Sfoglia per Soggetto "Pattern recognition"
Items 1-17 di 17
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Automated differentiation of glioblastomas from intracranial metastases using 3T MR spectroscopic and perfusion data
(2013)Purpose Differentiation of glioblastomas from metastases is clinical important, but may be difficult even for expert observers. To investigate the contribution of machine learning algorithms in the differentiation of ... -
Calculation of Complex Zernike Moments with Geodesic Correction for Pose Recognition in Omni-directional Images
(2014)A number of Computer Vision and Artificial Intelligence applications are based on descriptors that are extracted from imaged objects. One widely used class of such descriptors are the invariant moments, with Zernike moments ... -
Database and baseline system for detecting degraded traffic signs in urban environments
(2015)We present a small database of 'noisy' traffic signs in cluttered urban environments that exhibit various forms of degradation, including vandalism and fading (discoloration). The database contains five types of international ... -
Deep Hybrid Learning for Anomaly Detection in Behavioral Monitoring
(2022)The task of understanding human behavior through intelligent systems is crucial in various domains from medical health and well-being to financial and social platforms. In this work, we propose a complete framework that ... -
Early Fusion of Visual Representations of Skeletal Data for Human Activity Recognition
(2022)In this work we present an approach for human activity recognition which is based on skeletal motion, i.e., the motion of skeletal joints in the 3D space. More specifically, we propose the use of 4 well-known image ... -
Fall detection using commodity smart watch and smart phone
(2014)Human motion data captured from wearable devices such as smart watches can be utilized for activity recognition or emergency event detection, especially in the case of elderly or disabled people living independently in ... -
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 ... -
Fusing Handcrafted and Contextual Features for Human Activity Recognition
(2019)In this paper we present an approach for the recognition of human activity that combines handcrafted features from 3D skeletal data and contextual features learnt by a trained deep Convolutional Neural Network (CNN). Our ... -
Geodesically-corrected Zernike descriptors for pose recognition in omni-directional images
(2016)A significant number of Computer Vision and Artificial Intelligence applications are based on descriptors that are extracted from segmented objects. One widely used class of such descriptors are the invariant moments, with ... -
Human Activity Recognition Under Partial Occlusion
(2022)One of the major challenges in Human Activity Recognition (HAR) using cameras, is occlusion of one or more body parts. However, this problem is often underestimated in contemporary research works, wherein training and ... -
Links between network topology and socioeconomic framework of railway transport: Evidence from Greece
(2017)This paper studies the Greek railway network (GRAN) by using complex network analysis (CNA) and empirical approach. The study aims to detect the socioeconomic information immanent to the GRAN's topology and to provide ... -
Load curves partitioning with the application of soft clustering algorithms
(2019)Load profiling refers to a procedure which leads to the formulation of daily load curve and consumer categories regarding the similarity of their curves shapes. This procedure incorporates a set of pattern recognition ... -
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 ... -
SARS-CoV-2 wastewater monitoring using a novel PCR-based method rapidly captured the Delta-to-Omicron ΒΑ.1 transition patterns in the absence of conventional surveillance evidence
(2022)Conventional SARS-CoV-2 surveillance based on genotyping of clinical samples is characterized by challenges related to the available sequencing capacity, population sampling methodologies, and is time, labor, and ... -
A study on the Effect of Occlusion in Human Activity Recognition
(2021)The problem of occlusion plays a crucial role in real-life human activity recognition applications. However, most research works either underestimate it, or base their training solely on datasets shot under laboratory ... -
Visibility in the topology of complex networks
(2018)Taking its inspiration from the visibility algorithm, which was proposed by Lacasa et al. (2008) to convert a time-series into a complex network, this paper develops and proposes a novel expansion of this algorithm that ... -
Wafer Map Defect Pattern Recognition using Imbalanced Datasets
(2022)The accurate and automatic inspection of wafer maps is vital for semiconductor engineers to identify defect causes and to optimize the wafer fabrication process. This research work seeks to address the pattern recognition ...