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ICASSP
2011
IEEE
12 years 8 months ago
Stochastic behavior analysis of the Gaussian Kernel Least Mean Square algorithm
Like its linear counterpart, the Kernel Least Mean Square (KLMS) algorithm is also becoming popular in nonlinear adaptive filtering due to its simplicity and robustness. The “k...
Wemerson D. Parreira, José Carlos M. Bermud...
ICML
2006
IEEE
14 years 5 months ago
Kernel Predictive Linear Gaussian models for nonlinear stochastic dynamical systems
The recent Predictive Linear Gaussian model (or PLG) improves upon traditional linear dynamical system models by using a predictive representation of state, which makes consistent...
David Wingate, Satinder P. Singh
TSP
2008
121views more  TSP 2008»
13 years 4 months ago
Stochastic Analysis of the LMS Algorithm for System Identification With Subspace Inputs
This paper studies the behavior of the low-rank least mean squares (LMS) adaptive algorithm for the general case in which the input transformation may not capture the exact input s...
Neil J. Bershad, José Carlos M. Bermudez, J...
TSP
2008
109views more  TSP 2008»
13 years 4 months ago
An Affine Combination of Two LMS Adaptive Filters - Transient Mean-Square Analysis
This paper studies the statistical behavior of an affine combination of the outputs of two least mean-square (LMS) adaptive filters that simultaneously adapt using the same white G...
Neil J. Bershad, José Carlos M. Bermudez, J...
CVPR
2009
IEEE
14 years 11 months ago
Stochastic Gradient Kernel Density Mode-Seeking
As a well known fixed-point iteration algorithm for kernel density mode-seeking, Mean-Shift has attracted wide attention in pattern recognition field. To date, Mean-Shift algorit...
Xiaotong Yuan, Stan Z. Li