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AAAI
2012
11 years 7 months ago
An Object-Based Bayesian Framework for Top-Down Visual Attention
We introduce a new task-independent framework to model top-down overt visual attention based on graphical models for probabilistic inference and reasoning. We describe a Dynamic B...
Ali Borji, Dicky N. Sihite, Laurent Itti
TVCG
2010
139views more  TVCG 2010»
13 years 3 months ago
Mental Models, Visual Reasoning and Interaction in Information Visualization: A Top-down Perspective
—Although previous research has suggested that examining the interplay between internal and external representations can benefit our understanding of the role of information vis...
Zhicheng Liu, John T. Stasko
DEXAW
2010
IEEE
204views Database» more  DEXAW 2010»
13 years 6 months ago
Scalable Recursive Top-Down Hierarchical Clustering Approach with Implicit Model Selection for Textual Data Sets
Automatic generation of taxonomies can be useful for a wide area of applications. In our application scenario a topical hierarchy should be constructed reasonably fast from a large...
Markus Muhr, Vedran Sabol, Michael Granitzer
IV
2003
IEEE
118views Visualization» more  IV 2003»
13 years 10 months ago
Mental Representations and Visualization Processes in Organizational Memories
Visual metaphors describe cognitive processes in every part of life and function as a connection between what we see and what we think. Mental activities and perceptional interact...
Stefan Smolnik, Ludwig Nastansky, Torsten Knieps
CHI
1996
ACM
13 years 9 months ago
Structuring Information with Mental Models: A Tour of Boston
We present a new systematic method of structuring information using mental models. This method can be used both to evaluate the efficiency of an information structure and to build...
Ishantha Lokuge, Stephen A. Gilbert, Whitman Richa...