Πλοήγηση ανά Συγγραφέα "Plagianakos, V. P."
Αποτελέσματα 1-20 από 28
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Artificial Neural Networks and Principal Components Analysis for Detection of Idiopathic Pulmonary Fibrosis in Microscopy Images
(2013)In this study we present a computer assisted image identification and recognition tool that aims to help the diagnosis of idiopathic pulmonary fibrosis in microscopy images. To this end, we use principal components analysis ... -
Classification of apoptosis using advanced clustering techniques on digital microscopic images
(2010)Programmed cell death, also known as apoptosis is of fundamental importance in many biological processes and also highly associated with serious diseases like cancer and HIV. The current paper presents an innovative method ... -
Classification of dermatological images using advanced clustering techniques
(2010)Computer vision-based diagnosis systems have been widely used in dermatology, aiming at the early detection of skin cancer and more specifically the recognition of malignant melanoma tumor. This paper proposes a novel ... -
Clustering of high dimensional data streams
(2012)Clustering of data streams has become a task of great interest in the recent years as such data formats is are becoming increasingly ambiguous. In many cases, these data are also high dimensional and in result more complex ... -
Density based projection pursuit clustering
(2012)Clustering of high dimensional data is a very important task in Data Mining. In dealing with such data, we typically need to use methods like Principal Component Analysis and Projection Pursuit, to find interesting lower ... -
Enhancing Differential Evolution Utilizing Proximity-Based Mutation Operators
(2011)Differential evolution is a very popular optimization algorithm and considerable research has been devoted to the development of efficient search operators. Motivated by the different manner in which various search operators ... -
Enhancing principal direction divisive clustering
(2010)While data clustering has a long history and a large amount of research has been devoted to the development of numerous clustering techniques, significant challenges still remain. One of the most important of them is ... -
Evolutionary principal direction divisive partitioning
(2010)While data clustering has a long history and a large amount of research has been devoted to the development of clustering algorithms, significant challenges still remain. One of the most important challenges in the field ... -
Evolving cognitive and social experience in Particle Swarm Optimization through Differential Evolution: A hybrid approach
(2012)In recent years, the Particle Swarm Optimization has rapidly gained increasing popularity and many variants and hybrid approaches have been proposed to improve it. In this paper, motivated by the behavior and the spatial ... -
Fisheye camera modeling for human segmentation refinement in indoor videos
(2013)In this paper, we concentrate on refining the results of segmenting human presence from indoors videos acquired by a fisheye camera, using a 3D mathematical model of the camera. The model has been calibrated according to ... -
Hardware-friendly Higher-Order Neural Network Training using Distributed Evolutionary Algorithms
(2010)In this paper, we study the class of Higher-Order Neural Networks and especially the Pi-Sigma Networks. The performance of Pi-Sigma Networks is evaluated through several well known Neural Network Training benchmarks. In ... -
Human segmentation and pose recognition in fish-eye video for assistive environments
(2013)In this work, we present a system, which uses computer vision techniques for human silhouette segmentation from video in indoor environments and a parametric 3D human model, in order to recognize the posture of the monitored ... -
Independent component clustering for skin lesions characterization
(2011)In this paper, we propose a clustering technique for the recognition of pigmented skin lesions in dermatological images. It is known that computer vision-based diagnosis systems have been used aiming mostly at the early ... -
Multi-optima search using Differential Evolution and unsupervised clustering
(2013)The aim of this paper is the combination of an Evolutionary Algorithm and a Data Mining technique for the location and computation of multiple local and global optima of an objective function. To accomplish this task we ... -
Multimodal optimization using niching differential evolution with index-based neighborhoods
(2012)A new family of Differential Evolution mutation strategies (DE/nrand) that are able to handle multimodal functions, have been recently proposed. The DE/nrand family incorporates information regarding the real nearest ... -
Pose recognition in indoor environments using a fisheye camera and a parametric human model
(2014)In this paper we present a system that uses computer vision techniques and a deformable 3D human model, in order to recognize the posture of a monitored person, given the segmented human silhouette from the background. The ... -
Projection based clustering of gene expression data
(2010)The microarray DNA technologies have given researchers the ability to examine, discover and monitor thousands of genes in a single experiment. Nonetheless, the tremendous amount of data that can be obtained from microarray ... -
Random direction divisive clustering
(2013)Projection methods for dimension reduction have enabled the discovery of otherwise unattainable structure in ultra high dimensional data. More recently, a particular method, namely Random Projection, has been shown to have ... -
Real time indoor robot localization using a stationary fisheye camera
(2013)A core problem in robotics is the localization of a mobile robot (determination of the location or pose) in its environment, since the robot's behavior depends on its position. In this work, we propose the use of a stationary ... -
Refinement of human silhouette segmentation in omni-directional indoor videos
(2014)In this paper, we present a methodology for refining the segmentation of human silhouettes in indoor videos acquired by fisheye cameras. This methodology is based on a fisheye camera model that employs a spherical optical ...