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ECCV
2002
Springer
14 years 9 months ago
Assorted Pixels: Multi-sampled Imaging with Structural Models
Abstract. Multi-sampled imaging is a general framework for using pixels on an image detector to simultaneously sample multiple dimensions of imaging (space, time, spectrum, brightn...
Shree K. Nayar, Srinivasa G. Narasimhan
ICPP
2000
IEEE
14 years 1 days ago
A Scalable Parallel Subspace Clustering Algorithm for Massive Data Sets
Clustering is a data mining problem which finds dense regions in a sparse multi-dimensional data set. The attribute values and ranges of these regions characterize the clusters. ...
Harsha S. Nagesh, Sanjay Goil, Alok N. Choudhary
CGF
2006
183views more  CGF 2006»
13 years 7 months ago
Cross Dissolve Without Cross Fade: Preserving Contrast, Color and Salience in Image Compositing
Linear interpolation is the standard image blending method used in image compositing. By averaging in the dynamic range, it reduces contrast and visibly degrades the quality of co...
Mark Grundland, Rahul Vohra, Gareth P. Williams, N...
CSE
2009
IEEE
14 years 2 months ago
The Importance of Data Collection for Modelling Contact Networks
—The recently developed small wireless devices ranging from sensor boards to mobile phones provide a timely opportunity to gather unique data sets on complex human interactions, ...
Eiko Yoneki
ARITH
2005
IEEE
14 years 1 months ago
The Residue Logarithmic Number System: Theory and Implementation
— The Residue Logarithmic Number System (RLNS) represents real values as quantized logarithms which, in turn, are represented using the Residue Number System (RNS). Compared to t...
Mark G. Arnold