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ACMACE
2008
ACM
15 years 8 months ago
Real binoculars with virtual functions for mixed environments
Though often desirable, the integration of real and virtual elements in mixed reality environments can be difficult. We propose a number of techniques to facilitate scene explorat...
Andrei Sherstyuk, Kin Lik Wang, Anton Treskunov, J...
CCCG
2010
15 years 7 months ago
Any monotone boolean function can be realized by interlocked polygons
We show how to construct interlocked collections of simple polygons in the plane that fall apart upon removing certain combinations of pieces. Precisely, interiordisjoint simple p...
Erik D. Demaine, Martin L. Demaine, Ryuhei Uehara
FLAIRS
2003
15 years 7 months ago
Learning from Reinforcement and Advice Using Composite Reward Functions
1 Reinforcement learning has become a widely used methodology for creating intelligent agents in a wide range of applications. However, its performance deteriorates in tasks with s...
Vinay N. Papudesi, Manfred Huber
IJHIS
2006
104views more  IJHIS 2006»
15 years 6 months ago
Incremental evolution strategy for function optimization
This paper presents a novel evolutionary approach for function optimization Incremental Evolution Strategy (IES). Two strategies are proposed. One is to evolve the input variables...
Sheng Uei Guan, Wenting Mo
SIAMSC
2008
237views more  SIAMSC 2008»
15 years 6 months ago
A Variational Shape Optimization Approach for Image Segmentation with a Mumford--Shah Functional
We introduce a novel computational method for a Mumford-Shah functional, which decomposes a given image into smooth regions separated by closed curves. Casting this as a shape opti...
Günay Dogan, Pedro Morin, Ricardo H. Nochetto