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» Sampling and Reconstruction of Operators
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SCALESPACE
2001
Springer
14 years 1 months ago
Gaussian Convolutions. Numerical Approximations Based on Interpolation
Abstract. Gaussian convolutions are perhaps the most often used image operators in low-level computer vision tasks. Surprisingly though, there are precious few articles that descri...
Rein van den Boomgaard, Rik van der Weij
CIDR
2007
111views Algorithms» more  CIDR 2007»
13 years 10 months ago
The Case for a Signal-Oriented Data Stream Management System
Sensors capable of sensing phenomena at high data rates—on the order of tens to hundreds of thousands of samples per second—are useful in many industrial, civil engineering, s...
Lewis Girod, Yuan Mei, Ryan Newton, Stanislav Rost...
TCAD
2010
118views more  TCAD 2010»
13 years 3 months ago
Design Tools for Digital Microfluidic Biochips: Toward Functional Diversification and More Than Moore
Abstract--Microfluidics-based biochips enable the precise control of nanoliter volumes of biochemical samples and reagents. They combine electronics with biology, and they integrat...
Krishnendu Chakrabarty, Richard B. Fair, Jun Zeng
ISDA
2009
IEEE
14 years 3 months ago
Clustering-Based Feature Selection in Semi-supervised Problems
— In this contribution a feature selection method in semi-supervised problems is proposed. This method selects variables using a feature clustering strategy, using a combination ...
Ianisse Quinzán, José Manuel Sotoca,...
IJCV
1998
153views more  IJCV 1998»
13 years 8 months ago
Rational Filters for Passive Depth from Defocus
A fundamental problem in depth from defocus is the measurement of relative defocus between images. The performance of previously proposed focus operators are inevitably sensitive t...
Masahiro Watanabe, Shree K. Nayar