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IPMI
2005
Springer
14 years 10 months ago
From Spatial Regularization to Anatomical Priors in fMRI Analysis
In this paper, we study Markov Random Fields as spatial smoothing priors in fMRI detection. Relatively high noise in fMRI images presents a serious challenge for the detection algo...
Wanmei Ou, Polina Golland
ISBI
2006
IEEE
14 years 9 months ago
Analysis of unknown-location signal detectability for regularized tomographic image reconstruction
Our goal is to optimize regularized image reconstruction methods for emission tomography with respect to the task of detecting small lesions of unknown location in the reconstruct...
Anastasia Yendiki, Jeffrey A. Fessler
ICASSP
2009
IEEE
14 years 3 months ago
L1 regularized super-resolution from unregistered omnidirectional images
In this paper, we address the problem of super-resolution from multiple low-resolution omnidirectional images with inexact registration. Such a problem is typically encountered in...
Zafer Arican, Pascal Frossard
MCS
2009
Springer
14 years 1 months ago
Regularized Linear Models in Stacked Generalization
Abstract. Stacked generalization is a flexible method for multiple classifier combination; however, it tends to overfit unless the combiner function is sufficiently smooth. Prev...
Samuel Robert Reid, Gregory Z. Grudic
ACCV
2006
Springer
14 years 24 days ago
Double Regularized Bayesian Estimation for Blur Identification in Video Sequences
Blind blur identification in video sequences becomes more important. This paper presents a new method for identifying parameters of different blur kernels and image restoration in ...
Hongwei Zheng, Olaf Hellwich