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» Supervised Feature Extraction Using Hilbert-Schmidt Norms
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AIRWEB
2008
Springer
15 years 1 months ago
Robust PageRank and locally computable spam detection features
Since the link structure of the web is an important element in ranking systems on search engines, web spammers widely use the link structure of the web to increase the rank of the...
Reid Andersen, Christian Borgs, Jennifer T. Chayes...
ICIP
2009
IEEE
16 years 22 days ago
Segmentation Using The Edge Strength Function As A Shape Prior Within A Local Deformation Model
This paper presents a new image segmentation framework which employs a shape prior in the form of an edge strength function to introduce a higher-level influence on the segmentati...
LPNMR
2001
Springer
15 years 4 months ago
Declarative Information Extraction, Web Crawling, and Recursive Wrapping with Lixto
Lixto is a system and method for the visual and interactive generation of wrappers for Web pages under the supervision of a human developer, for automatically extracting informatio...
Robert Baumgartner, Sergio Flesca, Georg Gottlob
ICPR
2006
IEEE
15 years 5 months ago
An Improved Semi-Supervised Support Vector Machine Based Translation Algorithm for BCI Systems
In this study, we propose an improved semi-supervised support vector machine (SVM) based translation algorithm for brain-computer interface (BCI) systems, aiming at reducing the t...
Jianzhao Qin, Yuanqing Li
IJCAT
2010
133views more  IJCAT 2010»
14 years 10 months ago
A 3D shape classifier with neural network supervision
: The task of 3D shape classification is to assign a set of unordered shapes into pre-tagged classes with class labels, and find the most suitable class for a newly given shape. In...
Zhenbao Liu, Jun Mitani, Yukio Fukui, Seiichi Nish...