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...
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...
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 ...
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 ...
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...