Search
6 articles for “Independent Component Analysis (ICA)”
-
A Survey on Face Recognition Techniques and Its Applications
Abstract: Face recognition has been a fast growing, and interesting area in real time applications. Automatic face recognition has shown great achievement for high-quality images under embarrassed conditions; for video-based recognition it is hard to achieve similar levels of performance. Human face detection and tracking of moving objects in the video are important tasks of the computer vision. Human and object frames are separated by implementing a face detection algorithm for …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 1, Issue 3, 2014 · pp. 16–21 Read article
-
Image fusion, compresion and separation and segmentation Technique
Abstract: Image fusion compression Separation and segmentation is very typical task in image processing field In this paper we have done image fusion with help of Principal Component analysis(PCA) and Independent Component analysis(ICA) and compression with Principal Component Analysis (PCA) and Separation with Independent Component analysis (ICA) ,Scatter graphical method and convolution Mixture technique and segmentation with watershed technique and K mean ROI Focus on Different technique of image and signal …
Published in Recent Trends in Parallel Computing · Vol. 5, Issue 1, 2018 · pp. 27–36 Read article
-
A Robust Face Recognition Model based on Convolutional Neural Networks
Abstract: From the past several years, face recognition is one of the challenging issues in computer vision, due to three main technical problems in it. 1) Expression problem: in which same person shows more than one expression. 2) Illumination problem: in which face images of the person are strongly corrupted by lightning and 3) poses problem: in which large portion of the face becomes invisible due to occlusion. To this end …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 5, Issue 1, 2018 · pp. 1–11 Read article
-
Evaluation Algorithm for Discrimination between Fault and Power Swing Using Independent Component Analysis
Abstract: The analysis of faults and disturbances in power systems is a basic requirement for a secure and reliable electrical power supply. Independent component analysis (ICA) is an efficient computational method used to find out hidden components in a set of sampled data. The basic target of ICA is to find a linear representation and relation between nongaussian data captured during disturbance, so that the components are statistically independent, or as …
Published in Journal of Power Electronics and Power Systems · Vol. 6, Issue 3, 2016 · pp. 53–59 Read article
-
Ventricular Arrhythmia Detection Techniques for ECG Signal: A Survey Approach
Abstract: Electrocardiogram (ECG) represents the electrical activity of the heart and is used to measure the rate and regularity of heartbeats. In this paper we propose a method for an Independent Component Analysis (ICA) based detection and classification of the ventricular arrhythmia. The malignant ventricular arrhythmia database from www.physionet.org/physiobank/database/vfdb has been utilized for evaluating the algorithm over MATLAB interface. This scheme assimilates ICA and probabilistic neural network for classifying critical arrhythmia …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 5, Issue 1, 2015 · pp. 25–30 Read article
-
Cognitive Enhancement of the Brain: Removal of Artefacts
Abstract: The study aims to investigate and explore the various methods to find psychological and physiological signals of any subjects. Their pre and post data recordings are studied as a part of this study. The study is named as the “Cognitive Enhancement of the Brain.” Various features which are there in the physiological signals are actually processed to be extracted then classified and then interrelated or correlated by using various tools …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 5, Issue 2, 2018 · pp. 21–25 Read article