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SARA
2007
Springer
15 years 11 months ago
Active Learning of Dynamic Bayesian Networks in Markov Decision Processes
Several recent techniques for solving Markov decision processes use dynamic Bayesian networks to compactly represent tasks. The dynamic Bayesian network representation may not be g...
Anders Jonsson, Andrew G. Barto
128
Voted
SIGSAND
2008
15 years 6 months ago
The Impact of Activity Labeling Styles on Process Model Quality
Abstract: Quality issues and their connection with structural aspects of process models have been recently studied, but there is still a notable lack of research into quality aspec...
Jan Mendling, Hajo A. Reijers
125
Voted
APVIS
2006
15 years 6 months ago
Visual narratives: the essential role of imagination in the visualization process
The goal of this short form paper is to introduce ideas in contemporary visualization that use hand generated methods to engage the imagination of the author and audience to enhan...
Mark Baskinger, Ki-Chol Nam
CHI
2010
ACM
15 years 12 months ago
Artifacts in design: representation, ideation, and process
Artifacts—representations that express properties or captured information—can serve to inspire, represent, and manage the decisions made throughout the design process. This wo...
D. Scott McCrickard, Michael E. Atwood, Gayle Curt...
FGR
2008
IEEE
286views Biometrics» more  FGR 2008»
15 years 11 months ago
Complementary computing for visual tasks: Meshing computer vision with human visual processing
We explore the opportunity to harness electroencephalograph (EEG) signals generated during human visual processing to enhance computer vision systems. We review the challenging ta...
Ashish Kapoor, Desney S. Tan, Pradeep Shenoy, Eric...