(Enter summary)
Abstract: With the growing use of computers and computing objects in the design of many of the day to day
tools that humans use, human-computer intelligent interaction is seen as a necessary step for the ability
to make computers better aid the human user. There are many tasks involved in designing good interaction
between humans and machines. One basic task, related to many such applications, is automatic
classification by the machine. Designing a classifier can be done by domain experts or by learning... (Update)
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BibTeX entry: (Update)
I. Cohen. Semi-supervised learning of classifiers with application to human computer interaction. PhD thesis, University of Illinois at Urbana-Champaign, Dept. of Electrical Engineering, 2003. http://citeseer.ist.psu.edu/cohen03semisupervised.html More
@misc{ cohen03semisupervised,
author = "I. Cohen",
title = "Semi-supervised learning of classifiers with application to human computer
interaction",
text = "I. Cohen. Semi-supervised learning of classifiers with application to human
computer interaction. PhD thesis, University of Illinois at Urbana-Champaign,
Dept. of Electrical Engineering, 2003.",
year = "2003",
url = "citeseer.ist.psu.edu/cohen03semisupervised.html" }
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http://www.ai.mit.edu/projects/cbcl
Documents on the same site (http://www.ifp.uiuc.edu/~iracohen/publications.htm): More
Unlabeled Data Can Degrade Classification Performance of.. - Cozman, Cohen (2002)
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Emotion Recognition from Facial Expressions using Multilevel.. - Cohen, Garg, Huang (2000)
(Correct)
Facial Expression Recognition from Video Sequences.. - Cohen, Sebe, Chen.. (2003)
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