• Publications
  • Influence
Continuous Time Bayesian Networks
TLDR
In this paper we present a language for finite state continuous time Bayesian networks (CTBNs), which describe structured stochastic processes that evolve over continuous time. Expand
Fast time series classification using numerosity reduction
TLDR
We propose an additional technique, numerosity reduction, to speed up one-nearest-neighbor DTW, and show that it can efficiently produce extremely fast accurate classifiers. Expand
Learning Continuous Time Bayesian Networks
TLDR
Continuous time Bayesian networks describe structured stochastic processes with finitely many states that evolve over continuous time. Expand
First Light Adaptive Optics Images from the Keck II Telescope : A New Era of High Angular Resolution Imagery
ABSTRACT Adaptive optics (AO) is a technology that corrects in real time for the blurring effects of atmospheric turbulence, in principle allowing Earth‐bound telescopes to achieve their diffractionExpand
Automated, highly-accurate, bug assignment using machine learning and tossing graphs
TLDR
We employ a comprehensive set of machine learning tools and a probabilistic graph-based model (bug tossing graphs) that lead to highly-accurate predictions, and lay the foundation for the next generation of machine Learning-based bug assignment. Expand
Improving multi-target tracking via social grouping
  • Zhen Qin, C. Shelton
  • Computer Science
  • IEEE Conference on Computer Vision and Pattern…
  • 16 June 2012
TLDR
We address the problem of multi-person data-association-based tracking (DAT) in semi-crowded environments from a single camera. Expand
Momentum control for balance
TLDR
We demonstrate a real-time simulation system capable of automatically balancing a standing character, while at the same time tracking a reference motion and responding to external perturbations. Expand
A Continuation Method for Nash Equilibria in Structured Games
TLDR
This paper presents efficient, exact algorithms for computing Nash equilibria in structured game representations, including both graphical games and multi-agent influence diagrams (MAIDs). Expand
Momentum control for balance
TLDR
We demonstrate a real-time simulation system capable of automatically balancing a standing character, while at the same time tracking a reference motion and responding to external perturbations. Expand
Importance sampling for reinforcement learning with multiple objectives
TLDR
This thesis considers three complications that arise from applying reinforcement learning to a real-world application. Expand
...
1
2
3
4
5
...