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» An Adaptive Steganographic Method Using Additive Noise
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ICCV
2007
IEEE
16 years 24 days ago
Fast Automatic Heart Chamber Segmentation from 3D CT Data Using Marginal Space Learning and Steerable Features
Multi-chamber heart segmentation is a prerequisite for global quantification of the cardiac function. The complexity of cardiac anatomy, poor contrast, noise or motion artifacts ...
Yefeng Zheng, Adrian Barbu, Bogdan Georgescu, Mich...
BMCBI
2010
145views more  BMCBI 2010»
15 years 6 months ago
WaveletQuant, an improved quantification software based on wavelet signal threshold de-noising for labeled quantitative proteomi
Background: Quantitative proteomics technologies have been developed to comprehensively identify and quantify proteins in two or more complex samples. Quantitative proteomics base...
Fan Mo, Qun Mo, Yuanyuan Chen, David R. Goodlett, ...
ICA
2010
Springer
15 years 6 months ago
SMALLbox - An Evaluation Framework for Sparse Representations and Dictionary Learning Algorithms
SMALLbox is a new foundational framework for processing signals, using adaptive sparse structured representations. The main aim of SMALLbox is to become a test ground for explorati...
Ivan Damnjanovic, Matthew E. P. Davies, Mark D. Pl...
CVPR
2000
IEEE
15 years 11 months ago
Multiscale Combination of Physically-Based Registration and Deformation Modeling
1 In this paper we present a novel multiscale approach to recovery of nonrigid motion from sequences of registered intensity and range images. The main idea of our approach is that...
Leonid V. Tsap, Dmitry B. Goldgof, Sudeep Sarkar
SSR
2001
104views more  SSR 2001»
15 years 7 months ago
Secure and efficient mobile agent application reuse using patterns
As wide-area open networks like the Internet and intranets grow larger, mobile agent technology is attracting more attention. Mobile agents are units of software that can deal wit...
Yasuyuki Tahara, Nobukazu Toshiba, Akihiko Ohsuga,...