Now showing items 1-5 of 5

    • Deep learning approach to discontinuity-preserving image registration 

      Ng, Eric (2020-05-01)
      Image registration is an indispensable tool in medical image analysis. Traditionally, registration algorithms are aimed at aligning image pairs using regularizers to impose smoothness restrictions on unknown deformation ...
    • Discrete optimization of upgrade scheduling 

      Smith, Derick (2022-08-01)
      A primary objective of the mission to meet climate change goals of reducing greenhouse gas (GHG) emissions is to transition from fossil fuels to zero-emission energy. Fossil fuel production and transportation account for ...
    • Extending the relational model with constraint satisfaction 

      Valdron, Michael J. (2021-01-01)
      We propose a new approach to data driven constraint programming. By extending the relational model to handle constraints and variables as first class citizens, we are able to express first order logic SAT problems using ...
    • Optimizing relational search with embedded neural network 

      Ma, Limin (2023-04-01)
      Our research focuses on a novel method to query relational data. We propose the partial tuple search problem where a user can utilize keyword search to explore complex relational datasets. The challenge of evaluation of ...
    • Visual Analytics for Topic Model Optimization based on User-Steerable Speculative Execution 

      El-Assady, Mennatallah; Sperrle, Fabian; Deussen, Oliver; Keim, Daniel; Collins, Christopher (IEEE, 2018-09-18)
      To effectively assess the potential consequences of human interventions in model-driven analytics systems, we establish the concept of speculative execution as a visual analytics paradigm for creating user-steerable preview ...