The goal of semantic segmentation is to segment the input image according to semantic
information and predict the semantic category of each pixel from a given label set. With the …

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 …

Abstract Nowadays, Deep Learning is the most attractive research trend in the area of
Machine Learning. With the ability of learning features from raw data by deep architectures …

In this paper, an overview of the artificial neural networks is presented. Their main and
popular types such as the multilayer feedforward neural network (MLFFNN), the recurrent …

In recent years, person re-identification (ReID) has received much attention since it is a
fundamental task in intelligent surveillance systems and has widespread application …

Considering the labeled samples may be difficult to obtain because they require human
annotators, special devices, or expensive and slow experiments. Semi-supervised learning …

The color information of diseased leaf is the main basis for leaf based plant disease
recognition. To make use of color information, a novel three-channel convolutional neural …

Firefly algorithm (FA) is one of the popular algorithms of Swarm Intelligence domain. The
literature has expanded significantly in the past few years. This paper provides a timely …

Abstract Deep Nonnegative Matrix Factorization (Deep NMF) is an effective strategy for
feature extraction in recent years. By decomposing the matrix recurrently on account of the …

This paper presents a novel method for fault diagnosis based on empirical mode
decomposition (EMD), an improved distance evaluation technique and the combination of …