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» Detecting critical regions in multidimensional data sets
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SIGMOD
2009
ACM
177views Database» more  SIGMOD 2009»
14 years 7 months ago
ORDEN: outlier region detection and exploration in sensor networks
Sensor networks play a central role in applications that monitor variables in geographic areas such as the traffic volume on roads or the temperature in the environment. A key fea...
Conny Franke, Michael Gertz
ICIAR
2004
Springer
14 years 1 months ago
Inspecting Colour Tonality on Textured Surfaces
We present a multidimensional histogram method to inspect tonality on colour textured surfaces, e.g. ceramic tiles. Comparison in the noise dominated chromatic channels is error pr...
Xianghua Xie, Majid Mirmehdi, Barry T. Thomas
HOTOS
2007
IEEE
13 years 11 months ago
Is the Optimism in Optimistic Concurrency Warranted?
Optimistic synchronization allows concurrent execution of critical sections while performing dynamic conflict detection and recovery. Optimistic synchronization will increase perf...
Donald E. Porter, Owen S. Hofmann, Emmett Witchel

Source Code
1079views
13 years 2 months ago
Global Contrast based Salient Region Detection
Reliable estimation of visual saliency allows appropriate processing of images without prior knowledge of their content, and thus remains an important step in many computer vision ...
SAC
2005
ACM
14 years 1 months ago
A hybrid approach for multiresolution modeling of large-scale scientific data
Simulations of complex scientific phenomena involve the execution of massively parallel computer programs. These simulation programs generate large-scale multidimensional data set...
Tina Eliassi-Rad, Terence Critchlow