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CGF
2010
124views more  CGF 2010»
15 years 5 months ago
DTI in Context: Illustrating Brain Fiber Tracts In Situ
We present an interactive illustrative visualization method inspired by traditional pen-and-ink illustration styles. Specifically, we explore how to provide context around DTI fib...
Pjotr Svetachov, Maarten H. Everts, Tobias Isenber...
IJRR
2010
177views more  IJRR 2010»
15 years 4 months ago
Learning from Demonstration for Autonomous Navigation in Complex Unstructured Terrain
Rough terrain autonomous navigation continues to pose a challenge to the robotics community. Robust navigation by a mobile robot depends not only on the individual performance of ...
David Silver, J. Andrew Bagnell, Anthony Stentz
ICWSM
2009
15 years 3 months ago
Analyzing and Predicting Community Preference of Socially Generated Metadata: A Case Study on Comments in the Digg Community
Large-scale socially-generated metadata is one of the key features driving the growth and success of the emerging Social Web. Recently there have been many research efforts to stu...
Elham Khabiri, Chiao-Fang Hsu, James Caverlee
SIGIR
2011
ACM
14 years 8 months ago
Learning to rank from a noisy crowd
We study how to best use crowdsourced relevance judgments learning to rank [1, 7]. We integrate two lines of prior work: unreliable crowd-based binary annotation for binary classi...
Abhimanu Kumar, Matthew Lease
KDD
2007
ACM
122views Data Mining» more  KDD 2007»
16 years 6 months ago
Expertise modeling for matching papers with reviewers
An essential part of an expert-finding task, such as matching reviewers to submitted papers, is the ability to model the expertise of a person based on documents. We evaluate seve...
David M. Mimno, Andrew McCallum