The observations in many applications consist of counts of discrete events, such as photons hitting a detector, which cannot be effectively modeled using an additive bounded or Ga...
Zachary T. Harmany, Roummel F. Marcia, Rebecca Wil...
A key problem in reinforcement learning is finding a good balance between the need to explore the environment and the need to gain rewards by exploiting existing knowledge. Much ...
If models can be true, where is their truth located? Giere (e.g. 1988) has suggested an account of theoretical models on which models themselves are not truth-valued. The paper su...
We present a simple framework to model contextual
relationships between visual concepts. The new framework
combines ideas from previous object-centric methods
(which model conte...
Nikhil Rasiwasia (University Of California, San Di...
In this paper we present a parametric model for facial animation and a method for adapting it to a specific person. Every facial expression can be described as a contraction or r...