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» Performance Modelling of the Computational Hardware: A Stati...
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GI
2009
Springer
15 years 11 months ago
Area Preserving Parameterisation of Shapes with Spherical Topology
: Statistical shape models are powerful tools for model-based segmentation and have been sucessfully applied to the segmentation of various structures in medical images. Though the...
Matthias Kirschner, Stefan Wesarg
WIAMIS
2009
IEEE
16 years 1 months ago
Adaptive gesture recognition in Human Computer Interaction
An adaptive, invariant to user performance fluctuation or noisy input signal, gesture recognition scheme is presented based on Self Organizing Maps, Markov Models and Levenshtein...
George Caridakis, Kostas Karpouzis, Athanasios I. ...
ITICSE
2004
ACM
16 years 4 days ago
What do we mean by theoretically sound research in computer science education?
With our interest to improve our education in computer science, an understanding of how students learn about CS concepts, how different concepts are understood, as well as the con...
Mordechai Ben-Ari, Anders Berglund, Shirley Booth,...
IJCNN
2006
IEEE
16 years 23 days ago
Model Selection via Bilevel Optimization
— A key step in many statistical learning methods used in machine learning involves solving a convex optimization problem containing one or more hyper-parameters that must be sel...
Kristin P. Bennett, Jing Hu, Xiaoyun Ji, Gautam Ku...
SIGGRAPH
2000
ACM
15 years 10 months ago
Pose space deformation: a unified approach to shape interpolation and skeleton-driven deformation
Pose space deformation generalizes and improves upon both shape interpolation and common skeleton-driven deformation techniques. This deformation approach proceeds from the observ...
John P. Lewis, Matt Cordner, Nickson Fong