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SIGIR
2011
ACM
14 years 9 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
ICCV
2011
IEEE
14 years 6 months ago
HMDB: A Large Video Database for Human Motion Recognition
With nearly one billion online videos viewed everyday, an emerging new frontier in computer vision research is recognition and search in video. While much effort has been devoted ...
Hildegard Kuehne, Hueihan Jhuang, Estibaliz Garrot...
SIGMOD
2012
ACM
234views Database» more  SIGMOD 2012»
13 years 9 months ago
BloomUnit: declarative testing for distributed programs
We present BloomUnit, a testing framework for distributed programs written in the Bloom language. BloomUnit allows developers to write declarative test specifications that descri...
Peter Alvaro, Andrew Hutchinson, Neil Conway, Will...
KDD
2012
ACM
212views Data Mining» more  KDD 2012»
13 years 9 months ago
eTrust: understanding trust evolution in an online world
Most existing research about online trust assumes static trust relations between users. As we are informed by social sciences, trust evolves as humans interact. Little work exists...
Jiliang Tang, Huan Liu, Huiji Gao, Atish Das Sarma...
TVCG
2012
184views Hardware» more  TVCG 2012»
13 years 9 months ago
Output-Sensitive Construction of Reeb Graphs
—The Reeb graph of a scalar function represents the evolution of the topology of its level sets. This paper describes a near-optimal output-sensitive algorithm for computing the ...
Harish Doraiswamy, Vijay Natarajan
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