Now showing items 1-9 of 9

    • A Content Enhancement Framework for Multi-Projector Systems 

      Hryniowski, Andrew (University of Waterloo, 2018-09-04)
      Projectors are a convenient technology for displaying content on large, abnormal, or temporary surfaces where mounting other forms of light emitting devices is too impractical or too expensive. Common uses of projectors ...
    • Content-Adaptive Non-Stationary Projector Resolution Enhancement 

      Hu, Xiaodan (University of Waterloo, 2019-04-18)
      For any projection system, one goal will surely be to maximize the quality of projected imagery at a minimized hardware cost, which is considered a challenging engineering problem. Experience in applying different image ...
    • Distance Measures for Probabilistic Patterns 

      Kennedy, Ian (University of Waterloo, 2020-01-07)
      Numerical measures of pattern dissimilarity are at the heart of pattern recognition and classification. Applications of pattern recognition grow more sophisticated every year, and consequently we require distance measures ...
    • Highly Efficient Deep Intelligence via Multi-Parent Evolutionary Synthesis of Deep Neural Networks 

      Chung, Audrey (University of Waterloo, 2020-02-11)
      Machine learning methods, and particularly deep neural networks, are a rapidly growing field and are currently being employed in domains such as science, business, and government. However, the significant success of neural ...
    • Kernel Methods and Measures for Classification with Transparency, Interpretability and Accuracy in Health Care 

      Carrington, André (University of Waterloo, 2018-09-05)
      Support vector machines are a popular method in machine learning. They learn from data about a subject, for example, lung tumors in a set of patients, to classify new data, such as, a new patient’s tumor. The new tumor is ...
    • Multi-Atlas based Segmentation of Multi-Modal Brain Images 

      Kasiri, Keyvan (University of Waterloo, 2016-05-20)
      Brain image analysis is playing a fundamental role in clinical and population-based epidemiological studies. Several brain disorder studies involve quantitative interpretation of brain scans and particularly require accurate ...
    • Projector Compensation for Unconventional Projection Surface 

      Sankar, Vignesh (University of Waterloo, 2018-12-19)
      Projecting onto irregular textured surfaces found on buildings, automobiles and theatre stages calls for the development of radiometric and geometric compensation algorithms that require no user intervention and compensate ...
    • Randomly-connected Non-Local Conditional Random Fields 

      Shafiee, Mohammad Javad (University of Waterloo, 2017-02-21)
      Structural data modeling is an important field of research. Structural data are the combination of latent variables being related to each other. The incorporation of these relations in modeling and taking advantage of those ...
    • Regularizing Deep Models for Visual Recognition 

      Barshan Tashnizi, Elnaz (University of Waterloo, 2016-10-26)
      Image understanding is a shared goal in all computer vision problems. This objective includes decomposing the image into a set of primitive components through which one can perform region segmentation, region labeling, ...

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