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» Probability Models for High Dynamic Range Imaging
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ECML
2007
Springer
15 years 3 months ago
On Phase Transitions in Learning Sparse Networks
In this paper we study the identification of sparse interaction networks as a machine learning problem. Sparsity means that we are provided with a small data set and a high number...
Goele Hollanders, Geert Jan Bex, Marc Gyssens, Ron...
GLOBECOM
2009
IEEE
15 years 1 months ago
Route Capacity Estimation Based Admission Control and QoS Routing for Mesh Networks
Wireless Mesh Networks (WMNs) is a promising key technology for next generation wireless backhauling that is expected to support various types of applications with different qualit...
Chi Harold Liu, Athanasios Gkelias, Kin K. Leung
CDC
2008
IEEE
188views Control Systems» more  CDC 2008»
14 years 11 months ago
A method for stereo-vision based tracking for robotic applications
Vision based tracking of an object using the ideas of perspective projection inherently consists of nonlinearly modelled measurements although the underlying dynamic system that en...
Pubudu N. Pathirana, Adrian N. Bishop, Andrey V. S...
SIGGRAPH
2010
ACM
15 years 2 months ago
envyLight: an interface for editing natural illumination
Scenes lit with high dynamic range environment maps of real-world environments exhibit all the complex nuances of natural illumination. For applications that need lighting adjustm...
Fabio Pellacini
ISCAPDCS
2007
14 years 11 months ago
Evaluation of architectural support for speech codecs application in large-scale parallel machines
— Next generation multimedia mobile phones that use the high bandwidth 3G cellular radio network consume more power. Multimedia algorithms such as speech, video transcodecs have ...
Naeem Zafar Azeemi