Edge detection is one of the most important and fundamental problems in the field of
computer vision and image processing. Edge contours extracted from images are widely …

The rapid development of information and wireless communication technologies together
with the large increase in the number of end-users have made the radio spectrum more …

Electrocardiogram (ECG) signal is significant to diagnose cardiac arrhythmia among various
biological signals. The accurate analysis of noisy electrocardiographic (ECG) signal is a …

Deep convolutional neural networks (DCNNs) have led to breakthrough results in numerous
practical machine learning tasks, such as classification of images in the ImageNet data set …

Electrocardiographic (ECG) signal is significant to diagnose cardiac arrhythmia among
various biological signals. The accurate analysis of noisy Electrocardiographic (ECG) signal …

In the past decade, Discrete Wavelet Transform (DWT), a powerful time-frequency tool, has
been widely used in computer-aided signal analysis of epileptic electroencephalography …

The mathematical characterization of singularities with Lipschitz exponents is reviewed.
Theorems that estimate local Lipschitz exponents of functions from the evolution across …

Using generic interpolation machinery based on solving Poisson equations, a variety of
novel tools are introduced for seamless editing of image regions. The first set of tools permits …

The fact that objects in the world appear in different ways depending on the scale of
observation has important implications if one aims at describing them. It shows that the …

Sparse and redundant representation modeling of data assumes an ability to describe
signals as linear combinations of a few atoms from a pre-specified dictionary. As such, the …