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» Modeling non-gaussian noise for robust image analysis
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ICAPR
2001
Springer
15 years 10 months ago
Character Extraction from Interfering Background - Analysis of Double-Sided Handwritten Archival Documents
The sipping of ink through the pages of certain double-sided handwritten documents after long periods of storage poses a serious problem to human readers or OCR systems. This pape...
Chew Lim Tan, Ruini Cao, Qian Wang, Peiyi Shen
NN
2000
Springer
159views Neural Networks» more  NN 2000»
15 years 6 months ago
Independent component analysis for noisy data -- MEG data analysis
ICA (independent component analysis) is a new, simple and powerful idea for analyzing multi-variant data. One of the successful applications is neurobiological data analysis such ...
Shiro Ikeda, Keisuke Toyama
IBPRIA
2005
Springer
15 years 12 months ago
From Moving Edges to Moving Regions
In this paper, we propose a new method to extract moving objects from a video stream without any motion estimation. The objective is to obtain a method robust to noise, large motio...
Loic Biancardini, Eva Dokladalova, Serge Beucher, ...
ICIP
2009
IEEE
16 years 7 months ago
Tongue Tracking In Ultrasound Images With Active Appearance Models
Tongue Ultrasound imaging is widely used for human speech production analysis and modeling. In this paper, we propose a novel method to automatically detect and track the tongue c...
ICIP
2008
IEEE
16 years 8 months ago
Robust brain activation detection in functional MRI
Functional Magnetic Resonance Imaging (MRI) is today one of the most important non-invasive tools to study the brain from a functional point of view. The blood-oxygenation-level-d...
David M. Afonso, João M. Sanches, Martin H....