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ICONIP
2008
13 years 10 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
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
AUTOMATICA
2005
82views more  AUTOMATICA 2005»
13 years 8 months ago
Consistency analysis of some closed-loop subspace identification methods
We study statistical consistency of two recently proposed subspace identification algorithms for closed-loop systems. These algorithms een as implementations of an abstract state-...
Alessandro Chiuso, Giorgio Picci
ICIP
2010
IEEE
13 years 6 months ago
A new subspace learning method in Fourier domain for texture classification
This paper proposes a new texture classification approach. There are two main contributions in the proposed method. First, input texture images are transformed to the composite Fo...
Shu Liao, Albert C. S. Chung
ACII
2005
Springer
13 years 10 months ago
A Novel Regularized Fisher Discriminant Method for Face Recognition Based on Subspace and Rank Lifting Scheme
The null space N(St) of total scatter matrix St contains no useful information for pattern classification. So, discarding the null space N(St) results in dimensionality reduction ...
Wen-Sheng Chen, Pong Chi Yuen, Jian Huang, Jian-Hu...