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Institution

University of Rijeka

EducationRijeka, Croatia
About: University of Rijeka is a education organization based out in Rijeka, Croatia. It is known for research contribution in the topics: Population & Tourism. The organization has 3471 authors who have published 7993 publications receiving 110386 citations. The organization is also known as: Rijeka University & Sveučilište u Rijeci.


Papers
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Proceedings ArticleDOI
21 May 2018
TL;DR: A comparison of representative thermal face recognition methods is given, emphasizing their strengths and weaknesses, and trends in the development of surveillance and security systems will be outlined such as fusion of visible and thermal images and use of convolutional neural networks.
Abstract: The popularity of surveillance systems grows as well as a need for better security systems particularly in a bad lighting conditions or at night. The aim of a security system is to collect as many details as possible to enable a better recognition of persons. In this paper, a comparison of representative thermal face recognition methods will be given, emphasizing their strengths and weaknesses. Then, trends in the development of surveillance and security systems will be outlined such as fusion of visible and thermal images and use of convolutional neural networks. Also, existing challenges of thermal facial recognition and its applications in a real world will be pointed out.

43 citations

Journal ArticleDOI
TL;DR: Girls with higher BMI, who accepted societal standards of thin-ideal, perceived major social pressure to be thin through direct and persuasive comments designed to establish the importance of dieting, and probably develop eating disturbed habits, or some symptoms of anorexia (AN) or bulimia nervosa (BN).
Abstract: The aim of this investigation was to study the relationship between unhealthy eating habits and behaviors, perception and acceptance of societal standards regarding thinness, body dissatisfaction, and family and peer pressure to be thin. One hundred and twentythree high school girls from Rijeka (Croatia) were surveyed using Eating Attitudes Test (EAT-26), Sociocultural Attitudes Towards Appearance Questionnaire (SATAQ), Body Esteem Questionnaire for Adolescents and Adults (BES), and Scale of perceived pressure to be thin from family and peers. The results of path analyses showed that social pressure from family and peers, experience of weight-related teasing and criticism by family members, contributed to development of eating disturbance. The acceptance of social standards related to appearance, contributed to onset of disturbed eating habits. Weight satisfaction alone influences the development of some eating disorder symptoms, but it is also a mediator of higher body mass index (BMI) and internalization of societal appearance standards. Girls with higher BMI, who accepted societal standards of thin-ideal, perceived major social pressure to be thin through direct and persuasive comments designed to establish the importance of dieting, and probably develop eating disturbed habits, or some symptoms of anorexia (AN) or bulimia nervosa (BN).

43 citations

Journal ArticleDOI
Igor Kardum1
TL;DR: In this article, the authors examined the relationship of affect intensity and frequency with mean level and variability of positive and negative affect as well as Eysencks personality traits and found that the measures of affect intensities and frequency are significantly linked with mean-level and variance of negative and positive affect.

43 citations

Journal ArticleDOI
TL;DR: It is shown that the proposed signal denoising method outperforms the original ICI method equipped with the local polynomial approximation (LPA), as well as various conventional wavelet shrinkage methods.
Abstract: In this letter, we have proposed a signal denoising method based on a modification of the intersection of confidence intervals (ICI) rule. The ICI rule is complemented by the relative intersection of confidence intervals length which is used as an additional criterion for adaptive filter support selection. It is shown that the proposed method outperforms the original ICI method equipped with the local polynomial approximation (LPA), as well as various conventional wavelet shrinkage methods.

43 citations

Journal ArticleDOI
TL;DR: The hypothesis of a negative correlation between volatility and volatility asymmetry is tested and it is found that, for developed economies, γ experiences local minima during "Black Monday" on October 19, 1987, the dot-com bubble crash in 2002, and the 2007-2009 global crisis while for transition economies, τ experiences local maxima during times of economic crisis.
Abstract: In developed economies, the sign of the price increment influences the volatility in an asymmetric fashion— negative increments tend to result in larger volatility!increments with larger magnitudes", while positive increments result in smaller volatility. We explore whether this asymmetry extends from developed economies to European transition economies and, if so, how such asymmetry changes over time as these transition economies develop and mature. We analyze eleven European transition economies and compare the results with those obtained by analyzing U.S. market indices. Specifically, we calculate parameters that quantify both the volatility asymmetry and the strength of its dependence on prior increments. We find that, like their developed economy counterparts, almost all transition economy indices exhibit a significant volatility asymmetry, and the parameter !characterizing asymmetry fluctuates more over time for transition economies. We also investigate how the association between volatility and volatility asymmetry varies by type of market. We test the hypothesis of a negative correlation between volatility and volatility asymmetry. We find that, for developed economies,!experiences local minima during!i"“Black Monday” on October 19, 1987,!ii"the dot-combubble crash in 2002, and!iii"the 2007‐2009 global crisis while for transition economies,!experiences local maxima during times of economic crisis.

43 citations


Authors

Showing all 3537 results

NameH-indexPapersCitations
Igor Rudan142658103659
Nikola Godinovic1381469100018
Ivica Puljak134143697548
Damir Lelas133135493354
D. Mekterovic11044946779
Ulrich H. Koszinowski9628127709
Michele Doro7943720090
Robert Zivadinov7352218636
D. Dominis Prester7036316701
Daniel Ferenc7022516145
Vladimir Parpura6422618050
Stipan Jonjić6222719363
Dario Hrupec6028813345
Alessandro Laviano5929814609
Tomislav Terzić5827110699
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202329
202279
2021636
2020707
2019622
2018564