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» Signal and image approximation with level-set constraints
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PAMI
2006
122views more  PAMI 2006»
13 years 5 months ago
Polarimetric Image Segmentation via Maximum-Likelihood Approximation and Efficient Multiphase Level-Sets
This study investigates a level set method for complex polarimetric image segmentation. It consists of minimizing a functional containing an original observation term derived from ...
Ismail Ben Ayed, Amar Mitiche, Ziad Belhadj
ICA
2010
Springer
13 years 6 months ago
Recovering Spikes from Noisy Neuronal Calcium Signals via Structured Sparse Approximation
Two-photon calcium imaging is an emerging experimental technique that enables the study of information processing within neural circuits in vivo. While the spatial resolution of th...
Eva L. Dyer, Marco F. Duarte, Don H. Johnson, Rich...
MP
2010
172views more  MP 2010»
13 years 4 months ago
Approximation algorithms for homogeneous polynomial optimization with quadratic constraints
In this paper, we consider approximation algorithms for optimizing a generic multi-variate homogeneous polynomial function, subject to homogeneous quadratic constraints. Such opti...
Simai He, Zhening Li, Shuzhong Zhang
ICIP
2006
IEEE
14 years 7 months ago
Variational Unsupervised Segmentation of Multi-Look Complex Polarimetric Images using a Wishart Observation Model
We address unsupervised variational segmentation ofmulti-look complex polarimetric images using a Wishart observation model via level sets. The methods consists of minimizing a fu...
Ismail Ben Ayed, Amar Mitiche, Ziad Belhadj