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PR
2007
180views more  PR 2007»
13 years 10 months ago
Hybrid image matching combining Hausdorff distance with normalized gradient matching
Image matching has been a central problem in computer vision and image processing for decades. Most of the previous approaches to image matching can be categorized into the intens...
Chyuan-Huei Thomas Yang, Shang-Hong Lai, Long-Wen ...
PRL
2008
356views more  PRL 2008»
13 years 10 months ago
Improving image segmentation by gradient vector flow and mean shift
The classical gradient vector flow (GVF) method suffers from deficiency in the presence of other significant edges adjacent to the real boundary. In this paper, we propose an impr...
Tangwei Liu, Huiyu Zhou, Faquan Lin, Yusheng Pang,...
ICASSP
2011
IEEE
13 years 2 months ago
Regularized split gradient method for nonnegative matrix factorization
This article deals with a regularized version of the split gradient method (SGM), leading to multiplicative algorithms. The proposed algorithm is available for the optimization of...
Henri Lantéri, Céline Theys, C&eacut...
SOSP
1997
ACM
14 years 6 days ago
Flexible Update Propagation for Weakly Consistent Replication
Karin Petersen, Mike Spreitzer, Douglas B. Terry, ...
GECCO
2005
Springer
120views Optimization» more  GECCO 2005»
14 years 4 months ago
Exploiting gradient information in numerical multi--objective evolutionary optimization
Various multi–objective evolutionary algorithms (MOEAs) have obtained promising results on various numerical multi– objective optimization problems. The combination with gradi...
Peter A. N. Bosman, Edwin D. de Jong