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» Online Empirical Evaluation of Tracking Algorithms
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AAAI
2012
12 years 11 months ago
Online Task Assignment in Crowdsourcing Markets
We explore the problem of assigning heterogeneous tasks to workers with different, unknown skill sets in crowdsourcing markets such as Amazon Mechanical Turk. We first formalize ...
Chien-Ju Ho, Jennifer Wortman Vaughan
KDD
2005
ACM
181views Data Mining» more  KDD 2005»
15 years 9 months ago
Evaluating similarity measures: a large-scale study in the orkut social network
Online information services have grown too large for users to navigate without the help of automated tools such as collaborative filtering, which makes recommendations to users ba...
Ellen Spertus, Mehran Sahami, Orkut Buyukkokten
GIS
2006
ACM
15 years 10 months ago
On-line maintenance of simplified weighted graphs for efficient distance queries
We give two efficient on-line algorithms to simplify weighted graphs by eliminating degree-two vertices. Our algorithms are on-line -- they react to updates on the data, keeping t...
Floris Geerts, Peter Z. Revesz, Jan Van den Bussch...
KDD
2012
ACM
187views Data Mining» more  KDD 2012»
12 years 12 months ago
Online learning to diversify from implicit feedback
In order to minimize redundancy and optimize coverage of multiple user interests, search engines and recommender systems aim to diversify their set of results. To date, these dive...
Karthik Raman, Pannaga Shivaswamy, Thorsten Joachi...
CVPR
2010
IEEE
15 years 2 months ago
Visual Tracking via Weakly Supervised Learning from Multiple Imperfect Oracles
Long-term persistent tracking in ever-changing environments is a challenging task, which often requires addressing difficult object appearance update problems. To solve them, most...
Bineng Zhong, Hongxun Yao, Sheng Chen, Xiaotong Yu...