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» Informative sampling for large unbalanced data sets
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143
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ICS
2000
Tsinghua U.
15 years 7 months ago
Compiling object-oriented data intensive applications
Processing and analyzing large volumes of data plays an increasingly important role in many domains of scienti c research. High-level language and compiler support for developing ...
Renato Ferreira, Gagan Agrawal, Joel H. Saltz
174
Voted
KAIS
2000
87views more  KAIS 2000»
15 years 3 months ago
An Index Structure for Data Mining and Clustering
Abstract. In this paper we present an index structure, called MetricMap, that takes a set of objects and a distance metric and then maps those objects to a k-dimensional space in s...
Xiong Wang, Jason Tsong-Li Wang, King-Ip Lin, Denn...
170
Voted
ICCV
2009
IEEE
1363views Computer Vision» more  ICCV 2009»
16 years 8 months ago
Human Detection Using Partial Least Squares Analysis
Significant research has been devoted to detecting people in images and videos. In this paper we describe a human detection method that augments widely used edge-based features ...
William Robson Schwartz, Aniruddha Kembhavi, David...
136
Voted
BMCBI
2008
154views more  BMCBI 2008»
15 years 3 months ago
Bayesian models and meta analysis for multiple tissue gene expression data following corticosteroid administration
Background: This paper addresses key biological problems and statistical issues in the analysis of large gene expression data sets that describe systemic temporal response cascade...
Yulan Liang, Arpad Kelemen
113
Voted
APVIS
2008
15 years 5 months ago
Pixelplexing: Gaining Display Resolution Through Time
Animation is frequently utilized to visually depict change in timevarying data sets. For this task, it is a natural fit. Yet explicit animation is rarely employed for static data....
James Shearer, Michael Ogawa, Kwan-Liu Ma, Toby Ko...