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ICASSP
2011
IEEE
14 years 9 months ago
Multi-graph regularization for efficient delivery of user generated content in online social networks
We present a methodology for enhancing the delivery of usergenerated content in online social networks. To this end, we first regularize the social graph via node capacity and li...
Jacob Chakareski
CIKM
2009
Springer
16 years 18 days ago
L2 norm regularized feature kernel regression for graph data
Features in many real world applications such as Cheminformatics, Bioinformatics and Information Retrieval have complex internal structure. For example, frequent patterns mined fr...
Hongliang Fei, Jun Huan
194
Voted
CIKM
2010
Springer
15 years 3 months ago
Regularization and feature selection for networked features
In the standard formalization of supervised learning problems, a datum is represented as a vector of features without prior knowledge about relationships among features. However, ...
Hongliang Fei, Brian Quanz, Jun Huan
ECCV
1994
Springer
16 years 7 months ago
Parameterfree Information-Preserving Surface Restoration
Abstract. In this paper wepresent an algorithm for parameterfree informationpreserving surface restoration. The algorithm is designed for 2.5D and 3D surfaces. The basic idea is to...
Uwe Weidner
163
Voted
CIKM
2004
Springer
15 years 11 months ago
Hierarchical document categorization with support vector machines
Automatically categorizing documents into pre-defined topic hierarchies or taxonomies is a crucial step in knowledge and content management. Standard machine learning techniques ...
Lijuan Cai, Thomas Hofmann