— This paper presents a novel approach for tracking a moving target of interest across a large-scale distributed camera system where some of the cameras are mobile. The growing t...
There are a variety of methods for inducing predictive systems from observed data. Many of these methods fall into the field of study of machine learning. Some of the most effec...
This essay draws on participant observation, ethnographic interviews, phenomenological inquiry, and recent insights from the study of swarm intelligence and complex networks to ill...
We introduce Gaussian process dynamical models (GPDMs) for nonlinear time series analysis, with applications to learning models of human pose and motion from high-dimensional motio...
The Ingenuity™ Pathways Knowledge Base (IPKB) contains over one million findings manually curated from the scientific literature. Highly-structured content from the IPKB forms...
Andreas Kramer, Daniel R. Richards, James O. Bowlb...