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EMMCVPR
2011
Springer
13 years 9 months ago
Data-Driven Importance Distributions for Articulated Tracking
Abstract. We present two data-driven importance distributions for particle filterbased articulated tracking; one based on background subtraction, another on depth information. In ...
Søren Hauberg, Kim Steenstrup Pedersen
KDD
2012
ACM
178views Data Mining» more  KDD 2012»
13 years 5 days ago
Differentially private transit data publication: a case study on the montreal transportation system
With the wide deployment of smart card automated fare collection (SCAFC) systems, public transit agencies have been benefiting from huge volume of transit data, a kind of sequent...
Rui Chen, Benjamin C. M. Fung, Bipin C. Desai, N&e...
SIGIR
2012
ACM
13 years 5 days ago
Cognos: crowdsourcing search for topic experts in microblogs
Finding topic experts on microblogging sites with millions of users, such as Twitter, is a hard and challenging problem. In this paper, we propose and investigate a new methodolog...
Saptarshi Ghosh, Naveen Kumar Sharma, Fabrí...
CVPR
2012
IEEE
13 years 5 days ago
Geodesic flow kernel for unsupervised domain adaptation
In real-world applications of visual recognition, many factors—such as pose, illumination, or image quality—can cause a significant mismatch between the source domain on whic...
Boqing Gong, Yuan Shi, Fei Sha, Kristen Grauman
KDD
2009
ACM
204views Data Mining» more  KDD 2009»
15 years 10 months ago
Improving classification accuracy using automatically extracted training data
Classification is a core task in knowledge discovery and data mining, and there has been substantial research effort in developing sophisticated classification models. In a parall...
Ariel Fuxman, Anitha Kannan, Andrew B. Goldberg, R...
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