'Gaussian process regression' presentation slideshows

Machine Learning on Massive Datasets

Machine Learning on Massive Datasets. Alexander Gray Georgia Institute of Technology College of Computing FASTlab: Fundamental Algorithmic and Statistical Tools Laboratory. The FASTlab F undamental A lgorithmic and S tatistical T ools Laboratory www.fast-lab.org.

847 views • 84 slides

Data Mining at NASA: from Theory to Applications

Data Mining at NASA: from Theory to Applications. Ashok N. Srivastava, Ph.D. Principal Investigator, IVHM Project Group Lead, Intelligent Data Understanding ashok.n.srivastava@nasa.gov. Intelligent Data Understanding Group.

804 views • 66 slides

Data Mining at NASA: from Theory to Applications

Data Mining at NASA: from Theory to Applications. Ashok N. Srivastava, Ph.D. Principal Investigator, IVHM Project Group Lead, Intelligent Data Understanding ashok.n.srivastava@nasa.gov. Intelligent Data Understanding Group.

833 views • 66 slides

Detecting Regions of Interest in Dynamic Scenes with Camera Motions

Detecting Regions of Interest in Dynamic Scenes with Camera Motions. OUTLINE. Introduction Related Work Detecting Regions of Interest Evaluation and Results Conclusion. Introduction.

421 views • 29 slides

Learning on the Fly: Rapid Adaptation to the Image

405 views • 26 slides

Gaussian Processes

Gaussian Processes. Li An anli@temple.edu. The Plan. Introduction to Gaussian Processes Revisit Linear regression Linear regression updated by Gaussian Processes Gaussian Processes for Regression Conclusion. Why GPs?. Here are some data points! What function did they come from?

1.08k views • 19 slides

Learning Photographic Global Tonal Adjustment with a Database of Input / Output Image Pairs

350 views • 19 slides

Fast Algorithms for Analyzing Massive Data

Fast Algorithms for Analyzing Massive Data. Alexander Gray Georgia Institute of Technology www.fast-lab.org. The FASTlab F undamental A lgorithmic and S tatistical T ools Laboratory www.fast-lab.org. Alexander Gray: Assoc Prof , Applied Math + CS; PhD CS

308 views • 19 slides

Variational Inference for Mahalanobis Distance Metrics in Gaussian Process Regression

169 views • 16 slides

Explosive Growth in Complexity of Interatomic Potentials

SNAP: Automated Generation of Quantum Accurate Potentials for Large-Scale Atomistic Materials Simulation Aidan Thompson , Stephen Foiles , Peter Schultz, Laura Swiler , Christian Trott , Garritt Tucker Sandia National Laboratories SAND Numbers: 2013-2093C, 2013-4097P.

387 views • 15 slides

Information Brokerage and Delivery to Mobile Sinks

Information Brokerage and Delivery to Mobile Sinks. HyungJune Lee, Branislav Kusy, Martin Wicke. Motivations. How to forward relevant data to mobile sinks with hard latency constraint? Use two-tier architecture 1) Exploit stationary node networks to forward packets with reliability

226 views • 14 slides

RoadMap Based Robot Motion Planning

SURGE 2014. RoadMap Based Robot Motion Planning. By, Siddhant Manocha (12714), Department of Computer Sci. and Eng. Indian Institute of Technology,Kanpur . Mentor: Dr.Amitabha Mukerjee Department of Computer Sci. and Eng. Indian Institute of Technology,Kanpur. Introduction.

240 views • 12 slides