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» Unsupervised feature extraction using neuro-fuzzy approach
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TAL
2010
Springer
13 years 5 months ago
Summarization as Feature Selection for Document Categorization on Small Datasets
Abstract. Most common feature selection techniques for document categorization are supervised and require lots of training data in order to accurately capture the descriptive and d...
Emmanuel Anguiano-Hernández, Luis Villase&n...
EMNLP
2010
13 years 5 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
COLING
2008
13 years 8 months ago
Unsupervised Induction of Labeled Parse Trees by Clustering with Syntactic Features
We present an algorithm for unsupervised induction of labeled parse trees. The algorithm has three stages: bracketing, initial labeling, and label clustering. Bracketing is done f...
Roi Reichart, Ari Rappoport
ICPR
2006
IEEE
14 years 1 months ago
Fast Feature Extraction Approach for Multi-Dimension Feature Space Problems
Recently, we proposed a fast feature extraction approach denoted FSOM utilizes Self Organizing Map (SOM). FSOM [1] overcomes the slowness of traditional SOM search algorithm. We i...
Alaa El. Sagheer, Naoyuki Tsuruta, Rin-ichiro Tani...
CVPR
2012
IEEE
11 years 9 months ago
Fixed-rank representation for unsupervised visual learning
Subspace clustering and feature extraction are two of the most commonly used unsupervised learning techniques in computer vision and pattern recognition. State-of-theart technique...
Risheng Liu, Zhouchen Lin, Fernando De la Torre, Z...