Now showing items 21-30 of 41
Constructive Adaptive Visual Analogy
(Georgia Institute of Technology, 2004-08-11)
Visual knowledge appears to be an important part of problem solving, but the role of visual knowledge in analogical problem solving is still somewhat mysterious. In this work I present the Constructive Adaptive Visual ...
Switching linear dynamic systems with higher-order temporal structure
(Georgia Institute of Technology, 2009-07-06)
Automated analysis of temporal data is a task of utmost importance for intelligent machines. For example, ubiquitous computing systems need to understand the intention of humans from the stream of sensory information, and ...
Understanding user engagement in immersive and interactive stories
(Georgia Institute of Technology, 2008-09-23)
Popular science fiction often proffers the Holodeck vision for future immersive media: a seamless and transparent interface connecting users to a virtual world where they transform into a story character and influence ...
Countering murphys law: the use of anticipation and improvisation via an episodic memory in support of intelligent robot behavior
(Georgia Institute of Technology, 2008-10-21)
Recently in robotics, substantial efforts have been invested on critical applications such as military, nursing, and search-and-rescue. These applications are critical in a sense that the robots may directly deal with human ...
Learning without labels and nonnegative tensor factorization
(Georgia Institute of Technology, 2010-04-08)
Supervised learning tasks like building a classifier, estimating the error rate of the predictors, are typically performed with labeled data. In most cases, obtaining labeled data is costly as it requires manual labeling. ...
From Shape to Function: Acquisition of Teleological Models from Design Drawings by Compositional Analogy
(Georgia Institute of Technology, 2007-10-18)
Visual media are of great importance to designers. Understanding a new design, for example, often means understanding a drawing. From the perspective of artificial intelligence, this implies that automated knowledge ...
Task transparency in learning by demonstration : gaze, pointing, and dialog
(Georgia Institute of Technology, 2010-07-07)
This body of work explores an emerging aspect of human-robot interaction, transparency. Socially guided machine learning has proven that highly immersive robotic behaviors have yielded better results than lesser interactive ...
Domain knowledge, uncertainty, and parameter constraints
(Georgia Institute of Technology, 2010-08-24)
Scaling solutions to Markov Decision Problems
(Georgia Institute of Technology, 2011-11-14)
The Markov Decision Problem (MDP) is a widely applied mathematical model useful for describing a wide array of real world decision problems ranging from navigation to scheduling to robotics. Existing methods for solving ...
Interest management scheme and prediction model in intelligent transportation systems
(Georgia Institute of Technology, 2012-10-12)
This thesis focuses on two important problems related to DDDAS: interest management (data distribution) and prediction models. In order to reduce communication overhead, we propose a new interest management mechanism for ...