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KDD
2012
ACM
178views Data Mining» more  KDD 2012»
13 years 5 months ago
Mining emerging patterns by streaming feature selection
Building an accurate emerging pattern classifier with a highdimensional dataset is a challenging issue. The problem becomes even more difficult if the whole feature space is unava...
Kui Yu, Wei Ding 0003, Dan A. Simovici, Xindong Wu
ICMCS
2006
IEEE
143views Multimedia» more  ICMCS 2006»
15 years 8 months ago
Automatic Classification of Photographs and Graphics
In general, digital images can be classified into photographs and computer graphics. This taxonomy is very useful in many applications, such as web image search. However, there ar...
Yuanhao Chen, Zhiwei Li, Mingjing Li, Wei-Ying Ma
136
Voted
ICDM
2010
IEEE
228views Data Mining» more  ICDM 2010»
15 years 15 days 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
123
Voted
3DPVT
2006
IEEE
213views Visualization» more  3DPVT 2006»
15 years 8 months ago
Generalized RANSAC Framework for Relaxed Correspondence Problems
Finding correspondences between two (widely) separated views is essential for several computer vision tasks, such as structure and motion estimation and object recognition. In the...
Wei Zhang, Jana Kosecka
116
Voted
WEBI
2009
Springer
15 years 9 months ago
Rank Aggregation Based Text Feature Selection
Filtering feature selection method (filtering method, for short) is a well-known feature selection strategy in pattern recognition and data mining. Filtering method outperforms ot...
Ou Wu, Haiqiang Zuo, Mingliang Zhu, Weiming Hu, Ju...