Event: GVU 15 Anniversay Celebration Symposium (2007)
GVU 15 Anniversary Celebration and Symposium GVU will celebrate “15 Years of Impact” at this anniversary symposium on October 25, 2007. This special day in GVU history will include: Morning keynote addressed by Andy van Dam and Genevieve Bell. Presentation of 15 GVU Impact Awards for the people, projects and programs that have had significant […]
Thesis: Mitch Parry PhD (2007), "Separation and Analysis of Multichannel Signals"
Mitch Parry (2007), Separation and Analysis of Multichannel Signals PhD Thesis [PDF], Georgia Institute of Techniology, College of Computing, Atlanta, GA. (Advisor: Irfan Essa) Abstract This thesis examines a large and growing class of digital signals that capture the combined effect of multiple underlying factors. In order to better understand these signals, we would like […]
Presentation: U of Maryland: "Computational Photography and Video: Spatio Temporal Analysis for Synthesis"
Computational Photography and Video: Spatio Temporal Analysis for Synthesis of Novel Images and Videos. ABSTRACT Digital image capture and processing has recently had a significant impact on the computer graphics quest for rendering novel scenes. In this talk, I will present an overview of series of ongoing efforts in the analysis of images and videos […]
Paper: ACM HyperText (2007) "The Evolution of Authorship in a Remix Society"
N. Diakopoulos, K. Luther, Y. Medynskiy, I. Essa (2007) The Evolution of Authorship in a Remix Society, ACM Hypertext 2007 Conference, Manchester, UK, September 2007 Abstract Authorship entails the constrained selection or generation of media and the organization and layout of that media in a larger structure. But authorship is more than just selection and […]
Funding: NSF/SGER (2007) "Persistent, Adaptive, Collaborative Synthespians"
Award#0749181 – SGER Collaborative Research: Persistent, Adaptive, Collaborative Synthespians ABSTRACT This project explores the development of methodologies for populating worlds with persistent, adaptive, collaborative, believable synthetic actors, referred to as Synthespians. These methods are extensions of adaptive models of learning and planning to accommodate the complex, dynamic environments in massive multi-player online games. The intellectual […]
Paper: AAAI 2007: "Discovering Multivariate Motifs using Subsequence Density Estimation and Greedy Mixture Learning"
Discovering Multivariate Motifs using Subsequence Density Estimation and Greedy Mixture Learning Abstract The problem of locating motifs in real-valued, multivariate time series data involves the discovery of sets of recurring patterns embedded in the time series. Each set is composed of several non-overlapping subsequences and constitutes a motif because all of the included subsequences are […]