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SIGIR
2011
ACM
13 years 1 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
12 years 11 months ago
Blurred Target Tracking by Blur-driven Tracker
Visual tracking plays an important role in many computer vision tasks. A common assumption in previous methods is that the video frames are blur free. In reality, motion blurs are...
Yi Wu, Haibin Ling, Jingyi Yu, Feng Li, Xue Mei, E...
DCOSS
2011
Springer
12 years 10 months ago
Link quality ranking: Getting the best out of unreliable links
—Link quality estimation has been an active area of research within the wireless sensor network community. It is now well known that the estimation of reliable links requires few...
Marco Zuniga, Izabela Irzynska, Jan-Hinrich Hauer,...
HUC
2011
Springer
12 years 10 months ago
The social fMRI: measuring, understanding, and designing social mechanisms in the real world
A key challenge of data-driven social science is the gathering of high quality multi-dimensional datasets. A second challenge relates to design and execution of structured experim...
Nadav Aharony, Wei Pan, Cory Ip, Inas Khayal, Alex...
CVPR
2012
IEEE
12 years 1 months ago
Parameterizing interpersonal behaviour with Laban movement analysis - A Bayesian approach
—In this paper we propose a probabilistic model to parameterize human interactive behaviour from human motion. To Support the model taxonomy, we use Laban Movement Analysis (LMA)...
Kamrad Khoshhal Roudposhti, Luís Santos, Ha...