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» Warped Gaussian Processes
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ICTAI
2005
IEEE
15 years 9 months ago
Latent Process Model for Manifold Learning
In this paper, we propose a novel stochastic framework for unsupervised manifold learning. The latent variables are introduced, and the latent processes are assumed to characteriz...
Gang Wang, Weifeng Su, Xiangye Xiao, Frederick H. ...
ICASSP
2011
IEEE
14 years 8 months ago
Enhanced Poisson sum representation for alpha-stable processes
In this paper we present Poisson sum series representations for α-stable (αS) random variables and α-stable processes, in particular concentrating on continuous-time autoregres...
Tatjana Lemke, Simon J. Godsill
ICASSP
2009
IEEE
15 years 11 months ago
A fast asymptotically efficient algorithm for blind separation of a linear mixture of block-wise stationary autoregressive proce
We propose a novel blind source separation algorithm called Block AutoRegressive Blind Identification (BARBI). The algorithm is asymptotically efficient in separation of instant...
Petr Tichavský, Arie Yeredor, Zbynek Koldov...
ICASSP
2009
IEEE
15 years 8 months ago
Dirichlet process mixture models with multiple modalities
The Dirichlet process can be used as a nonparametric prior for an infinite-dimensional probability mass function on the parameter space of a mixture model. The set of parameters o...
John William Paisley, Lawrence Carin
ISBI
2002
IEEE
16 years 5 months ago
A new high-resolution processing method for the deconvolution of optical coherence tomography signals
We show the feasibility and the potential of a new signal processing algorithm for the high-resolution deconvolution of OCT signals. Our technique relies on the description of the...
Thierry Blu, Herbert Bay, Michael Unser