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» Algorithms for distributed functional monitoring
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TMI
1998
181views more  TMI 1998»
15 years 6 months ago
Image Contrast Enhancement Based on a Histogram Transformation of Local Standard Deviation
Abstract— The adaptive contrast enhancement (ACE) algorithm, which uses contrast gains (CG’s) to adjust the highfrequency components of images, is a well-known technique for me...
Dah-Chung Chang, Wen-Rong Wu
ICONIP
2007
15 years 8 months ago
Natural Conjugate Gradient in Variational Inference
Variational methods for approximate inference in machine learning often adapt a parametric probability distribution to optimize a given objective function. This view is especially ...
Antti Honkela, Matti Tornio, Tapani Raiko, Juha Ka...
155
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MLDM
2007
Springer
16 years 24 days ago
Applying Frequent Sequence Mining to Identify Design Flaws in Enterprise Software Systems
In this paper we show how frequent sequence mining (FSM) can be applied to data produced by monitoring distributed enterprise applications. In particular we show how we applied FSM...
Trevor Parsons, John Murphy, Patrick O'Sullivan
AVSS
2006
IEEE
16 years 22 days ago
Fusion of Omnidirectional and PTZ Cameras for Accurate Cooperative Tracking
Dual camera systems (omnidirectional and slaved PTZ cameras) are widely used in public area monitoring and target tracking. However, due to their low and non-uniform resolution, o...
Yi Yao, Besma R. Abidi, Mongi A. Abidi
ICPADS
2005
IEEE
16 years 8 days ago
Automated Discovery of Brand Piracy on the Internet
The Internet has become a key instrument for establishing and promoting product brands. Companies are very interested in detecting any misuse of their logos, plagiarism, grey impo...
Ulrich Pinsdorf, Peter Ebinger