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» Unsupervised feature selection using a neuro-fuzzy approach
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KDD
2010
ACM
197views Data Mining» more  KDD 2010»
14 years 9 months ago
Semi-supervised feature selection for graph classification
The problem of graph classification has attracted great interest in the last decade. Current research on graph classification assumes the existence of large amounts of labeled tra...
Xiangnan Kong, Philip S. Yu
EMNLP
2010
14 years 9 months ago
Summarizing Contrastive Viewpoints in Opinionated Text
This paper presents a two-stage approach to summarizing multiple contrastive viewpoints in opinionated text. In the first stage, we use an unsupervised probabilistic approach to m...
Michael Paul, ChengXiang Zhai, Roxana Girju
ECML
2007
Springer
15 years 6 months ago
Stability Based Sparse LSI/PCA: Incorporating Feature Selection in LSI and PCA
The stability of sample based algorithms is a concept commonly used for parameter tuning and validity assessment. In this paper we focus on two well studied algorithms, LSI and PCA...
Dimitrios Mavroeidis, Michalis Vazirgiannis
ICDM
2010
IEEE
228views Data Mining» more  ICDM 2010»
14 years 9 months ago
Multi-label Feature Selection for Graph Classification
Nowadays, the classification of graph data has become an important and active research topic in the last decade, which has a wide variety of real world applications, e.g. drug acti...
Xiangnan Kong, Philip S. Yu
IJCV
1998
238views more  IJCV 1998»
14 years 11 months ago
Feature Detection with Automatic Scale Selection
The fact that objects in the world appear in different ways depending on the scale of observation has important implications if one aims at describing them. It shows that the not...
Tony Lindeberg