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» An adaptive penalized maximum likelihood algorithm
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118
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DICTA
2003
15 years 1 months ago
Adaptive Magnetic Resonance Image Denoising Using Mixture Model and Wavelet Shrinkage
Abstract. This paper proposes a new adaptive wavelet-based Magnetic Resonance images denoising algorithm. A Rician distribution for background-noise modelling is introduced and a M...
Lei Jiang, Wenhui Yang
WSCG
2004
245views more  WSCG 2004»
15 years 1 months ago
Pel-Recursive Motion Estimation Using the Expectation-Maximization Technique and Spatial Adaptation
Pel-recursive motion estimation is a well-established approach. However, in the presence of noise, it becomes an ill-posed problem that requires regularization. In this paper, mot...
Vania V. Estrela, Luís A. Rivera, Marcos H....
BMCBI
2010
113views more  BMCBI 2010»
14 years 11 months ago
Unifying generative and discriminative learning principles
Background: The recognition of functional binding sites in genomic DNA remains one of the fundamental challenges of genome research. During the last decades, a plethora of differe...
Jens Keilwagen, Jan Grau, Stefan Posch, Marc Stric...
101
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PCM
2007
Springer
99views Multimedia» more  PCM 2007»
15 years 5 months ago
Signer Adaptation Based on Etyma for Large Vocabulary Chinese Sign Language Recognition
Sign language recognition (SLR) with large vocabulary and signer independency is valuable and is still a big challenge. Signer adaptation is an important solution to signer indepen...
Yu Zhou, Wen Gao, Xilin Chen, Liang-Guo Zhang, Chu...
BMCBI
2010
178views more  BMCBI 2010»
14 years 11 months ago
Selecting high-dimensional mixed graphical models using minimal AIC or BIC forests
Background: Chow and Liu showed that the maximum likelihood tree for multivariate discrete distributions may be found using a maximum weight spanning tree algorithm, for example K...
David Edwards, Gabriel C. G. de Abreu, Rodrigo Lab...