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KDD
2000
ACM
101views Data Mining» more  KDD 2000»
14 years 1 months ago
Incremental quantile estimation for massive tracking
Data--call records, internet packet headers, or other transaction records--are coming down a pipe at a ferocious rate, and we need to monitor statistics of the data. There is no r...
Fei Chen, Diane Lambert, José C. Pinheiro
NIPS
1998
13 years 11 months ago
An Entropic Estimator for Structure Discovery
We introduce a novel framework for simultaneous structure and parameter learning in hidden-variable conditional probability models, based on an entropic prior and a solution for i...
Matthew Brand
ESIAT
2009
IEEE
13 years 7 months ago
Ocean Primary Production in China Shelf Sea Estimated with SeaWiFS and MODIS
Ocean primary production (OPP) is an important indicator of ocean ecological system. The spatial and temporal pattern of OPP is helpful for global climate change study. Remote sens...
Pifu Cong, Limei Qu, Zheng Niu
CEC
2010
IEEE
13 years 4 months ago
Parameter estimation with term-wise decomposition in biochemical network GMA models by hybrid regularized Least Squares-Particle
High-throughput analytical techniques such as nuclear magnetic resonance, protein kinase phosphorylation, and mass spectroscopic methods generate time dense profiles of metabolites...
Prospero C. Naval, Luis G. Sison, Eduardo R. Mendo...
CVPR
1999
IEEE
14 years 11 months ago
Background Estimation and Removal Based on Range and Color
Background estimation and removal based on the joint use of range and color data produces superior results than can be achieved with either data source alone. This is increasingly...
Gaile G. Gordon, Trevor Darrell, Michael Harville,...