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ICASSP
2008
IEEE
14 years 2 months ago
Target detection and identification using canonical correlation analysis and subspace partitioning
We present a data-driven approach for target detection and identification based on a linear mixture model. Our aim is to determine the existence of certain targets in a mixture w...
Wei Wang 0018, Tülay Adali, Darren Emge
ICC
2007
IEEE
108views Communications» more  ICC 2007»
14 years 2 months ago
Subspace Methods for Network Resource Reservation Coding Processes
—This paper presents a mathematical framework for resource reservation in TCP/IP networks by invoking a dynamic system viewpoint on the congestion monitoring processes occurring ...
Alexandru Murgu
ICONIP
2008
13 years 9 months ago
The Diversity of Regression Ensembles Combining Bagging and Random Subspace Method
Abstract. The concept of Ensemble Learning has been shown to increase predictive power over single base learners. Given the bias-variancecovariance decomposition, diversity is char...
Alexandra Scherbart, Tim W. Nattkemper
AUTOMATICA
2006
94views more  AUTOMATICA 2006»
13 years 7 months ago
Subspace identification for FDI in systems with non-uniformly sampled multirate data
This paper proposes a novel subspace approach towards direct identification of a residual model for fault detection and isolation (FDI) in a system with non-uniformly sampled mult...
Weihua Li, Zhengang Han, Sirish L. Shah
AAAI
2011
12 years 7 months ago
Convex Sparse Coding, Subspace Learning, and Semi-Supervised Extensions
Automated feature discovery is a fundamental problem in machine learning. Although classical feature discovery methods do not guarantee optimal solutions in general, it has been r...
Xinhua Zhang, Yaoliang Yu, Martha White, Ruitong H...