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» Fast convergence in evolutionary models: A Lyapunov approach
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CSREAEEE
2006
145views Business» more  CSREAEEE 2006»
13 years 8 months ago
e-Business Systems: Exploring Knowledge Prospect Domains (KPDs)
Research was conducted in the area of sustainable knowledge extraction from e-business systems and technologies. Differentiating approaches from three notable authors in the field...
Daniel Botha
CVPR
2009
IEEE
15 years 1 months ago
Active Volume Models for 3D Medical Image Segmentation
In this paper, we propose a novel predictive model for object boundary, which can integrate information from any sources. The model is a dynamic “object” model whose manifes...
Tian Shen (Lehigh University), Hongsheng Li (Lehig...
SIAMIS
2010
147views more  SIAMIS 2010»
13 years 5 months ago
Augmented Lagrangian Method, Dual Methods, and Split Bregman Iteration for ROF, Vectorial TV, and High Order Models
In image processing, the Rudin-Osher-Fatemi (ROF) model [L. Rudin, S. Osher, and E. Fatemi, Physica D, 60(1992), pp. 259–268] based on total variation (TV) minimization has prove...
Chunlin Wu, Xue-Cheng Tai
IJON
2008
158views more  IJON 2008»
13 years 6 months ago
Blind separation of convolutive image mixtures
Convolutive mixtures of images are common in photography of semi-reflections. They also occur in microscopy and tomography. Their formation process involves focusing on an object ...
Sarit Shwartz, Yoav Y. Schechner, Michael Zibulevs...
LAMAS
2005
Springer
14 years 6 days ago
Multi-agent Relational Reinforcement Learning
In this paper we report on using a relational state space in multi-agent reinforcement learning. There is growing evidence in the Reinforcement Learning research community that a r...
Tom Croonenborghs, Karl Tuyls, Jan Ramon, Maurice ...