
Sandor Szedmak- Aalto University
Sandor Szedmak
- Aalto University
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115
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Publications (115)
This study proposes to assess the differences of two psychosocial risk indicators for coronary artery disease (CAD), ie, depressive symptoms and vital exhaustion.
In a representative, stratified, nation-wide sample of the population of Hungary over the age of 16 years (N = 12,640), analyses were made of whether those risk indicators were differenti...
In our study 16 patients suffering in asthma bronchiale were compared with 16 healthy controls in relating to hemispherical activational dominance assessed by the analysing of electrodermal response features. In accordance with others' findings our results show that the asthmatic patients' group as a whole have more activated right hemisphere compa...
In recent years the role of hyperventilation in the generation of panic attacks has attracted a considerable amount of interest. According to these studies hyperventilation can elicit the somatic symptoms of panic due to systemic alkalosis. We suggest that since in the case of panic, sweating might cause alkalosis, it could also contribute to the g...
INTRODUCTION - On the basis of a national representative survey the authors analysed the prevalence of depressive symptomatology in the Hungarian population over the age of 16. METHODS - Using the same sampling and examination techniques, in 1988 21 000 while in 1995 12 370 persons were interviewed with questionnaires. The questions aimed at their...
We analysed the relationships between socioeconomic factors, severity of depressive symptomatology, and sickness absence rate in an active (working and studying) population of 20,902 persons representative of the Hungarian population over the age of 16 by age, sex, and place of residence. The severity of depression was very closely correlated with...
We derive a general Convex Linearly Con- strained Program (CLCP) parameterized by a matrix G, constructed from the informa- tion given by the input-output pairs. The CLCP then chooses a set of regularization and loss functions in order to impose con- straints for the learning task. We show that several algorithms, including the SVM, LP- Boost, Ridg...
One of the most hard tasks in image classification to find a method being applicable on large scale multi-class problems where the sample size and number of the features are huge. Linear discriminant analysis as a classical method for multi-class classification, which was introduced by Fisher (1936) (4), plays an im- portant role in the machine lea...
ABSTRACT FACULTY OF ENGINEERING, SCIENCE AND MATHEMATICS SCHOOL OF ELECTRONICS AND COMPUTER SCIENCE IMAGE, SPEECH AND INTELLIGENT SYSTEMS GROUP by David R. Hardoon, Sandor Szedmak & John S. Shawe-Taylor Online images and their surrounding text present a particularly complex problem in
In this paper we propose an approach to automatically annotate query images with keywords. We use kernel Canonical Correlation Analysis to learn a semantic representation between images and their associated documents. The semantic space provides a common representation and enables a comparison between the documents and images. This represen- tation...
"Graduate Program in Operations Research." Thesis (Ph. D.)--Rutgers University, 2002. Includes abstract. Vita. Includes bibliographical references (leaves 115-118).