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» Efficient Discovery of Confounders in Large Data Sets
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BMCBI
2010
182views more  BMCBI 2010»
13 years 10 months ago
Beyond co-localization: inferring spatial interactions between sub-cellular structures from microscopy images
Background: Sub-cellular structures interact in numerous direct and indirect ways in order to fulfill cellular functions. While direct molecular interactions crucially depend on s...
Jo A. Helmuth, Grégory Paul, Ivo F. Sbalzar...
WSCG
2004
170views more  WSCG 2004»
13 years 11 months ago
Geo-Spatial Data Viewer: From Familiar Land-covering to Arbitrary Distorted Geo-Spatial Quadtree Maps
In many application domains, data is collected and referenced by its geo-spatial location. Spatial data mining, or the discovery of interesting patterns in such databases, is an i...
Daniel A. Keim, Christian Panse, Jörn Schneid...
JNW
2008
173views more  JNW 2008»
13 years 10 months ago
Dominating Set Theory based Semantic Overlay Networks for Efficient and Resilient Content Distribution
Recently overlay networks have emerged as an efficient and flexible method for content distribution. An overlay network is a network running on top of another network, usually the ...
J. Amutharaj, S. Radhakrishnan
CVPR
2009
IEEE
15 years 5 months ago
A Streaming Framework for Seamless Building Reconstruction from Large-Scale Aerial LiDAR Data
We present a streaming framework for seamless building reconstruction from huge aerial LiDAR point sets. By storing data as stream files on hard disk and using main memory as only ...
Qian-Yi Zhou (University of Southern California), ...
AUSAI
2003
Springer
14 years 3 months ago
Association Rule Discovery with Unbalanced Class Distributions
There are many methods for finding association rules in very large data. However it is well known that most general association rule discovery methods find too many rules, which...
Lifang Gu, Jiuyong Li, Hongxing He, Graham J. Will...