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» Objective reduction using a feature selection technique
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158
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QOSIP
2005
Springer
15 years 9 months ago
802.11 MAC Protocol with Selective Error Detection for Speech Transmission
The IEEE 802.11 standard currently does not offer support to exploit the unequal perceptual importance of multimedia bitstreams. All packets affected by channel errors, in fact, ...
Antonio Servetti, Juan Carlos De Martin
DASFAA
2011
IEEE
231views Database» more  DASFAA 2011»
14 years 7 months ago
Querying Moving Objects with Uncertainty in Spatio-Temporal Databases
Spatio-temporal uncertainty is a special feature of moving objects due to the inability of precisely capturing or predicting their continuously changing locations. Indeterminate lo...
Hechen Liu, Markus Schneider
138
Voted
EVENT
2001
202views more  EVENT 2001»
15 years 5 months ago
Detecting Independently Moving Objects and Their Interactions in Georeferenced Airborne Video
In airborne video, objects are tracked from a moving camera and often imaged at very low resolution. The camera movement makes it difficult to determine whether or not an object i...
J. Brian Burns
148
Voted
ICDAR
2009
IEEE
15 years 1 months ago
Low Cost Correction of OCR Errors Using Learning in a Multi-Engine Environment
We propose a low cost method for the correction of the output of OCR engines through the use of human labor. The method employs an error estimator neural network that learns to as...
Ahmad Abdulkader, Mathew R. Casey
132
Voted
CVPR
2007
IEEE
16 years 5 months ago
Resolving Objects at Higher Resolution from a Single Motion-blurred Image
Motion blur can degrade the quality of images and is considered a nuisance for computer vision problems. In this paper, we show that motion blur can in-fact be used for increasing...
Amit K. Agrawal, Ramesh Raskar