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» Comparing image-based localization methods
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GECCO
2007
Springer
159views Optimization» more  GECCO 2007»
13 years 11 months ago
Uniform sampling of local pareto-optimal solution curves by pareto path following and its applications in multi-objective GA
Although multi-objective GA (MOGA) is an efficient multiobjective optimization (MOO) method, it has some limitations that need to be tackled, which include unguaranteed uniformity...
Ken Harada, Jun Sakuma, Shigenobu Kobayashi, Isao ...
ICIP
2009
IEEE
13 years 5 months ago
Locality preserving constraints for super-resolution with neighbor embedding
In this paper, we revisit the manifold assumption which has been widely adopted in the learning-based image superresolution. The assumption states that point-pairs from the high-r...
Bo Li, Hong Chang, Shiguang Shan, Xilin Chen
ISBI
2007
IEEE
14 years 2 months ago
Localizing Amygdala Structure Differences in Late-life Depression
The amygdala is critical for processing emotional information and plays an important role in late-life depression (LLD). Volumetric studies of the amygdala have been inconclusive ...
Robert J. Tamburo, Greg J. Siegle, George D. Stett...
AAAI
2007
13 years 10 months ago
Online Co-Localization in Indoor Wireless Networks by Dimension Reduction
This paper addresses the problem of recovering the locations of both mobile devices and access points from radio signals that come in a stream manner, a problem which we call onli...
Jeffrey Junfeng Pan, Qiang Yang, Sinno Jialin Pan
CVPR
2010
IEEE
14 years 4 months ago
Gesture Recognition by Learning Local Motion Signatures
This paper overviews a new gesture recognition framework based on learning local motion signatures (LMSs) introduced by [1]. After the generation of these LMSs computed on one i...
Mohamed-Becha Kaaniche, Francois Bremond