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» Classifier Selection Based on Data Complexity Measures
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SIGCOMM
2010
ACM
15 years 2 months ago
Multi-hop packet tracking for experimental facilities
The Internet has become a complex system with increasing numbers of end-systems, applications, protocols and types of networks. Although we have a good understanding of how data i...
Tacio Santos, Christian Henke, Carsten Schmoll, Ta...
BMCBI
2008
157views more  BMCBI 2008»
15 years 1 months ago
Dimension reduction with redundant gene elimination for tumor classification
Background: Analysis of gene expression data for tumor classification is an important application of bioinformatics methods. But it is hard to analyse gene expression data from DN...
Xue-Qiang Zeng, Guo-Zheng Li, Jack Y. Yang, Mary Q...
144
Voted
ICIP
2007
IEEE
15 years 5 months ago
Real-Time Pedestrian Detection using Eigenflow
We propose a novel learning algorithm to detect moving pedestrians from a stationary camera in real-time. The algorithm learns a discriminative model based on eigenflow, i.e. the ...
Dhiraj Goel, Tsuhan Chen
121
Voted
SIGMOD
1997
ACM
107views Database» more  SIGMOD 1997»
15 years 6 months ago
Range Queries in OLAP Data Cubes
A range query applies an aggregation operation over all selected cells of an OLAP data cube where the selection is speci ed by providing ranges of values for numeric dimensions. W...
Ching-Tien Ho, Rakesh Agrawal, Nimrod Megiddo, Ram...
ICCV
2009
IEEE
14 years 11 months ago
A hybrid generative/discriminative classification framework based on free-energy terms
Hybrid generative-discriminative techniques and, in particular, generative score-space classification methods have proven to be valuable approaches in tackling difficult object or...
Alessandro Perina, Marco Cristani, Umberto Castell...