-processing Using OpenCV Library on MORPH-II Face Database
Benjamin Yip, Rachel Towner, Troy Kling +2
This paper outlines the steps taken toward pre-processing the 55,134 images of the MORPH-II non-commercial dataset. Following the introduction, section two begins with an overview…
Preliminary Studies on a Large Face Database
Benjamin Yip, Garrett Bingham, Katherine Kempfert +4
We perform preliminary studies on a large longitudinal face database MORPH-II, which is a benchmark dataset in the field of computer vision and pattern recognition. First, we summa…
Gender Effect on Face Recognition for a Large Longitudinal Database
Caroline Werther, Morgan Ferguson, Kevin Park +3
Aging or gender variation can affect the face recognition performance dramatically. While most of the face recognition studies are focused on the variation of pose, illumination an…
Two Sample Order Free Trend Inference with an Application in Plant Physiology
Yishi Wang, Ann E. Stapleton, Cuixian Chen
This work is motivated by a biological experiment with a split-plot design, for the purpose of comparison of the changing patterns in seed weight from two treatment groups as subgr…
Bayesian Model-Averaged Benchmark Dose Analysis Via Reparameterized Quantal-Response Models
Qijun Fang, Walter W. Piegorsch, Susan J. Simmons +3
An important objective in biomedical risk assessment is estimation of minimum exposure levels that induce a pre-specified adverse response in a target population. The exposure/dose…