Automating the design of graphical presentations of relational information
ACM Transactions on Graphics (TOG)
Data characterization for intelligent graphics presentation
CHI '90 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Task-analytic approach to the automated design of graphic presentations
ACM Transactions on Graphics (TOG)
C4.5: programs for machine learning
C4.5: programs for machine learning
Information visualization using 3D interactive animation
Communications of the ACM - Special issue on graphical user interfaces
Creating charts by demonstration
CHI '94 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
A classification of visual representations
Communications of the ACM
Using semantic contents and WordNet in image retrieval
Proceedings of the 20th annual international ACM SIGIR conference on Research and development in information retrieval
Sketching, searching, and customizing visualizations: a content-based approach to design retrieval
Intelligent multimedia information retrieval
Automated Visual Presentation: From Heterogeneous Information to Coherent Visual Discourse
Journal of Intelligent Information Systems - Special issue on information visualization: the next frontier
Past, present, and future of user interface software tools
ACM Transactions on Computer-Human Interaction (TOCHI) - Special issue on human-computer interaction in the new millennium, Part 1
Example based generation of custom data analysis appliances
Proceedings of the 6th international conference on Intelligent user interfaces
Information Graphics: A Comprehensive Illustrated Reference: Visual Tools for Analyzing, Managing, and Communicating
Machine Learning
Visual Cues: Practical Data Visualization
Visual Cues: Practical Data Visualization
Visual Planning: A Practical Approach to Automated Presentation Design
IJCAI '99 Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence
Learning intonation rules for Concept to Speech generation
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 2
Automated generation of graphic sketches by example
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
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Information graphics, which include graphs, charts, and diagrams, are visual illustrations that facilitate human comprehension of information. In this paper, we present our work on applying machine learning to the automated generation of information graphics. Our approach is embodied in a hybrid graphics generation system, IMPROVISE*, which uses both rule-based and example-based generation engines. We discuss the use of machine learning to support such systems from three aspects. First, we introduce an object-oriented, integrated hierarchical feature representation for annotating information graphics. Second, we describe how to use decision-tree learning to automatically extract design rules from a set of annotated graphic examples. Our results demonstrate that we can acquire, with quantitative confidence, concise rules that are difficult to obtain in handcrafted rules. Third, we present a casebased learning method to retrieve matched graphic examples based on user requests. Specifically, we use a semantics-based, quantitative visual similarity measuring algorithm to retrieve the top-k matched examples from a visual database. To help users browse a graphics database and understand the inherent relations among different examples, we combine our similarity measuring model with a hierarchical clustering algorithm to dynamically organize our graphic examples based on user interests.