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» Analysis and Application of Adaptive Sampling
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TMI
2011
127views more  TMI 2011»
13 years 4 months ago
Reconstruction of Large, Irregularly Sampled Multidimensional Images. A Tensor-Based Approach
Abstract—Many practical applications require the reconstruction of images from irregularly sampled data. The spline formalism offers an attractive framework for solving this prob...
Oleksii Vyacheslav Morozov, Michael Unser, Patrick...
PLDI
1997
ACM
14 years 2 months ago
Dynamic Feedback: An Effective Technique for Adaptive Computing
This paper presents dynamic feedback, a technique that enables computations to adapt dynamically to different execution environments. A compiler that uses dynamic feedback produce...
Pedro C. Diniz, Martin C. Rinard
BMCBI
2006
173views more  BMCBI 2006»
13 years 10 months ago
Kernel-based distance metric learning for microarray data classification
Background: The most fundamental task using gene expression data in clinical oncology is to classify tissue samples according to their gene expression levels. Compared with tradit...
Huilin Xiong, Xue-wen Chen
PRL
2002
104views more  PRL 2002»
13 years 9 months ago
Writer adaptation techniques in HMM based Off-Line Cursive Script Recognition
This work presents the application of HMM adaptation techniques to the problem of Off-Line Cursive Script Recognition. Rather than training a new model for each writer, one first ...
Alessandro Vinciarelli, Samy Bengio
COMPSAC
2002
IEEE
14 years 2 months ago
Application of Hazard Analysis to Software Quality Modelling
Quality is a fundamental concept in software and information system development. It is also a complex and elusive concept. A large number of quality models have been developed for...
Hong Zhu, Yanlong Zhang, Qingning Huo, Sue Greenwo...