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» Structural Complexity of AvgBPP
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ICIP
2010
IEEE
13 years 7 months ago
Morphological wavelet transform with adaptive dyadic structures
We propose a two component method for denoising multidimensional signals, e.g. images. The first component uses a dynamic programing algorithm of complexity O(N log N) to find an ...
Zhen James Xiang, Peter J. Ramadge
CORR
2011
Springer
168views Education» more  CORR 2011»
13 years 1 months ago
Robustness and modular structure in networks
Many complex systems, from power grids and the internet, to the brain and society, can be modeled using modular networks. Modules, densely interconnected groups of elements, often...
James P. Bagrow, Sune Lehmann, Yong-Yeol Ahn
BMCBI
2004
133views more  BMCBI 2004»
13 years 10 months ago
Evaluation of several lightweight stochastic context-free grammars for RNA secondary structure prediction
Background: RNA secondary structure prediction methods based on probabilistic modeling can be developed using stochastic context-free grammars (SCFGs). Such methods can readily co...
Robin D. Dowell, Sean R. Eddy
NAR
2011
214views Computer Vision» more  NAR 2011»
13 years 27 days ago
IEDB-3D: structural data within the immune epitope database
IEDB-3D is the 3D structural component of the Immune Epitope Database (IEDB) available via the ‘Browse by 3D Structure’ page at http://www.iedb .org. IEDB-3D catalogs B- and T...
Julia V. Ponomarenko, Nikitas Papangelopoulos, Dir...
KDD
2010
ACM
274views Data Mining» more  KDD 2010»
14 years 1 months ago
Grafting-light: fast, incremental feature selection and structure learning of Markov random fields
Feature selection is an important task in order to achieve better generalizability in high dimensional learning, and structure learning of Markov random fields (MRFs) can automat...
Jun Zhu, Ni Lao, Eric P. Xing