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CGF
2010
124views more  CGF 2010»
13 years 10 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»
13 years 8 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
13 years 7 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
13 years 24 days 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»
14 years 10 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