Institution
Cyprus College
Education•Nicosia, Cyprus•
About: Cyprus College is a education organization based out in Nicosia, Cyprus. It is known for research contribution in the topics: Luminous infrared galaxy & Galaxy. The organization has 44 authors who have published 106 publications receiving 6111 citations.
Topics: Luminous infrared galaxy, Galaxy, Star formation, Luminosity, Population
Papers published on a yearly basis
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TL;DR: In this paper, the effects of aging on facial appearance can be explained using learned age transformations and present experimental results to show that reasonably accurate estimates of age can be made for unseen images.
Abstract: The process of aging causes significant alterations in the facial appearance of individuals When compared with other sources of variation in face images, appearance variation due to aging displays some unique characteristics Changes in facial appearance due to aging can even affect discriminatory facial features, resulting in deterioration of the ability of humans and machines to identify aged individuals We describe how the effects of aging on facial appearance can be explained using learned age transformations and present experimental results to show that reasonably accurate estimates of age can be made for unseen images We also show that we can improve our results by taking into account the fact that different individuals age in different ways and by considering the effect of lifestyle Our proposed framework can be used for simulating aging effects on new face images in order to predict how an individual might look like in the future or how he/she used to look in the past The methodology presented has also been used for designing a face recognition system, robust to aging variation In this context, the perceived age of the subjects in the training and test images is normalized before the training and classification procedure so that aging variation is eliminated Experimental results demonstrate that, when age normalization is used, the performance of our face recognition system can be improved
933 citations
Bradley University1, University of Tartu2, National Institutes of Health3, University of California4, Pontifical Catholic University of Chile5, University of Louisville6, University of Latvia7, Pennsylvania State University8, Slovak Academy of Sciences9, University of San Carlos10, University of Malta11, Ghent University12, Clemson University13, Laval University14, University of Buenos Aires15, Osaka University16, Illinois State University17, National Autonomous University of Mexico18, University of Brasília19, University of Western Australia20, University of Lima21, Boğaziçi University22, University of Kassel23, York University24, University of Queensland25, Åbo Akademi University26, Al Akhawayn University27, University of Hawaii at Manoa28, University of Catania29, University of Otago30, University of Dhaka31, Chemnitz University of Technology32, Knox College33, Comenius University in Bratislava34, University of Rijeka35, University of Malaya36, Vilnius University37, American University of Beirut38, Kwangju Health College39, University of Salzburg40, Utrecht University41, National Computerization Agency42, City University of Hong Kong43, University of Idaho44, University of Zimbabwe45, University of Lisbon46, University of Central Lancashire47, Loyola Marymount University48, University of KwaZulu-Natal49, University of Granada50, University of Botswana51, Babeș-Bolyai University52, University of Cyprus53, University of Belgrade54, KPMG55, University of Montpellier56, University of Zurich57, University of Alabama58, Baylor University59, Queen's University Belfast60, University of Ljubljana61, University of Haifa62, University of La Serena63, Florida Atlantic University64, University of California, Davis65, University of Dar es Salaam66, Ramapo College67, Cyprus College68, Middle East Technical University69, Nicolaus Copernicus University in Toruń70, University of the South Pacific71, Vrije Universiteit Brussel72, University at Albany, SUNY73, University of the Aegean74, University of Lethbridge75, University of Vienna76, University of Hong Kong77, Yuan Ze University78, Charles University in Prague79, Chonnam National University80, Indian Institutes of Technology81
TL;DR: The Big Five Inventory (BFI) is a self-report measure designed to assess the high-order personality traits of Extraversion, Agreeableness, Conscientiousness, Neuroticism, and Openness as discussed by the authors.
Abstract: The Big Five Inventory (BFI) is a self-report measure designed to assess the high-order personality traits of Extraversion, Agreeableness, Conscientiousness, Neuroticism, and Openness. As part of the International Sexuality Description Project, the BFI was translated from English into 28 languages and administered to 17,837 individuals from 56 nations. The resulting cross-cultural data set was used to address three main questions: Does the factor structure of the English BFI fully replicate across cultures? How valid are the BFI trait profiles of individual nations? And how are personality traits distributed throughout the world? The five-dimensional structure was robust across major regions of the world. Trait levels were related in predictable ways to self-esteem, sociosexuality, and national personality profiles. People from the geographic regions of South America and East Asia were significantly different in openness from those inhabiting other world regions. The discussion focuses on limitations of t...
876 citations
01 Feb 2004
TL;DR: The aim of this work is to design classifiers that accept the model-based representation of unseen images and produce an estimate of the age of the person in the corresponding face image, which indicates that machines can estimate theAge of a person almost as reliably as humans.
Abstract: We describe a quantitative evaluation of the performance of different classifiers in the task of automatic age estimation. In this context, we generate a statistical model of facial appearance, which is subsequently used as the basis for obtaining a compact parametric description of face images. The aim of our work is to design classifiers that accept the model-based representation of unseen images and produce an estimate of the age of the person in the corresponding face image. For this application, we have tested different classifiers: a classifier based on the use of quadratic functions for modeling the relationship between face model parameters and age, a shortest distance classifier, and artificial neural network based classifiers. We also describe variations to the basic method where we use age-specific and/or appearance specific age estimation methods. In this context, we use age estimation classifiers for each age group and/or classifiers for different clusters of subjects within our training set. In those cases, part of the classification procedure is devoted to choosing the most appropriate classifier for the subject/age range in question, so that more accurate age estimates can be obtained. We also present comparative results concerning the performance of humans and computers in the task of age estimation. Our results indicate that machines can estimate the age of a person almost as reliably as humans.
610 citations
TL;DR: In this paper, the authors propose the concept of carrying capacity and its importance as a management tool in tourism planning and development, and assess the carrying capacity of a region in terms of sociological capacity thresholds.
391 citations
Bradley University1, Pontifical Catholic University of Chile2, University of Tartu3, University of Louisville4, University of Latvia5, University of New Mexico6, Slovak Academy of Sciences7, University of San Carlos8, University of Malta9, Ghent University10, Clemson University11, University of Buenos Aires12, Osaka University13, Illinois State University14, National Autonomous University of Mexico15, University of Brasília16, University of Western Australia17, University of Lima18, Boğaziçi University19, University of Kassel20, University of York21, University of Queensland22, Åbo Akademi University23, Al Akhawayn University24, Indian Institute of Technology Kharagpur25, University of Hawaii at Manoa26, University of Catania27, University of Otago28, University of Dhaka29, Chemnitz University of Technology30, Knox College31, Comenius University in Bratislava32, University of Rijeka33, University of Malaya34, Vilnius University35, American University of Beirut36, Kwangju Health College37, University of Salzburg38, Utrecht University39, National Computerization Agency40, City University of Hong Kong41, University of Idaho42, University of Zimbabwe43, University of Lisbon44, University of Central Lancashire45, Loyola Marymount University46, University of Natal47, University of Granada48, University of Botswana49, University of Jordan50, Babeș-Bolyai University51, University of Cyprus52, University of Belgrade53, KPMG54, University of Montpellier55, University of Zurich56, University of Alabama57, Baylor University58, Queen's University Belfast59, University of Ljubljana60, University of Haifa61, University of La Serena62, Florida Atlantic University63, University of California, Davis64, University of Dar es Salaam65, Ramapo College66, Cyprus College67, Middle East Technical University68, University of the South Pacific69, VU University Amsterdam70, State University of New York System71, University of the Aegean72, Vrije Universiteit Brussel73, University of Lethbridge74, University of Vienna75, University of Hong Kong76, Yuan Ze University77, Charles University in Prague78, Chonnam National University79
TL;DR: In the International Sexuality Description Project, a total of 17,804 participants from 62 cultural regions completed the RelationshipQuestionnaire (RQ), a self-report measure of adult romantic attachment as discussed by the authors.
Abstract: As part of the International Sexuality Description Project, a total of 17,804 participants from 62 cultural regions completedthe RelationshipQuestionnaire(RQ), a self-reportmeasure of adult romanticattachment. Correlational analyses within each culture suggested that the Model of Self and the Model of Other scales of the RQ were psychometrically valid within most cultures. Contrary to expectations, the Model of Self and Model of Other dimensions of the RQ did not underlie the four-category model of attachment in the same way across all cultures. Analyses of specific attachment styles revealed that secure romantic attachment was normative in 79% of cultures and that preoccupied romantic attachment was particularly prevalent in East Asian cultures. Finally, the romantic attachment profiles of individual nations were correlated with sociocultural indicators in ways that supported evolutionary theories of romantic attachment and basic human mating strategies.
314 citations
Authors
Showing all 44 results
| Name | H-index | Papers | Citations |
|---|---|---|---|
| Andreas Efstathiou | 53 | 188 | 12179 |
| Sevil Sönmez | 34 | 92 | 6680 |
| Andreas Lanitis | 27 | 117 | 4864 |
| Sadhana Puntambekar | 21 | 88 | 3110 |
| Spyros Spyrou | 16 | 36 | 1979 |
| Loizos Symeou | 14 | 29 | 814 |
| Stavroula Philippou | 13 | 33 | 639 |
| Athanasios Hadjimanolis | 13 | 23 | 1370 |
| Christos Dimopoulos | 12 | 45 | 836 |
| Maria Meletiou-Mavrotheris | 12 | 60 | 579 |
| George Panayiotou | 11 | 16 | 584 |
| Phoevos Panagiotidis | 10 | 25 | 292 |
| Andreas G. Philaretou | 9 | 27 | 387 |
| Georgios Stylianou | 9 | 25 | 338 |
| Kakia Petinou | 9 | 30 | 288 |