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TIP
1998
162views more  TIP 1998»
15 years 6 months ago
Variational image segmentation using boundary functions
Abstract—A general variational framework for image approximation and segmentation is introduced. By using a continuous “line-process” to represent edge boundaries, it is poss...
Gary A. Hewer, Charles S. Kenney, B. S. Manjunath
ECCV
2002
Springer
16 years 8 months ago
What Energy Functions Can Be Minimized via Graph Cuts?
In the last few years, several new algorithms based on graph cuts have been developed to solve energy minimization problems in computer vision. Each of these techniques constructs...
Vladimir Kolmogorov, Ramin Zabih
ATAL
2008
Springer
15 years 8 months ago
Transfer of task representation in reinforcement learning using policy-based proto-value functions
Reinforcement Learning research is traditionally devoted to solve single-task problems. Therefore, anytime a new task is faced, learning must be restarted from scratch. Recently, ...
Eliseo Ferrante, Alessandro Lazaric, Marcello Rest...
SCAI
1997
15 years 7 months ago
On the Well-Behavedness of Important Attribute Evaluation Functions
The class of well-behaved evaluation functions simplifies and makes efficient the handling of numerical attributes; for them it suffices to concentrate on the boundary points in...
Tapio Elomaa, Juho Rousu
ARITH
2007
IEEE
15 years 10 months ago
Return of the hardware floating-point elementary function
The study of specific hardware circuits for the evaluation of floating-point elementary functions was once an active research area, until it was realized that these functions were...
Jérémie Detrey, Florent de Dinechin,...