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» Large Scale Learning of Active Shape Models
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BMCBI
2007
146views more  BMCBI 2007»
13 years 7 months ago
Spatial location and its relevance for terminological inferences in bio-ontologies
Background: An adequate and expressive ontological representation of biological organisms and their parts requires formal reasoning mechanisms for their relations of physical aggr...
Stefan Schulz, Kornél G. Markó, Udo ...
CN
2007
224views more  CN 2007»
13 years 7 months ago
Automated adaptive intrusion containment in systems of interacting services
Large scale distributed systems typically have interactions among different services that create an avenue for propagation of a failure from one service to another. The failures ...
Yu-Sung Wu, Bingrui Foo, Yu-Chun Mao, Saurabh Bagc...
CVPR
2007
IEEE
14 years 9 months ago
Automatic Face Recognition from Skeletal Remains
The ability to determine the identity of a skull found at a crime scene is of critical importance to the law enforcement community. Traditional clay-based methods attempt to recon...
Carl Adrian, Nils Krahnstoever, Peter H. Tu, Phil ...
CCGRID
2004
IEEE
13 years 11 months ago
DWDM-RAM: a data intensive Grid service architecture enabled by dynamic optical networks
Next generation applications and architectures (for example, Grids) are driving radical changes in the nature of traffic, service models, technology, and cost, creating opportunit...
Tal Lavian, Joe Mambretti, Doug Cutrell, Howard J....
HPDC
2010
IEEE
13 years 8 months ago
Data parallelism in bioinformatics workflows using Hydra
Large scale bioinformatics experiments are usually composed by a set of data flows generated by a chain of activities (programs or services) that may be modeled as scientific work...
Fábio Coutinho, Eduardo S. Ogasawara, Danie...