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149
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KDD
2004
ACM
139views Data Mining» more  KDD 2004»
16 years 3 months ago
Learning a complex metabolomic dataset using random forests and support vector machines
Metabolomics is the omics science of biochemistry. The associated data include the quantitative measurements of all small molecule metabolites in a biological sample. These datase...
Young Truong, Xiaodong Lin, Chris Beecher
CVPR
2009
IEEE
16 years 1 months ago
Markov Chain Monte Carlo Combined with Deterministic Methods for Markov Random Field Optimization
Many vision problems have been formulated as en- ergy minimization problems and there have been signif- icant advances in energy minimization algorithms. The most widely-used energ...
Wonsik Kim (Seoul National University), Kyoung Mu ...
122
Voted
IPSN
2005
Springer
15 years 9 months ago
Design of a wireless sensor network platform for detecting rare, random, and ephemeral events
— We present the design of the eXtreme Scale Mote, a new sensor network platform for reliably detecting and classifying, and quickly reporting, rare, random, and ephemeral events...
Prabal Dutta, Mike Grimmer, Anish Arora, Steven B....
144
Voted
TSMC
2002
119views more  TSMC 2002»
15 years 3 months ago
Nonlinear adaptive control using the Fourier integral and its application to CSTR systems
Abstract--This paper presents a new nonlinear adaptive tracking controller for a class of general time-variant nonlinear systems. The control system consists of an inner loop and a...
Huaguang Zhang, Lilong Cai
INFOCOM
2005
IEEE
15 years 9 months ago
Gossip algorithms: design, analysis and applications
Abstract— Motivated by applications to sensor, peer-topeer and ad hoc networks, we study distributed asynchronous algorithms, also known as gossip algorithms, for computation and...
Stephen P. Boyd, Arpita Ghosh, Balaji Prabhakar, D...