NDLI: HIGCALS: a hierarchical graph-theoretic clustering active learning system

Content Provider	IEEE Xplore Digital Library
Author	Wei Hu Weiming Hu
Copyright Year	2006
Description	Author affiliation: Chinese Acad. of Sci., Beijing (Wei Hu; Weiming Hu)
Abstract	Active learning aims at automatically selecting highly informative unseen data for humans to label under the condition that only few labeled samples are ready for use. Most of previous researches in active learning take advantage of supervised learning. Due to semantic gap problem, these existing active learning algorithms are not very effective on lessening human labeling efforts, especially in multiclass applications. In this paper, we propose a novel active learning framework based on unsupervised learning, and implement a hierarchical graph-theoretic clustering active learning system (HIGCALS). HIGCALS outperforms the existing active learning systems in several aspects, such as flexibility in system architecture and simpleness in system upgrade. Experiments on KDDCUP99 data set has demonstrated that HIGCALS can effectively reduce the workload of manual labeling without losing much accuracy.
Starting Page	3895
Ending Page	3900
File Size	1162836
Page Count	6
File Format	PDF
ISBN	1424400996
DOI	10.1109/ICSMC.2006.384739
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-10-08
Publisher Place	Taiwan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Learning systems Supervised learning Labeling Humans Clustering algorithms Unsupervised learning Computer vision Cybernetics Information retrieval Image retrieval
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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