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GECCO
2006
Springer
154views Optimization» more  GECCO 2006»
13 years 9 months ago
Emergent mating topologies in spatially structured genetic algorithms
The application of network analysis to emergent mating topologies in spatially structured genetic algorithms is presented in this preliminary study as a framework for inferring ev...
Joshua L. Payne, Margaret J. Eppstein
CHI
2011
ACM
12 years 9 months ago
Apolo: making sense of large network data by combining rich user interaction and machine learning
Extracting useful knowledge from large network datasets has become a fundamental challenge in many domains, from scientific literature to social networks and the web. We introduc...
Duen Horng Chau, Aniket Kittur, Jason I. Hong, Chr...
AND
2009
13 years 3 months ago
Tools for monitoring, visualizing, and refining collections of noisy documents
Developing better systems for document image analysis requires understanding errors, their sources, and their effects. The interactions between various processing steps are comple...
Daniel P. Lopresti, George Nagy
CVPR
2012
IEEE
11 years 8 months ago
Semantic structure from motion with points, regions, and objects
Structure from motion (SFM) aims at jointly recovering the structure of a scene as a collection of 3D points and estimating the camera poses from a number of input images. In this...
Sid Ying-Ze Bao, Mohit Bagra, Yu-Wei Chao, Silvio ...
CORR
2010
Springer
127views Education» more  CORR 2010»
13 years 4 months ago
Learning Networks of Stochastic Differential Equations
We consider linear models for stochastic dynamics. To any such model can be associated a network (namely a directed graph) describing which degrees of freedom interact under the d...
José Bento, Morteza Ibrahimi, Andrea Montan...