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» A novel feature selection algorithm for text categorization
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KDD
2003
ACM
195views Data Mining» more  KDD 2003»
14 years 9 months ago
Visualizing changes in the structure of data for exploratory feature selection
Using visualization techniques to explore and understand high-dimensional data is an efficient way to combine human intelligence with the immense brute force computation power ava...
Elias Pampalk, Werner Goebl, Gerhard Widmer
CVPR
2005
IEEE
14 years 10 months ago
Tracking Non-Stationary Appearances and Dynamic Feature Selection
Since the appearance changes of the target jeopardize visual measurements and often lead to tracking failure in practice, trackers need to be adaptive to non-stationary appearance...
Ming Yang, Ying Wu
ICIP
2009
IEEE
13 years 6 months ago
Object tracking by bidirectional learning with feature selection
This paper proposes a new tracking algorithm which combines object and background information, via building object and background appearance models simultaneously by nonparametric...
Heng Wang, Xinwen Hou, Cheng-Lin Liu
KDD
2010
ACM
235views Data Mining» more  KDD 2010»
14 years 21 days ago
Direct mining of discriminative patterns for classifying uncertain data
Classification is one of the most essential tasks in data mining. Unlike other methods, associative classification tries to find all the frequent patterns existing in the input...
Chuancong Gao, Jianyong Wang
TREC
2004
13 years 10 months ago
TREC Novelty Track at IRIT-SIG
In TREC 2004, IRIT modified important features of the strategy that was developed for TREC 2003. Changes include tuning parameter values, topic expansion and exploitation of sente...
Taoufiq Dkaki, Josiane Mothe