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ESANN
2007
15 years 7 months ago
How to process uncertainty in machine learning?
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
Barbara Hammer, Thomas Villmann
PAMI
2007
127views more  PAMI 2007»
15 years 5 months ago
Stereo Correspondence with Occlusion Handling in a Symmetric Patch-Based Graph-Cuts Model
—A novel patch-based correspondence model is presented in this paper. Many segment-based correspondence approaches have been proposed in recent years. Untextured pixels and bound...
Yi Deng, Qiong Yang, Xueyin Lin, Xiaoou Tang
JPDC
2011
155views more  JPDC 2011»
14 years 9 months ago
A cellular learning automata-based deployment strategy for mobile wireless sensor networks
: One important problem which may arise in designing a deployment strategy for a wireless sensor network is how to deploy a specific number of sensor nodes throughout an unknown ne...
Mehdi Esnaashari, Mohammad Reza Meybodi
MSWIM
2005
ACM
15 years 12 months ago
Performance analysis of the intertwined effects between network layers for 802.11g transmissions
While the canonical behavior of today’s home Internet users involves several residents concurrently executing diverse Internet applications, the most common home configuration ...
Jon Gretarsson, Feng Li, Mingzhe Li, Ashish Samant...
DSN
2002
IEEE
15 years 11 months ago
Model Checking Performability Properties
Model checking has been introduced as an automated technique to verify whether functional properties, expressed in a formal logic like computational tree logic (CTL), do hold in a...
Boudewijn R. Haverkort, Lucia Cloth, Holger Herman...