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» Detecting Flaws and Intruders with Visual Data Analysis
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SDM
2009
SIAM
217views Data Mining» more  SDM 2009»
14 years 4 months ago
A Framework for Exploring Categorical Data.
In this paper, we present a framework for categorical data analysis which allows such data sets to be explored using a rich set of techniques that are only applicable to continuou...
Shyam Boriah, Varun Chandola, Vipin Kumar
ECCV
2002
Springer
14 years 9 months ago
A Tale of Two Classifiers: SNoW vs. SVM in Visual Recognition
Numerous statistical learning methods have been developed for visual recognition tasks. Few attempts, however, have been made to address theoretical issues, and in particular, stud...
Ming-Hsuan Yang, Dan Roth, Narendra Ahuja
FIMH
2005
Springer
14 years 28 days ago
Supporting the TECAB Grafting Through CT Based Analysis of Coronary Arteries
Calcified coronary arteries can cause severe cardiac problems and may provoke an infarction of the heart’s wall. An established treatment method is the bypass operation. The usa...
Stefan Wesarg
FSS
2006
86views more  FSS 2006»
13 years 7 months ago
An omission approach for detecting outliers in fuzzy regression models
Since Tanaka et al. in 1982 proposed a study in linear regression with a fuzzy model, fuzzy regression analysis has been widely studied and applied in various areas. However, Tana...
Wen-Liang Hung, Miin-Shen Yang
BMCBI
2007
134views more  BMCBI 2007»
13 years 7 months ago
A framework for significance analysis of gene expression data using dimension reduction methods
Background: The most popular methods for significance analysis on microarray data are well suited to find genes differentially expressed across predefined categories. However, ide...
Lars Halvor Gidskehaug, Endre Anderssen, Arnar Fla...