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» Robustness and modular structure in networks
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91
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ICMCS
2005
IEEE
173views Multimedia» more  ICMCS 2005»
15 years 3 months ago
A Multi-Modal Mixed-State Dynamic Bayesian Network for Robust Meeting Event Recognition from Disturbed Data
In this work we present a novel multi-modal mixed-state dynamic Bayesian network (DBN) for robust meeting event classification. The model uses information from lapel microphones,...
Marc Al-Hames, Gerhard Rigoll
IEEEARES
2006
IEEE
15 years 3 months ago
Evaluation of Network Robustness for Given Defense Resource Allocation Strategies
Since the 9/11 terrorist attacks, the effective and efficient protection of critical information infrastructures has become an even more important issue. To enhance network surviv...
Y.-S. Lin, P.-H. Tsang, C.-H. Chen, C.-L. Tseng, Y...
IJBRA
2010
134views more  IJBRA 2010»
14 years 8 months ago
Deterministic graph-theoretic algorithm for detecting modules in biological interaction networks
—Accumulating evidence suggests that biological systems exhibit modular organization. Accurate identification of modularity is vital for understanding this organization. A recen...
Roger L. Chang, Feng Luo, Stuart Johnson, Richard ...
BICOB
2009
Springer
15 years 4 months ago
Graph Spectral Approach for Identifying Protein Domains
Here we present a simple method based on graph spectral properties to automatically partition multi-domain proteins into individual domains. The identification of structural domain...
Hari Krishna Yalamanchili, Nita Parekh
67
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BMCBI
2007
115views more  BMCBI 2007»
14 years 9 months ago
How accurate and statistically robust are catalytic site predictions based on closeness centrality?
Background: We examine the accuracy of enzyme catalytic residue predictions from a network representation of protein structure. In this model, amino acid α-carbons specify vertic...
Eric Chea, Dennis R. Livesay