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» Using Clustering Methods for Discovering Event Structures
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CVPR
2006
IEEE
16 years 4 months ago
Spectral Methods for Automatic Multiscale Data Clustering
Spectral clustering is a simple yet powerful method for finding structure in data using spectral properties of an associated pairwise similarity matrix. This paper provides new in...
Arik Azran, Zoubin Ghahramani
CORR
2006
Springer
113views Education» more  CORR 2006»
15 years 2 months ago
Language, logic and ontology: uncovering the structure of commonsense knowledge
The purpose of this paper is twofold: (i) we argue that the structure of commonsense knowledge must be discovered, rather than invented; and (ii) we argue that natural language, w...
Walid S. Saba
BMCBI
2006
101views more  BMCBI 2006»
15 years 2 months ago
Local protein structure prediction using discriminative models
Background: In recent years protein structure prediction methods using local structure information have shown promising improvements. The quality of new fold predictions has risen...
Oliver Sander, Ingolf Sommer, Thomas Lengauer
117
Voted
BMCBI
2008
149views more  BMCBI 2008»
15 years 2 months ago
Clustering of cognate proteins among distinct proteomes derived from multiple links to a single seed sequence
Background: Modern proteomes evolved by modification of pre-existing ones. It is extremely important to comparative biology that related proteins be identified as members of the s...
Adriano Barbosa-Silva, Venkata P. Satagopam, Reinh...
133
Voted
ICPADS
2006
IEEE
15 years 8 months ago
Flexible, Low-overhead Event Logging to Support Resource Scheduling
Flexible resource management and scheduling policies require detailed system-state information. Traditional, monolithic operating systems with a centralized kernel derive the requ...
Jan Stoess, Volkmar Uhlig