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CORR
2008
Springer
173views Education» more  CORR 2008»
15 years 2 months ago
Decomposition Principles and Online Learning in Cross-Layer Optimization for Delay-Sensitive Applications
In this paper, we propose a general cross-layer optimization framework in which we explicitly consider both the heterogeneous and dynamically changing characteristics of delay-sens...
Fangwen Fu, Mihaela van der Schaar
160
Voted
CEC
2010
IEEE
14 years 9 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...
221
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TSP
2011
106views more  TSP 2011»
14 years 9 months ago
Distributed Estimation and Coding: A Sequential Framework Based on a Side-Informed Decomposition
Abstract—We propose a sequential framework for the distributed multiple-sensor estimation and coding problem that decomposes the problem into a series of side-informed source cod...
Chao Yu, Gaurav Sharma
105
Voted
ICIP
2003
IEEE
16 years 4 months ago
Towards objective performance analysis for estimation of complex motion: analytic motion modeling, filter optimization, and test
This paper deals with several aspects towards a more objective performance analysis of low-level motion analysis. A generalized spatiotemporal filter formulation and motion modeli...
Bernd Jähne, Christoph S. Garbe
117
Voted
KDD
2007
ACM
159views Data Mining» more  KDD 2007»
16 years 3 months ago
Local decomposition for rare class analysis
Given its importance, the problem of predicting rare classes in large-scale multi-labeled data sets has attracted great attentions in the literature. However, the rare-class probl...
Junjie Wu, Hui Xiong, Peng Wu, Jian Chen