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ICIP
2007
IEEE
14 years 1 months ago
A VQ-Based Demosaicing by Self-Similarity
In this paper, we propose a learning-based demosaicing and a restoration error detection. A Vector Quantization (VQ)based method is utilized for learning. We take advantage of a s...
Yoshikuni Nomura, Shree K. Nayar
TNN
2011
132views more  TNN 2011»
13 years 1 months ago
Lower Upper Bound Estimation Method for Construction of Neural Network-Based Prediction Intervals
—Prediction intervals (PIs) have been proposed in the literature to provide more information by quantifying the level of uncertainty associated to the point forecasts. Traditiona...
Abbas Khosravi, Saeid Nahavandi, Douglas C. Creigh...
ISMAR
2006
IEEE
14 years 1 months ago
Predicting and estimating the accuracy of n-occular optical tracking systems
Marker-based optical tracking systems are widely used in augmented reality, medical navigation and industrial applications. We propose a model for the prediction of the target reg...
Martin Bauer, Michael Schlegel, Daniel Pustka, Nas...
NN
2006
Springer
163views Neural Networks» more  NN 2006»
13 years 7 months ago
Machine learning approaches for estimation of prediction interval for the model output
A novel method for estimating prediction uncertainty using machine learning techniques is presented. Uncertainty is expressed in the form of the two quantiles (constituting the pr...
Durga L. Shrestha, Dimitri P. Solomatine
ISCAS
2005
IEEE
129views Hardware» more  ISCAS 2005»
14 years 1 months ago
An analytical approach for soft error rate estimation in digital circuits
—Soft errors due to cosmic rays cause reliability problems during lifetime operation of digital systems, which increase exponentially with Moore’s law. The first step in develo...
Ghazanfar Asadi, Mehdi Baradaran Tahoori