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» Handling Sparse Data by Successive Abstraction
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ICDM
2009
IEEE
198views Data Mining» more  ICDM 2009»
14 years 4 months ago
Information Extraction for Clinical Data Mining: A Mammography Case Study
Abstract—Breast cancer is the leading cause of cancer mortality in women between the ages of 15 and 54. During mammography screening, radiologists use a strict lexicon (BI-RADS) ...
Houssam Nassif, Ryan Woods, Elizabeth S. Burnside,...
TIP
2002
102views more  TIP 2002»
13 years 9 months ago
Multilayered image representation: application to image compression
Abstract--The main contribution of this work is a new paradigm for image representation and image compression. We describe a new multilayered representation technique for images. A...
François G. Meyer, Amir Averbuch, Ronald R....
ICAISC
2004
Springer
14 years 3 months ago
Relevance LVQ versus SVM
Abstract. The support vector machine (SVM) constitutes one of the most successful current learning algorithms with excellent classification accuracy in large real-life problems an...
Barbara Hammer, Marc Strickert, Thomas Villmann
BIBE
2007
IEEE
114views Bioinformatics» more  BIBE 2007»
14 years 4 months ago
A Hierarchical Grow-and-Match Algorithm for Backbone Resonance Assignments Given 3D Structure
Abstract—This paper develops an algorithm for NMR backbone resonance assignment given a 3D structure and a set of relatively sparse 15 N-edited NMR data, with the through-space 1...
Fei Xiong, Chris Bailey-Kellogg
CIKM
1993
Springer
14 years 1 months ago
Collection Oriented Match
match algorithms that can efficiently handleAbstract complex tests in the presence of large amounts of data. Match algorithms that are capable of handling large amounts of On the o...
Anurag Acharya, Milind Tambe