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ESANN
2006
13 years 6 months ago
Random Forests Feature Selection with K-PLS: Detecting Ischemia from Magnetocardiograms
Random Forests were introduced by Breiman for feature (variable) selection and improved predictions for decision tree models. The resulting model is often superior to AdaBoost and ...
Long Han, Mark J. Embrechts, Boleslaw K. Szymanski...
ECCV
2010
Springer
13 years 5 months ago
Efficient Computation of Scale-Space Features for Deformable Shape Correspondences
Abstract. With the rapid development of fast data acquisition techniques, 3D scans that record the geometric and photometric information of deformable objects are routinely acquire...
Tingbo Hou, Hong Qin
BMCBI
2006
137views more  BMCBI 2006»
13 years 5 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...
IJRR
2007
104views more  IJRR 2007»
13 years 5 months ago
Deep Space Formation Flying Spacecraft Path Planning
Efficient algorithms for collision-free energy sub-optimal path planning for formations of spacecraft flying in deep space are presented. The idea is to introduce a set of way-poi...
Cornel Sultan, Sanjeev Seereeram, Raman K. Mehra
TITB
2002
172views more  TITB 2002»
13 years 5 months ago
Shape recovery algorithms using level sets in 2-D/3-D medical imagery: a state-of-the-art review
The class of geometric deformable models, also known as level sets, has brought tremendous impact to medical imagery due to its capability of topology preservation and fast shape r...
Jasjit S. Suri, Kecheng Liu, Sameer Singh, Swamy L...