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» New Algorithms for Statistical Analysis of Interval Data
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CVPR
2007
IEEE
16 years 7 months ago
Optimal Dimensionality Discriminant Analysis and Its Application to Image Recognition
Dimensionality reduction is an important issue when facing high-dimensional data. For supervised dimensionality reduction, Linear Discriminant Analysis (LDA) is one of the most po...
Feiping Nie, Shiming Xiang, Yangqiu Song, Changshu...
SISAP
2009
IEEE
155views Data Mining» more  SISAP 2009»
15 years 11 months ago
Analyzing Metric Space Indexes: What For?
—It has been a long way since the beginnings of metric space searching, where people coming from algorithmics tried to apply their background to this new paradigm, obtaining vari...
Gonzalo Navarro
ICDM
2010
IEEE
108views Data Mining» more  ICDM 2010»
15 years 2 months ago
Assessing Data Mining Results on Matrices with Randomization
Abstract--Randomization is a general technique for evaluating the significance of data analysis results. In randomizationbased significance testing, a result is considered to be in...
Markus Ojala
159
Voted
KDID
2004
140views Database» more  KDID 2004»
15 years 6 months ago
Mining Formal Concepts with a Bounded Number of Exceptions from Transactional Data
We are designing new data mining techniques on boolean contexts to identify a priori interesting bi-sets (i.e., sets of objects or transactions associated to sets of attributes or ...
Jérémy Besson, Céline Robarde...
TVCG
2010
147views more  TVCG 2010»
15 years 3 months ago
"behaviorism": a framework for dynamic data visualization
— While a number of information visualization software frameworks exist, creating new visualizations, especially those that involve novel visualization metaphors, interaction tec...
Angus Forbes, Tobias Höllerer, George Legrady