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University of Illinois at Urbana-Champaign

Mining Intelligence of Crowds for Knowledge Inference

Abstract

dc:description

Finally, we explore the possibilities of using knowledge repositories for expressing image information in the form of knowledge concepts. We build an affinity matrix for over 22 000 concepts and 135 000 images. Distributed infrastructure for handling terabytes of data is laid down and initial results are reported for the proposed algorithm.

Degree

thesis:*
Name thesis:degree_name
Ph.D.
Level thesis:degree_level
Dissertation
Discipline thesis:degree_discipline
Electrical and Computer Engineering
Grantor
University of Illinois at Urbana-Champaign
Year dc:date
2015

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Rahurkar, Mandar
Contributors dc:contributor
  • Huang, Thomas S.

Subjects

dc:subject × 1

Rights

Language dc:language
eng

Identifiers

dc:identifier.*
Identifier
(MiAaPQ)AAI3337893
OAI identifier oai:identifier
oai:www.ideals.illinois.edu:2142/81102

Chain of custody

source
Harvested from
University of Illinois - Urbana-Champaign
Base URL
www.ideals.illinois.edu/oai-pmh
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Rahurkar, Mandar. Mining Intelligence of Crowds for Knowledge Inference. Dissertation thesis, University of Illinois at Urbana-Champaign, 2015. http://hdl.handle.net/2142/81102