• 3D Hand Pose Estimation Via a Lightweight Deep Learning Model 

    Suggala, Prudhvi Sai (University of Missouri -- Kansas City, 2018)
    Deep Learning with depth cameras has enabled 3D hand pose estimation from RGBD images. Commercial solutions like Leap Motion and Intel RealSense™ use stereoscopic sensors or IR illumination-based methods to capture the ...
  • CR-GAN: Content-Based Recommender System with Conditional Generative Adversarial Networks 

    Vundela, Karthik Reddy (University of Missouri--Kansas City, 2018)
    Recommender systems have become increasingly popular by providing a wide range of products with a variety of styles. This trend has resulted in consumers expecting more intelligent and highly dynamic recommenders. The ...
  • Deep Assertion discovery using word embeddings 

    Nagabhushan, Megha (University of Missouri -- Kansas City, 2018)
    In recent years, there has been explosive growth in the amount of biomedical data (e.g., publications, notes from EHRs, clinical trial results), with the majority being unstructured data. As the volume of data is ...