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» Hyperaccurate Least Squares and Its Applications
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SIAMSC
2010
141views more  SIAMSC 2010»
13 years 5 months ago
An Iterative Method for Edge-Preserving MAP Estimation When Data-Noise Is Poisson
In numerous applications of image processing, e.g. astronomical and medical imaging, data-noise is well-modeled by a Poisson distribution. This motivates the use of the negative-lo...
Johnathan M. Bardsley, John Goldes
CVPR
2010
IEEE
14 years 3 months ago
Locality-constrained Linear Coding for Image Classification
The traditional SPM approach based on bag-of-features (BoF) must use nonlinear classifiers to achieve good image classification performance. This paper presents a simple but effec...
Jinjun Wang, Jianchao Yang, Kai Yu, Fengjun Lv
AGILE
2009
Springer
343views GIS» more  AGILE 2009»
14 years 1 months ago
Line Decomposition Based on Critical Points Detection
The problem of line simplification is a recurrent problem in cartography. The purpose is to remove irrelevant details while emphasising the main features of the line. Most of the ...
Eric Guilbert
BMCBI
2010
144views more  BMCBI 2010»
13 years 6 months ago
Super-sparse principal component analyses for high-throughput genomic data
Background: Principal component analysis (PCA) has gained popularity as a method for the analysis of highdimensional genomic data. However, it is often difficult to interpret the ...
Donghwan Lee, Woojoo Lee, Youngjo Lee, Yudi Pawita...
PR
2008
100views more  PR 2008»
13 years 6 months ago
Boundary based shape orientation
The computation of a shape's orientation is a common task in the area of computer vision and image processing, being used for example to define a local frame of reference and...
Jovisa D. Zunic, Milos Stojmenovic