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» Improving Gradient Estimation by Incorporating Sensor Data
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CVPR
2009
IEEE
1081views Computer Vision» more  CVPR 2009»
15 years 2 months ago
Learning Real-Time MRF Inference for Image Denoising
Many computer vision problems can be formulated in a Bayesian framework with Markov Random Field (MRF) or Conditional Random Field (CRF) priors. Usually, the model assumes that ...
Adrian Barbu (Florida State University)
IJSNET
2011
55views more  IJSNET 2011»
12 years 11 months ago
Testing network protocols and signal attenuation in packed food transports
: Two sensor network protocols for the monitoring of packed food products were tested in different sea containers. The packet rate and the signal strength of all sensor-to-sensor l...
Reiner Jedermann, Markus Becker, Carmelita Gö...
ICIP
2010
IEEE
13 years 5 months ago
Plenoptic based super-resolution for omnidirectional image sequences
This paper addresses the reconstruction of high resolution omnidirectional images from a low resolution video acquired by an omnidirectional camera moving in a static scene. In or...
Luigi Bagnato, Yannick Boursier, Pascal Frossard, ...
BMCBI
2010
105views more  BMCBI 2010»
13 years 7 months ago
Effects of scanning sensitivity and multiple scan algorithms on microarray data quality
Background: Maximizing the utility of DNA microarray data requires optimization of data acquisition through selection of an appropriate scanner setting. To increase the amount of ...
Andrew Williams, Errol M. Thomson
BMCBI
2008
193views more  BMCBI 2008»
13 years 7 months ago
Missing value imputation for microarray gene expression data using histone acetylation information
Background: It is an important pre-processing step to accurately estimate missing values in microarray data, because complete datasets are required in numerous expression profile ...
Qian Xiang, Xianhua Dai, Yangyang Deng, Caisheng H...