In this paper, we present a pixel-based, discriminative classification algorithm for automatic detection of unhealthy regions in leaf images. The algorithm is designed to distinguish image pixels as belonging to one of the two classes: healthy and unhealthy. The task is solved in three steps. First, we perform segmentation to divide the image into foreground and background. In the second step, ...

This paper investigates the connection between additive fuzzy systems and kernel machines. We prove that, under quite general conditions, these two seemingly quite distinct models are essentially equivalent. As a result, algorithms based upon Support Vector (SV) learning are proposed to build fuzzy systems for classification and function approximation. The performance of the proposed algorithm ...

A novel approach of decoding convolutional codes using a multi-class support vector machine is presented in this paper. Support vector machine is a recently developed and well recognized algorithm for constructing maximum margin classifiers. Unlike traditional adaptive learning approaches such as a multi-layer neural network, it is able to converge to a global optimum solution, hence achieving ...

Modern studies in the field of environment science and engineering show that deterministic models struggle to capture the relationship between the concentration of atmospheric pollutants and their emission sources. The recent advances in statistical modeling based on machine learning approaches have emerged as solution to tackle these issues. It is a fact that, input variable type largely affec...

The paper focuses on the implementation in Field Programmable Gate Arrays (FPGA) of vector control systems of the induction motor supplied from the tandem (hybrid) static-frequency converter. The paper tries to give a synthesis of the tandem vector control structure implementation. The implementation was made using the library elements for rapid prototyping of vector control systems for inducti...

In recent years, indoor scene recognition has attracted much attention and its research has rapidly expanded by not only engineers but also neuroscientists, since it has many potential applications in computer vision communication and automatic access control system. Especially, indoor scene recognition is an important part of computer vision and feature recognition as the first step of automat...