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The contribution describes the application of the Team 'Computational Intelligence Group' from the University of Applied Sciences Mittweida (Germany) to the ICMLA Face Recognition Challenge 2012. In particular we explain the data preprocessing and feature extraction, which was applied before classification learning. Further we give details about the used classification algorithm - the enhanced generalized...
Context-aware information retrieval received a significant attention last years. This paper addresses some of the challenges in context acquisition. It is focused on a method for inference of unavailable contextual information using machine learning. The method for context inference is based on observed behaviour of individual user and virtual communities of similar users. We work with contextual...
Semantic similarity measures aim at computing a value that represents to what extent two semantic resources are similar. This paper proposes an extension of a semantic similarity measure for large linked data sources such as DBPedia. In order to evaluate and compare similarity measures, an experiment is described to collect human evaluations of the similarity between pairs of movies. A correlation...
We are now developing a Japanese speaking test called SCAT, which is part of J-CAT (Japanese Computerized Adaptive Test), a free online proficiency test for Japanese language learners. In this paper, we focus on the sentence-reading-aloud task and the sentence generation task in SCAT, and propose an automatic scoring method for estimating the overall score of answer speech, which is holistically determined...
Speech dialogue systems, such as Apple's “Siri,” have gradually become more widespread, and in the near future, a greater number of general users will have the opportunity to communicate with such systems. To facilitate this, it is necessary for the system to communicate more naturally with users, and to realize that both verbal and nonverbal information must be taken into consideration. Therefore,...
This study focuses on the negotiation in the financial markets, specifically in programming an algorithm to trade automatically (without human intervention) in the foreign exchange market (Forex). The platform used in this study was the Meta Trader (version 5), which allows for this kind of negotiation. The main objective was to conclude about the effectiveness of anewly developed strategy for automatic...
Human beings are involved in a broad range of social relationships spanning from real life experiences to online media and social networks. This is leading people to act in a multilayered complex network whose relationships among different layers have still to be analyzed and understood in depth. In this paper, we focus on this problem by comparing and overlapping the online sociality (Facebook network)...
Attention-deficit/hyperactivity disorder (ADHD) is a neuropsychiatric disorder which is quite common in childhood, with an estimated prevalence of 5–8%, and often persists into adolescence and adulthood. It is further characterized as inappropriate developmentally symptoms of inattention, impulsiveness, motor over-activity and restlessness. The aim of this study is to evaluate the feasibility of diagnosing...
We present a methodology to investigate the structure of dynamic networks in terms of concentration of changes in the network. We handle dynamic networks as series of graphs on a fixed set of nodes and consider the changes occurring between two consecutive graphs in the series. We apply our methodology to various dynamic contact networks coming from different contexts and we show that changes in these...
With rapid development of information and communication technology, human behavior has extended to mobile internet. In this paper, we studied posting behavior of micro-blog users in mobile internet. Statistical results suggest that there exist significant negative correlation between inter-event time and social concern. This means that users' interest in posting micro-blogs is influenced by social...
Detecting objects in underwater image sequences and video frames automatically, requires the application of selected algorithms in consecutive steps. Most of these algorithms are controlled by a set of parameters, which need to be calibrated for an optimal detection result. Those parameters determine the effectivity and efficiency of an algorithm and their impact is usually well known. There are however...
There is an overriding interest in measuring the well-being of communities and institutions: healthy (flourishing) individuals and groups perform “better” than those that are not. Capturing the facets of well-being is, however, not straightforward: it contains personal information with sometimes uncomfortable self-realizations associated to it. Yet, the benefit of such data is the ability to observe...
Accurately measuring the location of facial features is an important step in many face recognition algorithms. Every face is unique which means localization needs to be tolerant of differences between individual subjects. Additionally, changing illumination, poor focus, and deformation due to expression changes complicate the problem. This paper introduces a method for locating facial features that...
This paper reports experimental analysis of human characteristic in the lever operation by utilizing the stabilization task of cart-pendulum system. Previous studies have shown that there was a difference in the velocity distribution of the cart in the difference of the skill level. Then, cart-pendulum simulator is newly constructed and training that does the stabilization operation is done for five...
Previous studies have demonstrated that the left hemisphere was specialized in language function using functional magnetic resonance imaging (fMRI). On the other hand, some studies have revealed that the right hemisphere was related with language function. The hypotheses of this study were that (1) the regions related with language function have a bilateral functional network and (2) the level of...
Automated characterization of human actions plays an important role in video indexing and retrieval for many applications. Action change detection is considered among the most necessary element to ensure a good video description. However, it is quite challenging to achieve detection without prior knowledge or training. Usually humans are practicing different actions in the same video and their silhouettes...
In this paper, an approach for semantic compositionbased on space projection operations over basic geometriclexical representations is proposed. Syntactic bi-grams arehere projected in the so called Support Subspace, aimed atemphasizing the semantic features shared by the compoundword. Empirical results are discussed over two tasks: a finegrainedsimilarity estimation task over syntactically typedword...
This paper studies a synthesis of password to be easily identified and hardly forgot. A new synthesis method is proposed to construct a good passwords that satisfy both requirements. Our method focuses on the change of frequency of combined words. Each of two words has a high term frequency but the combination is not quite common and then the frequency of the combined words can give strong impression...
Textual Entailment (TE) is the task of recognizing entailment, paraphrase, and contradiction relations between a given text pair. The goal of textual entailment research is to develop a core inference component that can be applied to various domains, such as IR or NLP. Since the domain that a TE system applies to may be different from its source domain, it is crucial to develop proper datasets for...
Inter-subject correspondence is an important aspect of multi-subject fMRI studies. Recently, a new approach, called hyperalignment, has shown very promising results in fMRI functional alignment. Hyperalignment is based on Procrustean rotations and is connected, mathematically, to canonical correlation analysis. We review the core details of each approach, relate them through an SVD analysis, and indicate...
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