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» Modelling Smooth Paths Using Gaussian Processes
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ICASSP
2011
IEEE
13 years 2 months ago
Smoothing fir filtering of discrete state-space polynomial signal models
A smoothing finite impulse response (FIR) filter is addressed for discrete time-invariant state-space polynomial models commonly used to model signals over finite data. A gener...
Oscar Gerardo Ibarra-Manzano, Yuriy S. Shmaliy, Lu...
AUTOMATICA
2010
167views more  AUTOMATICA 2010»
13 years 11 months ago
A new kernel-based approach for linear system identification
This paper describes a new kernel-based approach for linear system identification of stable systems. We model the impulse response as the realization of a Gaussian process whose s...
Gianluigi Pillonetto, Giuseppe De Nicolao
ICASSP
2010
IEEE
13 years 11 months ago
Towards multi-speaker unsupervised speech pattern discovery
In this paper, we explore the use of a Gaussian posteriorgram based representation for unsupervised discovery of speech patterns. Compared with our previous work, the new approach...
Yaodong Zhang, James R. Glass
CVPR
2000
IEEE
15 years 29 days ago
A Curve Evolution Approach to Smoothing and Segmentation Using the Mumford-Shah Functional
In this work, we approach the classic Mumford-Shah problem from a curve evolution perspective. In particular, we let a given family of curves define the boundaries between regions...
Andy Tsai, Anthony J. Yezzi, Alan S. Willsky
ICIP
1998
IEEE
14 years 3 months ago
Spatially Adaptive Wavelet Thresholding with Context Modeling for Image Denoising
The method of wavelet thresholding for removing noise, or denoising, has been researched extensively due to its effectiveness and simplicity. Much of the literature has focused on ...
S. Grace Chang, Bin Yu, Martin Vetterli