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» Input Modeling Using Quantile Statistical Methods
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93
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IJCNN
2000
IEEE
15 years 5 months ago
An Incremental Growing Neural Network and its Application to Robot Control
This paper describes a novel network model, which is able to control its growth on the basis of the approximation requests. Two classes of self-tuning neural models are considered...
A. Carlevarino, R. Martinotti, Giorgio Metta, Giul...
116
Voted
ISVC
2009
Springer
15 years 7 months ago
Cartoon Animation Style Rendering of Water
We present a cartoon animation style rendering method for water animation. In an effort to capture and represent crucial features of water observed in traditional cartoon animatio...
Mi You, Jinho Park, Byungkuk Choi, Jun-yong Noh
106
Voted
CVPR
2007
IEEE
16 years 2 months ago
Precise Registration of 3D Models To Images by Swarming Particles
The precise alignment of a 3D model to 2D sensor images to recover the pose of an object in a scene is an important topic in computer vision. In this work, we outline a registrati...
Joerg Liebelt, Klaus Schertler
99
Voted
CHI
2002
ACM
16 years 29 days ago
Movement model, hits distribution and learning in virtual keyboarding
In a ten-session experiment, six participants practiced typing with an expanding rehearsal method on an optimized virtual keyboard. Based on a large amount of in-situ performance ...
Shumin Zhai, Alison E. Sue, Johnny Accot
110
Voted
FOSSACS
2009
Springer
15 years 7 months ago
On Global Model Checking Trees Generated by Higher-Order Recursion Schemes
Higher-order recursion schemes are systems of rewrite rules on typed non-terminal symbols, which can be used to define infinite trees. The Global Modal Mu-Calculus Model Checking...
Christopher Broadbent, C.-H. Luke Ong