Search results for "VDP::Mathematics and natural science: 400::Information and communication science: 420"
showing 10 items of 102 documents
Tracking the Preferences of Users Using Weak Estimators
2011
Published version of am article from the book:AI 2011: Advances in Artificial Intelligence. Also available from the publisher on SpringerLink:http://dx.doi.org/10.1007/978-3-642-25832-9_81 Since a social network, by definition, is so diverse, the problem of estimating the preferences of its users is becoming increasingly essential for personalized applications which range from service recommender systems to the targeted advertising of services. However, unlike traditional estimation problems where the underlying target distribution is stationary, estimating a user’s interests, typically, involves non-stationary distributions. The consequent time varying nature of the distribution to be trac…
Fuzzy reliable tracking control for flexible air-breathing hypersonic vehicles
2011
Published version of an article in the journal: International Journal of Fuzzy Systems. Also available from the publisher: http://www.ijfs.org.tw/ In this paper, we present a fuzzy reliable tracking control design method for flexible air-breathing hypersonic vehicles (FAHVs) subject to disturbances and possible sensor/actuator failures. This problem is challenging due to the strong coupling effects, variable operating conditions and possible failures in FAHVs. First, Takagi-Sugeno (T-S) fuzzy model isused to represent the longitudinal dynamics model of FAHVs. Then, by considering the disturbances and the faults, the fuzzy reliable tracking problem is proposed, and the tracking control probl…
Networking logistic neurons can yield chaotic and pattern recognition properties
2011
Accepted version of an article the book: 2011 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications (CIMSA) Proceedings. Published version available from IEEE: http://dx.doi.org/10.1109/CIMSA.2011.6059914 Over the last few years, the field of Chaotic Neural Networks (CNNs) has been extensively studied because of their potential applications in the understanding/recognition of patterns and images, their associative memory properties, their relationship to complex dynamic system control, and their capabilities in the modeling and analysis of other measurement systems. However, the results concerning CNNs which can demonstrate chaos, quasi-chaos, …
Multi-class pairwise linear dimensionality reduction using heteroscedastic schemes
2010
Accepted version of an article published in the journal: Pattern Recognition. Published version on Sciverse: http://dx.doi.org/10.1016/j.patcog.2010.01.018 Linear dimensionality reduction (LDR) techniques have been increasingly important in pattern recognition (PR) due to the fact that they permit a relatively simple mapping of the problem onto a lower-dimensional subspace, leading to simple and computationally efficient classification strategies. Although the field has been well developed for the two-class problem, the corresponding issues encountered when dealing with multiple classes are far from trivial. In this paper, we argue that, as opposed to the traditional LDR multi-class schemes…
On Optimizing Locally Linear Nearest Neighbour Reconstructions Using Prototype Reduction Schemes
2010
Published version of an article from the Book: AI 2010: Advances in Artificial Intelligence, Spinger. Also available on Springerlink: http://dx.doi.org/10.1007/978-3-642-17432-2_16 This paper concerns the use of Prototype Reduction Schemes (PRS) to optimize the computations involved in typical k-Nearest Neighbor (k-NN) rules. These rules have been successfully used for decades in statistical Pattern Recognition (PR) applications, and have numerous applications because of their known error bounds. For a given data point of unknown identity, the k-NN possesses the phenomenon that it combines the information about the samples from a priori target classes (values) of selected neighbors to, for …
A two-armed bandit collective for examplar based mining of frequent itemsets with applications to intrusion detection
2011
Chapter from the book: Computational Collective Intelligence. Technologies and Applications. Also available from the publisher at SpringerLink: http://dx.doi.org/10.1007/978-3-642-23935-9_7 Over the last decades, frequent itemset mining has become a major area of research, with applications including indexing and similarity search, as well as mining of data streams, web, and software bugs. Although several efficient techniques for generating frequent itemsets with a minimum support (frequency) have been proposed, the number of itemsets produced is in many cases too large for effective usage in real-life applications. Indeed, the problem of deriving frequent itemsets that are both compact an…
Following the WCAG 2.0 techniques: Experiences from designing a WCAG 2.0 checking tool
2012
Published version of a chapter in the book: Computers Helping People with Special Needs. Also available from the publisher at: http://dx.doi.org/10.1007/978-3-642-31522-0_63 This paper presents a conceptual analysis of how the Web Content Accessibility Guidelines (WCAG) 2.0 and its accompanying documents can be used as a basis for the implementation of an automatic checking tool and the definition of a web accessibility metric. There are two major issues that need to be resolved to derive valid and reliable conclusions from the output of individual tests. First, the relationship of Sufficient Techniques and Common Failures has to be taken into account. Second, the logical combination of the…
Decision-cache based XACML authorisation and anonymisation for XML documents
2012
Author's version of an article in the journal: Computer Standards and Interfaces. Also available from the publisher at: http://dx.doi.org/10.1016/j.csi.2011.10.007 This paper describes a decision cache for the eXtensible Access Control Markup Language (XACML) that supports fine-grained authorisation and anonymisation of XML based messages and documents down to XML attribute and element level. The decision cache is implemented as an XACML obligation service, where a specification of the XML elements to be authorised and anonymised is sent to the Policy Enforcement Point (PEP) during initial authorisation. Further authorisation of individual XML elements according to the authorisation specifi…
Optimal “anti-Bayesian” parametric pattern classification using Order Statistics criteria
2012
Published version of a chapter in the book: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. Also available from the publisher at: http://dx.doi.org/10.1007/978-3-642-33275-3_1 The gold standard for a classifier is the condition of optimality attained by the Bayesian classifier. Within a Bayesian paradigm, if we are allowed to compare the testing sample with only a single point in the feature space from each class, the optimal Bayesian strategy would be to achieve this based on the (Mahalanobis) distance from the corresponding means. The reader should observe that, in this context, the mean, in one sense, is the most central point in the respective distrib…
Banknæringens digitale hamskifte : en kvalitativ studie om DNBs digitalisering i møtet med eldre kunder
2016
Masteroppgave samfunnskommunikasjon- Universitetet i Agder, 2016 The purpose of this thesis is to better understand the digitization of the banking sector in Norway and how it affects the relationship between the bank and older customers. One of the reasons being that there are few examples of Norwegian research on the elderly and their use of Information and Communications-Technology (ICT). The theoretical approach is interdisciplinary, combining theory from fields such as information systems theory (Technology Acceptance Model), conceptual design theory (Service design) and sociological theory (Socialgerontology). Using a qualitative research method I interviewed four elderly customers of…