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» Unsupervised Feature Selection Using Feature Similarity
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TNN
1998
125views more  TNN 1998»
15 years 6 months ago
Symbolic connectionism in natural language disambiguation
Abstract—Natural language understanding involves the simultaneous consideration of a large number of different sources of information. Traditional methods employed in language an...
Samuel W. K. Chan, James Franklin
KDD
2006
ACM
170views Data Mining» more  KDD 2006»
16 years 7 months ago
Computer aided detection via asymmetric cascade of sparse hyperplane classifiers
This paper describes a novel classification method for computer aided detection (CAD) that identifies structures of interest from medical images. CAD problems are challenging larg...
Jinbo Bi, Senthil Periaswamy, Kazunori Okada, Tosh...
ADC
2010
Springer
218views Database» more  ADC 2010»
15 years 1 months ago
Stock risk mining by news
Due to the fast delivery of news articles by news providers on the Internet and/or via news datafeeds, it becomes an important research issue of predicting the risk of stocks by u...
Qi Pan, Hong Cheng, Di Wu, Jeffrey Xu Yu, Yiping K...
TRECVID
2007
15 years 8 months ago
Experimenting VIREO-374: Bag-of-Visual-Words and Visual-Based Ontology for Semantic Video Indexing and search
In this paper, we present our approaches and results of high-level feature extraction and automatic video search in TRECVID-2007. In high-level feature extraction, our main focus ...
Chong-Wah Ngo, Yu-Gang Jiang, Xiao-Yong Wei, Feng ...
TSE
2011
144views more  TSE 2011»
15 years 1 months ago
Genetic Algorithms for Randomized Unit Testing
—Randomized testing is an effective method for testing software units. Thoroughness of randomized unit testing varies widely according to the settings of certain parameters, such...
James H. Andrews, Tim Menzies, Felix Chun Hang Li