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ICCV
2001
IEEE
14 years 10 months ago
Image Segmentation by Data Driven Markov Chain Monte Carlo
?This paper presents a computational paradigm called Data-Driven Markov Chain Monte Carlo (DDMCMC) for image segmentation in the Bayesian statistical framework. The paper contribut...
Zhuowen Tu, Song Chun Zhu, Heung-Yeung Shum
IJSI
2008
115views more  IJSI 2008»
13 years 8 months ago
Towards Knowledge Acquisition from Semi-Structured Content
Abstract A rich family of generic Information Extraction (IE) techniques have been developed by researchers nowadays. This paper proposes WebKER, a system for automatically extract...
Xi Bai, Jigui Sun, Haiyan Che, Lian Shi
ICASSP
2008
IEEE
14 years 3 months ago
Functional semi-automated segmentation of renal DCE-MRI sequences
In dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI), segmentation of internal kidney structures like cortex, medulla and pelvo-caliceal cavities is necessary for fun...
Beatrice Chevaillier, Yannick Ponvianne, Jean-Luc ...
GECCO
2006
Springer
220views Optimization» more  GECCO 2006»
14 years 5 days ago
Comparing evolutionary algorithms on the problem of network inference
In this paper, we address the problem of finding gene regulatory networks from experimental DNA microarray data. We focus on the evaluation of the performance of different evoluti...
Christian Spieth, Rene Worzischek, Felix Streicher...
CCIA
2009
Springer
13 years 9 months ago
Seeking Acronym Definitions: a Web-based Approach
Acronyms are widely used in many domains to abbreviate and stress important concepts. Due to its dynamicity and unbounded nature, manual attempts to compose a global scale reposito...
David Sánchez, David Isern