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» A framework for distributed multimedia stream mining systems...
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ICASSP
2009
IEEE
13 years 11 months ago
A framework for distributed multimedia stream mining systems using coalition-based foresighted strategies
In this paper, we propose a distributed solution to the problem of configuring classifier trees in distributed stream mining systems. The configuration involves selecting appro...
Hyunggon Park, Deepak S. Turaga, Olivier Verscheur...
ICASSP
2008
IEEE
13 years 11 months ago
A game theoretic framework for incentive-based peer-to-peer live-streaming social networks
Multimedia social network analysis is an emerging research area, which analyzes the behavior of users who share multimedia content and investigates the impact of human dynamics on...
W. Sabrina Lin, H. Vicky Zhao, K. J. Ray Liu
KDD
2010
ACM
289views Data Mining» more  KDD 2010»
13 years 2 months ago
Exploitation and exploration in a performance based contextual advertising system
The dynamic marketplace in online advertising calls for ranking systems that are optimized to consistently promote and capitalize better performing ads. The streaming nature of on...
Wei Li 0010, Xuerui Wang, Ruofei Zhang, Ying Cui, ...
KDD
2002
ACM
164views Data Mining» more  KDD 2002»
14 years 5 months ago
Meta-classification: Combining Multimodal Classifiers
Combining multiple classifiers is of particular interest in multimedia applications. Each modality in multimedia data can be analyzed individually, and combining multiple pieces of...
Wei-Hao Lin, Alexander G. Hauptmann
KDD
2007
ACM
178views Data Mining» more  KDD 2007»
14 years 5 months ago
Practical learning from one-sided feedback
In many data mining applications, online labeling feedback is only available for examples which were predicted to belong to the positive class. Such applications include spam filt...
D. Sculley