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» Large Scale Learning of Active Shape Models
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MIR
2005
ACM
133views Multimedia» more  MIR 2005»
15 years 3 months ago
Probabilistic web image gathering
We propose a new method for automated large scale gathering of Web images relevant to specified concepts. Our main goal is to build a knowledge base associated with as many conce...
Keiji Yanai, Kobus Barnard
ATAL
2008
Springer
14 years 11 months ago
An approach to online optimization of heuristic coordination algorithms
Due to computational intractability, large scale coordination algorithms are necessarily heuristic and hence require tuning for particular environments. In domains where character...
Jumpol Polvichai, Paul Scerri, Michael Lewis
ICMLA
2010
14 years 7 months ago
A Probabilistic Graphical Model of Quantum Systems
Quantum systems are promising candidates of future computing and information processing devices. In a large system, information about the quantum states and processes may be incomp...
Chen-Hsiang Yeang
MICCAI
2003
Springer
15 years 10 months ago
Automated Segmentation of Abdominal Aortic Aneurysms in Multi-spectral MR Images
Abstract. An automated method for segmenting the outer boundary of abdominal aortic aneurysms in MR images is presented. The method is based on the well known Active Shape Models (...
Marleen de Bruijne, Bram van Ginneken, Lambertus W...
ICPP
2006
IEEE
15 years 3 months ago
A Performance Model of the Krak Hydrodynamics Application
We present an analytic performance model of a largescale hydrodynamics code developed at Los Alamos National Laboratory. This modeling work is part of an ongoing effort to develop...
Kevin J. Barker, Scott Pakin, Darren J. Kerbyson