We describe how to teach deformable models to maximize image segmentation correctness based on user-specified criteria, and we present a method for evaluating which criteria work ...
— We present a fast GPU-based algorithm to approximate the Swept Volume (SV) boundary of arbitrary polygon soup models. Despite the extensive research on calculating the volume s...
Jesse C. Himmelstein, Etienne Ferre, Jean-Paul Lau...
Because of the large amount of trajectory data produced by mobile devices, there is an increasing need for mechanisms to extract knowledge from this data. Most existing works have...
In this paper, we propose a novel boosted mixture learning (BML) framework for Gaussian mixture HMMs in speech recognition. BML is an incremental method to learn mixture models fo...
Humans are articulated objects composed of non-rigid parts. We are interested in detecting and tracking human motions over various periods of time. In this paper we describe a met...