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ICIP
2003
IEEE
16 years 7 months ago
An entropy based segmentation algorithm for computer-generated document images
This paper presents an efficient compression-oriented segmentation algorithm for computer-generated document images. In this algorithm, a document image is represented in a block-...
Lijie Liu, Yan Dong, Xiaomu Song, Guoliang Fan
TMI
2008
138views more  TMI 2008»
15 years 4 months ago
Dynamic Positron Emission Tomography Data-Driven Analysis Using Sparse Bayesian Learning
A method is presented for the analysis of dynamic positron emission tomography (PET) data using sparse Bayesian learning. Parameters are estimated in a compartmental framework usin...
Jyh-Ying Peng, John A. D. Aston, R. N. Gunn, Cheng...
ICASSP
2011
IEEE
14 years 9 months ago
Non-linear noise compensation for robust speech recognition using Gauss-Newton method
In this paper, we present the Gauss-Newton method as a unified approach to optimizing non-linear noise compensation models, such as vector Taylor series (VTS), data-driven parall...
Yong Zhao, Biing-Hwang Juang
IPPS
2006
IEEE
15 years 11 months ago
Simulation of a hybrid model for image denoising
We propose a new model for image denoising which is a hybrid of the total variation model and the Laplacian mean-curvature model. An efficient numerical procedure to compute the h...
Ricolindo Cariño, Ioana Banicescu, H. Lim, ...
DATE
2002
IEEE
97views Hardware» more  DATE 2002»
15 years 10 months ago
Analog IP Testing: Diagnosis and Optimization
In this paper, we present an innovative methodology to estimate and improve the quality of analog and mixed-signal circuit testing. We first detect and reduce the redundancy in th...
Carlo Guardiani, Patrick McNamara, Lidia Daldoss, ...