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» A selective sampling approach to active feature selection
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MIR
2006
ACM
145views Multimedia» more  MIR 2006»
15 years 4 months ago
Similarity learning via dissimilarity space in CBIR
In this paper, we introduce a new approach to learn dissimilarity for interactive search in content based image retrieval. In literature, dissimilarity is often learned via the fe...
Giang P. Nguyen, Marcel Worring, Arnold W. M. Smeu...
CSB
2005
IEEE
126views Bioinformatics» more  CSB 2005»
15 years 3 months ago
Identifying Simple Discriminatory Gene Vectors with an Information Theory Approach
In the feature selection of cancer classification problems, many existing methods consider genes individually by choosing the top genes which have the most significant signal-to...
Zheng Yun, Kwoh Chee Keong
ICC
2007
IEEE
141views Communications» more  ICC 2007»
15 years 4 months ago
Accurate Classification of the Internet Traffic Based on the SVM Method
—The need to quickly and accurately classify Internet traffic for security and QoS control has been increasing significantly with the growing Internet traffic and applications ov...
Zhu Li, Ruixi Yuan, Xiaohong Guan
NECO
2008
112views more  NECO 2008»
14 years 10 months ago
Second-Order SMO Improves SVM Online and Active Learning
Iterative learning algorithms that approximate the solution of support vector machines (SVMs) have two potential advantages. First, they allow for online and active learning. Seco...
Tobias Glasmachers, Christian Igel
DGCI
2008
Springer
14 years 11 months ago
Selection of Local Thresholds for Tomogram Segmentation by Projection Distance Minimization
Abstract. Segmentation is an important step to obtain quantitative information from tomographic data sets. To this end, global thresholding is often used in practice. However, it i...
Kees Joost Batenburg, Jan Sijbers