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TSP
2008
132views more  TSP 2008»
15 years 6 months ago
Robust Intervention in Probabilistic Boolean Networks
Probabilistic Boolean networks (PBNs) have been recently introduced as a paradigm for modeling genetic regulatory networks. One of the objectives of PBN modeling is to use the netw...
Ranadip Pal, Aniruddha Datta, Edward R. Dougherty
178
Voted
CORR
2010
Springer
237views Education» more  CORR 2010»
15 years 3 months ago
Featureless 2D-3D Pose Estimation by Minimising an Illumination-Invariant Loss
The problem of identifying the 3D pose of a known object from a given 2D image has important applications in Computer Vision ranging from robotic vision to image analysis. Our pro...
Srimal Jayawardena, Marcus Hutter, Nathan Brewer
152
Voted
IJSEKE
2011
141views more  IJSEKE 2011»
14 years 9 months ago
Risk Assessment in Multi-disciplinary (Software+) Engineering Projects
Software systems in safety-critical industrial automation systems, such as power plants and steel mills, become increasingly large, complex, and distributed. For assessing risks, l...
Stefan Biffl, Thomas Moser, Dietmar Winkler
CVPR
2000
IEEE
16 years 8 months ago
Learning from One Example through Shared Densities on Transforms
We define a process called congealing in which elements of a dataset (images) are brought into correspondence with each other jointly, producing a data-defined model. It is based ...
Erik G. Miller, Nicholas E. Matsakis, Paul A. Viol...
135
Voted
IPPS
2003
IEEE
15 years 11 months ago
Expresso and Chips: Creating a Next Generation Microarray Experiment Management System
Expresso is an experiment management system that is designed to assist biologists in planning, executing, and interpreting microarray experiments. It serves as a unifying framewor...
Allan A. Sioson, Jonathan I. Watkinson, Cecilia Va...