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» Improved Adomian decomposition method
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ICIP
2009
IEEE
13 years 5 months ago
Component-based image coding using non-local means filtering and an autoregressive texture model
While noise is usually regarded as a problem of the image formation process, we observe that it is also frequently part of natural texture. In this paper, we present a concept for...
Johannes Ballé, Bastian Jurczyk, Aleksandar...
SIAMMAX
2011
157views more  SIAMMAX 2011»
12 years 10 months ago
Deflated Restarting for Matrix Functions
We investigate an acceleration technique for restarted Krylov subspace methods for computing the action of a function of a large sparse matrix on a vector. Its effect is to ultima...
Michael Eiermann, Oliver G. Ernst, Stefan Güt...
BMCBI
2008
138views more  BMCBI 2008»
13 years 7 months ago
Methods for simultaneously identifying coherent local clusters with smooth global patterns in gene expression profiles
Background: The hierarchical clustering tree (HCT) with a dendrogram [1] and the singular value decomposition (SVD) with a dimension-reduced representative map [2] are popular met...
Yin-Jing Tien, Yun-Shien Lee, Han-Ming Wu, Chun-Ho...
BMCBI
2008
95views more  BMCBI 2008»
13 years 7 months ago
Unsupervised reduction of random noise in complex data by a row-specific, sorted principal component-guided method
Background: Large biological data sets, such as expression profiles, benefit from reduction of random noise. Principal component (PC) analysis has been used for this purpose, but ...
Joseph W. Foley, Fumiaki Katagiri
BMCBI
2007
135views more  BMCBI 2007»
13 years 7 months ago
LIMPIC: a computational method for the separation of protein MALDI-TOF-MS signals from noise
Background: Mass spectrometry protein profiling is a promising tool for biomarker discovery in clinical proteomics. However, the development of a reliable approach for the separat...
Dante Mantini, Francesca Petrucci, Damiana Pierago...