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IROS
2009
IEEE
190views Robotics» more  IROS 2009»
14 years 2 months ago
3D pose and velocity visual tracking based on sequential region of interest acquisition
— This paper presents a high speed visual tracking method based on non simultaneous subimages acquisition. This method is formulated as a virtual visual servoing scheme. The sequ...
Redwan Dahmouche, Nicolas Andreff, Youcef Mezouar,...
SDM
2012
SIAM
234views Data Mining» more  SDM 2012»
11 years 9 months ago
Monitoring and Mining Insect Sounds in Visual Space
Monitoring animals by the sounds they produce is an important and challenging task, whether the application is outdoors in a natural habitat, or in the controlled environment of a...
Yuan Hao, Bilson J. L. Campana, Eamonn J. Keogh
VL
2007
IEEE
120views Visual Languages» more  VL 2007»
14 years 1 months ago
Finding Gender Differences in End-User Debugging: A Data Mining Approach
We are currently investigating what types of end user personas (or homogeneous groups in the population) exist and what works for or hinders each in end-user debugging. These pers...
Valentina Grigoreanu
DMSN
2006
ACM
14 years 1 months ago
Intelligent system monitoring on large clusters
Modern data centers have a large number of components that must be monitored, including servers, switches/routers, and environmental control systems. This paper describes InteMon,...
Jimeng Sun, Evan Hoke, John D. Strunk, Gregory R. ...
GFKL
2004
Springer
135views Data Mining» more  GFKL 2004»
14 years 23 days ago
KMC/EDAM: A New Approach for the Visualization of K-Means Clustering Results
In this work we introduce a method for classification and visualization. In contrast to simultaneous methods like e.g. Kohonen SOM this new approach, called KMC/EDAM, runs through...
Nils Raabe, Karsten Luebke, Claus Weihs