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KDD
2010
ACM
265views Data Mining» more  KDD 2010»
15 years 4 months ago
Scalable influence maximization for prevalent viral marketing in large-scale social networks
Influence maximization, defined by Kempe, Kleinberg, and Tardos (2003), is the problem of finding a small set of seed nodes in a social network that maximizes the spread of influe...
Wei Chen, Chi Wang, Yajun Wang
109
Voted
PODC
2010
ACM
15 years 4 months ago
Brief announcement: adaptive content placement for peer-to-peer video-on-demand systems
In this paper, we address the problem of content placement in peer-to-peer systems, with the objective of maximizing the utilization of peers' uplink bandwidth resources. We ...
Bo Tan, Laurent Massoulié
176
Voted
CIVR
2008
Springer
279views Image Analysis» more  CIVR 2008»
15 years 4 months ago
Semi-supervised learning of object categories from paired local features
This paper presents a semi-supervised learning (SSL) approach to find similarities of images using statistics of local matches. SSL algorithms are well known for leveraging a larg...
Wen Wu, Jie Yang
99
Voted
DEXA
2008
Springer
87views Database» more  DEXA 2008»
15 years 4 months ago
Tracking Moving Objects in Anonymized Trajectories
Multiple target tracking (MTT) is a well-studied technique in the field of radar technology, which associates anonymized measurements with the appropriate object trajectories. This...
Nikolay Vyahhi, Spiridon Bakiras, Panos Kalnis, Ga...
148
Voted
ECAI
2008
Springer
15 years 4 months ago
A Decomposition Technique for Max-CSP
The objective of the Maximal Constraint Satisfaction Problem (Max-CSP) is to find an instantiation which minimizes the number of constraint violations in a constraint network. In t...
Hachemi Bennaceur, Christophe Lecoutre, Olivier Ro...
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