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» Reformulating Constraint Models Using Input Data
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VISUALIZATION
1998
IEEE
15 years 7 months ago
Interpolation of triangle hierarchies
We consider interpolation between keyframe hierarchies. We impose a set of weak constraints that allows smooth interpolation between two keyframe hierarchies in an animation or, m...
Axel Friedrich, Konrad Polthier, Markus Schmies
NIPS
1997
15 years 4 months ago
Learning Generative Models with the Up-Propagation Algorithm
Up-propagation is an algorithm for inverting and learning neural network generative models. Sensory input is processed by inverting a model that generates patterns from hidden var...
Jong-Hoon Oh, H. Sebastian Seung
ACMACE
2009
ACM
15 years 9 months ago
Towards tailoring player experience in physical Wii games: a case study on relaxation
In this study we construct an artificial neural network model of players’ relaxation preferences while playing a physical Wii game. Developed technology will assist game designe...
Patrick Jarnfelt, Sebbe Selvig, Dajana Dimovska
MCS
2002
Springer
15 years 2 months ago
Forward and Backward Selection in Regression Hybrid Network
Abstract. We introduce a Forward Backward and Model Selection algorithm (FBMS) for constructing a hybrid regression network of radial and perceptron hidden units. The algorithm det...
Shimon Cohen, Nathan Intrator
BNCOD
2003
127views Database» more  BNCOD 2003»
15 years 4 months ago
Performance Evaluation and Analysis of K-Way Join Variants for Association Rule Mining
Data mining aims at discovering important and previously unknown patterns from the dataset in the underlying database. Database mining performs mining directly on data stored in r...
P. Mishra, Sharma Chakravarthy