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ICDCS
2012
IEEE
13 years 9 months ago
Scaling Down Off-the-Shelf Data Compression: Backwards-Compatible Fine-Grain Mixing
—Pu and Singaravelu presented Fine-Grain Mixing, an adaptive compression system which aimed to maximize CPU and network utilization simultaneously by splitting a network stream i...
Michael Gray, Peter Peterson, Peter L. Reiher
FUZZIEEE
2007
IEEE
16 years 28 days ago
Single Pass Fuzzy C Means
— Recently several algorithms for clustering large data sets or streaming data sets have been proposed. Most of them address the crisp case of clustering, which cannot be easily ...
Prodip Hore, Lawrence O. Hall, Dmitry B. Goldgof
NIPS
2001
15 years 8 months ago
Model Based Population Tracking and Automatic Detection of Distribution Changes
Probabilistic mixture models are used for a broad range of data analysis tasks such as clustering, classification, predictive modeling, etc. Due to their inherent probabilistic na...
Igor V. Cadez, Paul S. Bradley
SIGIR
2005
ACM
16 years 4 days ago
Automatic web query classification using labeled and unlabeled training data
Accurate topical categorization of user queries allows for increased effectiveness, efficiency, and revenue potential in general-purpose web search systems. Such categorization be...
Steven M. Beitzel, Eric C. Jensen, Ophir Frieder, ...
PDPTA
2003
15 years 8 months ago
An Interactive Tuning Support for Processor Allocation of Data-Driven Realtime Programs
This paper presents the effectiveness of an interactive support facility to tune processor allocation of data-driven realtime programs on CUE (Coordinating Users’ requirements an...
Yasuhiro Wabiko, Hiroaki Nishikawa