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KDD
2008
ACM
209views Data Mining» more  KDD 2008»
14 years 9 months ago
Combinational collaborative filtering for personalized community recommendation
Rapid growth in the amount of data available on social networking sites has made information retrieval increasingly challenging for users. In this paper, we propose a collaborativ...
WenYen Chen, Dong Zhang, Edward Y. Chang
CEAS
2008
Springer
13 years 10 months ago
Personalized Spam Filtering for Gray Mail
Gray mail, messages that could reasonably be considered either spam or good by different email users, is a commonly observed issue in production spam filtering systems. In this pa...
Ming-Wei Chang, Scott Yih, Robert McCann
ICRA
2007
IEEE
178views Robotics» more  ICRA 2007»
14 years 2 months ago
Distributed Cooperative Active Sensing Using Consensus Filters
— We consider the problem of multiple mobile sensor agents tracking the position of one or more moving targets. In our formulation, each agent maintains a target estimate, and ea...
Peng Yang, Randy A. Freeman, Kevin M. Lynch
ISCAS
2006
IEEE
96views Hardware» more  ISCAS 2006»
14 years 2 months ago
Frame-level data reuse for motion-compensated temporal filtering
— Motion-compensated temporal filtering (MCTF) is an open-loop prediction scheme, so the frame-level data reuse for MCTF is possible. In this paper, we propose two general frame...
Ching-Yeh Chen, Yi-Hau Chen, Chih-Chi Cheng, Liang...
IJCAI
2003
13 years 10 months ago
Collaborative Filtering Using Associative Neural Memory
There are two types of collaborative filtering (CF) systems, user-based and item-based. This paper introduces an item-based CF system for ranking derived from Linear Associative ...
Chuck P. Lam