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ESANN
2006
13 years 11 months ago
Bayesian source separation: beyond PCA and ICA
Blind source separation (BSS) has become one of the major signal and image processing area in many applications. Principal component analysis (PCA) and Independent component analys...
Ali Mohammad-Djafari
NIPS
2004
13 years 11 months ago
Log-concavity Results on Gaussian Process Methods for Supervised and Unsupervised Learning
Log-concavity is an important property in the context of optimization, Laplace approximation, and sampling; Bayesian methods based on Gaussian process priors have become quite pop...
Liam Paninski
VMV
2001
161views Visualization» more  VMV 2001»
13 years 11 months ago
Regularized Quadrature Filters for Local Frequency Estimation: Application to Multimodal Volume Image Registration
Multimodal image registration is a fundamental problem in medical image analysis. In this paper, we propose a novel algorithm to compute the local frequency representations of the...
Jundong Liu
NIPS
2003
13 years 11 months ago
Ambiguous Model Learning Made Unambiguous with 1/f Priors
What happens to the optimal interpretation of noisy data when there exists more than one equally plausible interpretation of the data? In a Bayesian model-learning framework the a...
Gurinder S. Atwal, William Bialek
NIPS
2003
13 years 11 months ago
From Algorithmic to Subjective Randomness
We explore the phenomena of subjective randomness as a case study in understanding how people discover structure embedded in noise. We present a rational account of randomness per...
Thomas L. Griffiths, Joshua B. Tenenbaum