The most popular way to use probabilistic models in vision is first to extract some descriptors of small image patches or object parts using well-engineered features, and then to...
We propose a new family of latent variable models called max-margin min-entropy (m3e) models, which define a distribution over the output and the hidden variables conditioned on ...
Kevin Miller, M. Pawan Kumar, Benjamin Packer, Dan...
We present a physically-based analytical model of the daytime sky. Based on the results of a first-principles brute force simulation of radiative transfer in the atmosphere, we u...
Estimating remaining defects or failures in software can help test managers make release decisions during testing. Several methods exist to estimate defect content, among them a v...
The main aim of our work is to create a realistic model of the behaviour of the upper airways during laryngoscopy. In this procedure the anaesthetist uses a rigid blade to displac...