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Contribution to Book
Interactive Machine Learning
IUI '03 Proceedings of the 8th International Conference on Intelligent User Interfaces (2003)
  • Jerry Alan Fails, Brigham Young University
  • Dan R. Olsen, Jr., Brigham Young University
Abstract
Perceptual user interfaces (PUIs) are an important part of ubiquitous computing. Creating such interfaces is difficult because of the image and signal processing knowledge required for creating classifiers. We propose an interactive machine-learning (IML) model that allows users to train, classify/view and correct the classifications. The concept and implementation details of IML are discussed and contrasted with classical machine learning models. Evaluations of two algorithms are also presented. We also briefly describe Image Processing with Crayons (Crayons), which is a tool for creating new camera-based interfaces using a simple painting metaphor. The Crayons tool embodies our notions of interactive machine learning.
Keywords
  • machine learning,
  • perceptive user interfaces,
  • interaction,
  • image processing,
  • classification
Disciplines
Publication Date
2003
Editor
David Leake, Lewis Johnson, and Elisabeth Andre
Publisher
Association of Computing Machinery
ISBN
1581135866
DOI
10.1145/604045.604056
Citation Information
Jerry Alan Fails and Dan R. Olsen. "Interactive Machine Learning" New YorkIUI '03 Proceedings of the 8th International Conference on Intelligent User Interfaces (2003) p. 39 - 45
Available at: http://works.bepress.com/jerry-fails/29/