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COMPLEXITY
2008
84views more  COMPLEXITY 2008»
15 years 6 months ago
Evolutionary learning of small networks
Results are presented of a simulation which mimics an evolutionary learning process for small networks. Special features of these networks include a high recurrency, a transition ...
Thomas Filk, Albrecht von Müller
ICCV
2005
IEEE
16 years 8 months ago
Shape and Appearance Repair for Incomplete Point Surfaces
This paper presents a new surface content completion framework that can restore both shape and appearance from scanned, incomplete point set inputs. First, the geometric holes can...
Seyoun Park, Xiaohu Guo, Hayong Shin, Hong Qin
CAV
2007
Springer
126views Hardware» more  CAV 2007»
16 years 14 days ago
Shape Analysis for Composite Data Structures
We propose a shape analysis that adapts to some of the complex composite data structures found in industrial systems-level programs. Examples of such data structures include “cyc...
Josh Berdine, Cristiano Calcagno, Byron Cook, Dino...
SIGECOM
2010
ACM
184views ECommerce» more  SIGECOM 2010»
15 years 11 months ago
Computing pure strategy nash equilibria in compact symmetric games
We analyze the complexity of computing pure strategy Nash equilibria (PSNE) in symmetric games with a fixed number of actions. We restrict ourselves to “compact” representati...
Christopher Thomas Ryan, Albert Xin Jiang, Kevin L...
IPPS
1998
IEEE
15 years 10 months ago
Low Memory Cost Dynamic Scheduling of Large Coarse Grain Task Graphs
Schedulinglarge task graphsis an importantissue in parallel computingsince it allowsthe treatment of big size problems. In this paper we tackle the following problem: how to sched...
Michel Cosnard, Emmanuel Jeannot, Laurence Rougeot