• Generalized Loss Functions for Generative Adversarial Networks 

      Bhatia, Himesh
      This thesis investigates the use of parameterized families of information-theoretic measures to generalize the loss functions of generative adversarial networks (GANs) under the objective of improving performance. A new ...
    • On the Convergence and Applications of Mean Shift Type Algorithms 

      Aliyari Ghassabeh, Youness (2013-10-01)
      Mean shift (MS) and subspace constrained mean shift (SCMS) algorithms are non-parametric, iterative methods to find a representation of a high dimensional data set on a principal curve or surface embedded in a high ...