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ICASSP
2011
IEEE
14 years 10 months ago
Bayesian framework and message passing for joint support and signal recovery of approximately sparse signals
In this paper, we develop a low-complexity message passing algorithm for joint support and signal recovery of approximately sparse signals. The problem of recovery of strictly spa...
Shubha Shedthikere, Ananthanarayanan Chockalingam
ICASSP
2009
IEEE
16 years 1 months ago
Combining VTS model compensation and support vector machines
It is difficult to adapt discriminative classifiers, particularly kernel based ones such as support vector machines (SVMs), to handle mismatches between the training and test da...
Mark J. F. Gales, Federico Flego
AIMS
2008
Springer
16 years 27 days ago
An Architecture for Supporting Network Fault Recovery Management
Highly available and resilient networks play a decisive role in today’s networked world. As network faults are inevitable and networks are becoming constantly intricate, finding...
Feng Liu, Antonis M. Hadjiantonis, Ha Manh Tran, M...
ICASSP
2007
IEEE
16 years 27 days ago
A Self-Training Semi-Supervised Support Vector Machine Algorithm and its Applications in Brain Computer Interface
In this paper, we analyze the convergence of an iterative selftraining semi-supervised support vector machine (SVM) algorithm, which is designed for classi cation in small trainin...
Yuanqing Li, Huiqi Li, Cuntai Guan, Zhengyang Chin
ICALT
2003
IEEE
15 years 12 months ago
An Instructional Framework Supporting Personalized Learning on the Web
In this paper an instructional framework is proposed for supporting personalised learning in the context of webbased adaptive educational hypermedia systems. A learning-focused ap...
Kyparisia A. Papanikolaou, Maria Grigoriadou