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» Real world performance of association rule algorithms
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MVA
2008
201views Computer Vision» more  MVA 2008»
14 years 9 months ago
How close are we to solving the problem of automated visual surveillance?
The problem of automated visual surveillance has spawned a lively research area, with 2005 seeing three conferences or workshops and special issues of two major journals devoted to...
Hannah M. Dee, Sergio A. Velastin
TNN
2008
152views more  TNN 2008»
14 years 9 months ago
Distributed Parallel Support Vector Machines in Strongly Connected Networks
We propose a distributed parallel support vector machine (DPSVM) training mechanism in a configurable network environment for distributed data mining. The basic idea is to exchange...
Yumao Lu, Vwani P. Roychowdhury, L. Vandenberghe
JOI
2007
99views more  JOI 2007»
14 years 9 months ago
Measuring quality of similarity functions in approximate data matching
This paper presents a method for assessing the quality of similarity functions. The scenario taken into account is that of approximate data matching, in which it is necessary to d...
Roberto da Silva, Raquel Kolitski Stasiu, Viviane ...
AROBOTS
1999
140views more  AROBOTS 1999»
14 years 9 months ago
A Robust Analog VLSI Motion Sensor Based on the Visual System of the Fly
Sensing visual motion gives a creature valuable information about its interactions with the environment. Flies in particular use visual motion information to navigate through turbu...
Reid R. Harrison, Christof Koch
KAIS
2010
144views more  KAIS 2010»
14 years 8 months ago
Boosting support vector machines for imbalanced data sets
Real world data mining applications must address the issue of learning from imbalanced data sets. The problem occurs when the number of instances in one class greatly outnumbers t...
Benjamin X. Wang, Nathalie Japkowicz