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AI
2009
Springer
14 years 3 months ago
An Iterative Hybrid Filter-Wrapper Approach to Feature Selection for Document Clustering
The manipulation of large-scale document data sets often involves the processing of a wealth of features that correspond with the available terms in the document space. The employm...
Mohammad-Amin Jashki, Majid Makki, Ebrahim Bagheri...
ICMCS
2006
IEEE
161views Multimedia» more  ICMCS 2006»
14 years 3 months ago
Improved Similarity-Based Online Feature Selection in Region-Based Image Retrieval
To bridge the gap between high level semantic concepts and low level visual features in content-based image retrieval (CBIR), online feature selection is really required. An effec...
Fei Li, Qionghai Dai, Wenli Xu
DAGM
2004
Springer
14 years 2 months ago
Adaptive Feature Selection in Image Segmentation
Most image segmentation algorithms optimize some mathematical similarity criterion derived from several low-level image features. One possible way of combining different types of f...
Volker Roth, Tilman Lange
LREC
2008
140views Education» more  LREC 2008»
13 years 10 months ago
Toward Active Learning in Data Selection: Automatic Discovery of Language Features During Elicitation
Data Selection has emerged as a common issue in language technologies. We define Data Selection as the choosing of a subset of training data that is most effective for a given tas...
Jonathan Clark, Robert E. Frederking, Lori S. Levi...
SEBD
2008
177views Database» more  SEBD 2008»
13 years 10 months ago
Using PageRank in Feature Selection
Abstract. Feature selection is an important task in data mining because it allows to reduce the data dimensionality and eliminates the noisy variables. Traditionally, feature selec...
Dino Ienco, Rosa Meo, Marco Botta