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CGF
2000
78views more  CGF 2000»
14 years 11 months ago
Using an Intermediate Skeleton and Inverse Kinematics for Motion Retargeting
In this paper, we present a new method for solving the Motion Retargeting Problem, by using an intermediate skeleton. This allows us to convert movements between hierarchically an...
Jean-Sébastien Monzani, Paolo Baerlocher, R...
GECCO
2009
Springer
15 years 4 months ago
Problem decomposition using indirect reciprocity in evolved populations
Evolutionary problem decomposition techniques divide a complex problem into simpler subproblems, evolve individuals to produce subcomponents that solve the subproblems, and then a...
Heather Goldsby, Sherri Goings, Jeff Clune, Charle...
TNN
2010
171views Management» more  TNN 2010»
14 years 6 months ago
Sensitivity versus accuracy in multiclass problems using memetic Pareto evolutionary neural networks
This paper proposes a multiclassification algorithm using multilayer perceptron neural network models. It tries to boost two conflicting main objectives of multiclassifiers: a high...
Juan Carlos Fernández Caballero, Francisco ...
EUROGP
2010
Springer
182views Optimization» more  EUROGP 2010»
15 years 1 months ago
Unsupervised Problem Decomposition Using Genetic Programming
We propose a new framework based on Genetic Programming (GP) to automatically decompose problems into smaller and simpler tasks. The framework uses GP at two levels. At the top lev...
Ahmed Kattan, Alexandros Agapitos, Riccardo Poli
DAC
2001
ACM
16 years 25 days ago
Performance-Driven Multi-Level Clustering with Application to Hierarchical FPGA Mapping
In this paper, we study the problem of performance-driven multi-level circuit clustering with application to hierarchical FPGA designs. We first show that the performance-driven m...
Jason Cong, Michail Romesis