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» A Statistical Shape Model without Using Landmarks
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BMCBI
2006
137views more  BMCBI 2006»
13 years 9 months ago
A maximum likelihood framework for protein design
Background: The aim of protein design is to predict amino-acid sequences compatible with a given target structure. Traditionally envisioned as a purely thermodynamic question, thi...
Claudia L. Kleinman, Nicolas Rodrigue, Céci...
ICPR
2006
IEEE
14 years 10 months ago
A Higher-Order Active Contour Model for Tree Detection
We present a model of a `gas of circles', the ensemble of regions in the image domain consisting of an unknown number of circles with approximately fixed radius and short ran...
Peter Horvath, Ian Jermyn, Zoltan Kato, and Josian...
CGA
2008
13 years 9 months ago
Virtual Inspector: A Flexible Visualizer for Dense 3D Scanned Models
The rapid evolution of automatic shape acquisition technologies will make huge amount of sampled 3D data available in the near future. Cultural Heritage (CH) domain is one of the ...
Marco Callieri, Federico Ponchio, Paolo Cignoni, R...
ISQED
2007
IEEE
152views Hardware» more  ISQED 2007»
14 years 3 months ago
Variation Aware Timing Based Placement Using Fuzzy Programming
In nanometer regime, the effects of variations are having an increasing impact on the delay and power characteristics of devices as well as the yield of the circuit. Statistical t...
Venkataraman Mahalingam, N. Ranganathan
NIPS
2007
13 years 10 months ago
Expectation Maximization and Posterior Constraints
The expectation maximization (EM) algorithm is a widely used maximum likelihood estimation procedure for statistical models when the values of some of the variables in the model a...
João Graça, Kuzman Ganchev, Ben Task...