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» A Bayesian Framework for Sensory Adaptation
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ICIP
2005
IEEE
14 years 9 months ago
An adaptive segmentation-based regularization term for image restoration
This paper proposes an original inhomogeneous restoration (deconvolution) model under the Bayesian framework. In this model, regularization is achieved, during the iterative resto...
Max Mignotte
JSAC
2007
102views more  JSAC 2007»
13 years 7 months ago
A Robust Coded MIMO FH-CDMA Transceiver for Mobile Ad Hoc Networks
Abstract— In this paper, we develop a coded MIMO FHCDMA transceiver that is robust to partial-band jamming and the near-far problem for ad hoc networks with high mobility. Spatia...
Haichang Sui, James R. Zeidler
SP
2006
IEEE
123views Security Privacy» more  SP 2006»
14 years 1 months ago
A Framework for the Evaluation of Intrusion Detection Systems
Classification accuracy in intrusion detection systems (IDSs) deals with such fundamental problems as how to compare two or more IDSs, how to evaluate the performance of an IDS, ...
Alvaro A. Cárdenas, John S. Baras, Karl Sea...
PR
2007
102views more  PR 2007»
13 years 6 months ago
A robust incremental learning framework for accurate skin region segmentation in color images
In this paper, we propose a robust incremental learning framework for accurate skin region segmentation in real-life images. The proposed framework is able to automatically learn ...
Bin Li, Xiangyang Xue, Jianping Fan
MICCAI
2006
Springer
14 years 8 months ago
Spinal Crawlers: Deformable Organisms for Spinal Cord Segmentation and Analysis
Spinal cord analysis is an important problem relating to the study of various neurological diseases. We present a novel approach to spinal cord segmentation in magnetic resonance i...
Chris McIntosh, Ghassan Hamarneh