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CPHYSICS
2006
204views more  CPHYSICS 2006»
14 years 10 months ago
Genetically controlled random search: a global optimization method for continuous multidimensional functions
A new stochastic method for locating the global minimum of a multidimensional function inside a rectangular hyperbox is presented. A sampling technique is employed that makes use ...
Ioannis G. Tsoulos, Isaac E. Lagaris
SCALESPACE
2009
Springer
15 years 4 months ago
Momentum Based Optimization Methods for Level Set Segmentation
Abstract. Segmentation of images is often posed as a variational problem. As such, it is solved by formulating an energy functional depending on a contour and other image derived t...
Gunnar Läthén, Thord Andersson, Reiner...
CVPR
2009
IEEE
16 years 5 months ago
Projective Least-Squares: Global Solutions with Local Optimization
Recent work in multiple view geometry has focused on obtaining globally optimal solutions at the price of computational time efciency. On the other hand, traditional bundle adj...
Carl Olsson, Fredrik Kahl, Richard I. Hartley
CORR
2007
Springer
167views Education» more  CORR 2007»
14 years 10 months ago
Optimal Solutions for Sparse Principal Component Analysis
Given a sample covariance matrix, we examine the problem of maximizing the variance explained by a linear combination of the input variables while constraining the number of nonze...
Alexandre d'Aspremont, Francis R. Bach, Laurent El...
VLDB
2005
ACM
109views Database» more  VLDB 2005»
15 years 10 months ago
Model-based approximate querying in sensor networks
Abstract Declarative queries are proving to be an attractive paradigm for interacting with networks of wireless sensors. The metaphor that "the sensornet is a database" i...
Amol Deshpande, Carlos Guestrin, Samuel Madden, Jo...