Mouse behavior recognition with the wisdom of crowd
Name
862813853-MIT.pdf
Description
Full printable version
Size
6.21 MB
Format
Adobe PDF
Checksum (MD5)
193e75f2a56195b0418a7837aec46cb6
Author(s)
Ni, Yuzhao
Advisor(s)
Tomaso Poggio.
Date Issued
2013
Publisher
Massachusetts Institute of Technology
Abstract
In this thesis, we designed and implemented a crowdsourcing system to annotate mouse behaviors in videos; this involves the development of a novel clip-based video labeling tools, that is more efficient than traditional labeling tools in crowdsourcing platform, as well as the design of probabilistic inference algorithms that predict the true labels and the workers' expertise from multiple workers' responses. Our algorithms are shown to perform better than majority vote heuristic. We also carried out extensive experiments to determine the effectiveness of our labeling tool, inference algorithms and the overall system.
Description
Thesis (S.M.)--Massachusetts Institute of Technology, Computation for Design and Optimization Program, 2013.
Cataloged from PDF version of thesis.
Includes bibliographical references (p. 67-72).
Subjects
Computation for Design and Optimization Program.
MIT Department
Massachusetts Institute of Technology. Computation for Design and Optimization Program
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copyright. They may be viewed from this source for any purpose, but
reproduction or distribution in any format is prohibited without written
permission. See provided URL for inquiries about permission.
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