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WEBI
2009
Springer
16 years 1 months ago
Rigorous Probabilistic Trust-Inference with Applications to Clustering
The World Wide Web has transformed into an environment where users both produce and consume information. In order to judge the validity of information, it is important to know how...
Thomas DuBois, Jennifer Golbeck, Aravind Srinivasa...
ICRA
2008
IEEE
191views Robotics» more  ICRA 2008»
16 years 1 months ago
Combining automated on-line segmentation and incremental clustering for whole body motions
Abstract— This paper describes a novel approach for incremental learning of human motion pattern primitives through on-line observation of human motion. The observed motion time ...
Dana Kulic, Wataru Takano, Yoshihiko Nakamura
VTC
2007
IEEE
16 years 1 months ago
Energy-Optimized Low-Complexity Control of Power and Rate in Clustered CDMA Sensor Networks with Multirate Constraints
—In this paper, we propose a low-complexity scheme for minimizing energy consumption in a clustered multirate CDMA sensor network with multiple receive antennas by jointly contro...
Chun-Hung Liu
ICDM
2005
IEEE
168views Data Mining» more  ICDM 2005»
16 years 12 days ago
A Scalable Collaborative Filtering Framework Based on Co-Clustering
Collaborative filtering-based recommender systems, which automatically predict preferred products of a user using known preferences of other users, have become extremely popular ...
Thomas George, Srujana Merugu
WEBI
2004
Springer
16 years 4 days ago
Mining Local Data Sources For Learning Global Cluster Models
— Distributed data mining has recently caught a lot of attention as there are many cases where pooling distributed data for mining is probibited, due to either huge data volume o...
Chak-Man Lam, Xiaofeng Zhang, William Kwok-Wai Che...