The objective of data reduction is to obtain a compact representation of a large data set to facilitate repeated use of non-redundant information with complex and slow learning alg...
In order to discover relevant weights of neural networks, this paper proposes a novel method to learn a distinct squared penalty factor for each weight as a minimization problem ov...
Detection of interactions among data items constitutes an essential part of knowledge discovery. The cascade model is a rule induction methodology using levelwise expansion of a la...
—In this paper, we propose a method to model the material constants (Young’s modulus) of the skin in subregions of the face from the motion observed in multiple facial expressi...
Vasant Manohar, Matthew Shreve, Dmitry Goldgof, Su...