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CACM
2010
104views more  CACM 2010»
15 years 2 months ago
Faster dimension reduction
Data represented geometrically in high-dimensional vector spaces can be found in many applications. Images and videos, are often represented by assigning a dimension for every pix...
Nir Ailon, Bernard Chazelle
TSMC
2002
110views more  TSMC 2002»
15 years 1 months ago
Complexity reduction for "large image" processing
We present a method for sampling feature vectors in large (e.g., 2000 5000 16 bit) images that finds subsets of pixel locations which represent "regions" in the image. Sa...
Nikhil R. Pal, James C. Bezdek
CVPR
2011
IEEE
14 years 9 months ago
Feature Guided Motion Artifact Reduction with Structure-Awareness in 4D CT Images
In this paper, we propose a novel method to reduce the magnitude of 4D CT artifacts by stitching two images with a data-driven regularization constrain, which helps preserve the l...
Dongfeng Han, John Bayouth, Qi Song, sudershan Bha...
ISIPTA
2003
IEEE
127views Mathematics» more  ISIPTA 2003»
15 years 7 months ago
Climate Projections for the 21st Century Using Random Sets
We apply random set theory to an analysis of future climate change. Bounds on cumulative probability are used to quantify uncertainties in natural and socio-economic factors that ...
Elmar Kriegler, Hermann Held
SAFECOMP
2000
Springer
15 years 5 months ago
Derivation of Safety Targets for the Random Failure of Programmable Vehicle Based Systems
Increasingly, the dependability of vehicle based programmable systems is becoming a key feature in ensuring the safety of those in and around the vehicle. The goal of those respons...
Richard Evans, Jonathan D. Moffett