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160
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SCIA
2009
Springer
161views Image Analysis» more  SCIA 2009»
15 years 10 months ago
A Fast Optimization Method for Level Set Segmentation
Abstract. Level set methods are a popular way to solve the image segmentation problem in computer image analysis. A contour is implicitly represented by the zero level of a signed ...
Thord Andersson, Gunnar Läthén, Reiner...
106
Voted
ICASSP
2008
IEEE
15 years 10 months ago
Nested support vector machines
The one-class and cost-sensitive support vector machines (SVMs) are state-of-the-art machine learning methods for estimating density level sets and solving weighted classificatio...
Gyemin Lee, Clayton Scott
94
Voted
CIKM
2007
Springer
15 years 10 months ago
Autonomously semantifying wikipedia
Berners-Lee’s compelling vision of a Semantic Web is hindered by a chicken-and-egg problem, which can be best solved by a bootstrapping method — creating enough structured dat...
Fei Wu, Daniel S. Weld
117
Voted
GECCO
2007
Springer
154views Optimization» more  GECCO 2007»
15 years 10 months ago
Cross entropy and adaptive variance scaling in continuous EDA
This paper deals with the adaptive variance scaling issue in continuous Estimation of Distribution Algorithms. A phenomenon is discovered that current adaptive variance scaling me...
Yunpeng Cai, Xiaomin Sun, Hua Xu, Peifa Jia
125
Voted
GFKL
2007
Springer
148views Data Mining» more  GFKL 2007»
15 years 10 months ago
Information Integration of Partially Labeled Data
Abstract. A central task when integrating data from different sources is to detect identical items. For example, price comparison websites have to identify offers for identical p...
Steffen Rendle, Lars Schmidt-Thieme