The 11th Symposium on Trends in Functional Programming took place on the University of Oklahoma campus in Norman, Oklahoma, May 17-19, 2010. The program included presentations of 26 papers submitted by researchers from six nations and an invited talk by J. Strother Moore on machine reasoning so well received that the question/answer...

Stable and dependable IT services and infrastructures are nowadays of paramount importance not only for modern enterprises but also for home users. However, as distributed information infrastructures continue to spread and grow, resulting in Internet-based, wireless and mobile systems, traditional solutions for managing and...

Clustering is an important unsupervised classification technique where a set of patterns, usually vectors in multidimensional space, are grouped into clusters based on some similarity or dissimilarity criteria. In crisp clustering, each pattern is assigned to exactly one cluster, whereas in fuzzy clustering, each pattern is given a...

While SAS and SPSS have many things in common, R is very different. My goal in writing this book is to help you translate what you know about SAS or SPSS into a working knowledge of R as quickly and easily as possible. I point out how they differ using terminology with which you are familiar, and show you which add-on packages will...

Conventional object-oriented data models are "closed". Although they allow users to define application-specific classes, they usually come with a fixed set of modeling primitives. This constitutes a major problem as different application domains have different requirements on a data model. For example, database integration...

It is my pleasure and privilege to write the foreword for this book, whose results I have been following and awaiting for the last few years. This monograph represents the outcome of an ambitious project oriented towards advancing our knowledge of the way the human visual system processes images, and about the way it combines high...

Image data compression is concerned with minimization of the number of information carrying units used to represent an image. Image compression schemes can be divided into two broad classes: lossless compression schemes and lossy compression schemes. Lossless compression techniques, as their name implies aim at exact reconstruction...

We are all familiar with the time-honored idea of a Virtual Machine that is neutral with respect to computer architecture and can be used to execute a high-level language, after its translation to the VM byte-code. This approach can be found in several successful mono-language systems, that support popular languages such as Java or...

Augmented reality (AR) is a direct or indirect view of real world scenes in which physical objects are annotated with, or overlaid by computer generated digital information. The past two decades have seen a fast growing body of research and development dedicated to techniques and technologies for AR. In particular, due to the recent...

Soft Computing (SC) techniques have been recognized nowadays as attractive solutions for modeling highly nonlinear or partially defined complex systems and processes. These techniques resemble biological processes more closely than conventional (more formal) techniques. However, despite its increasing popularity, soft computing lacks...

The ISD conference evolved from the first Polish-Scandinavian Seminar on Current Trends in Information Systems...

Word sense disambiguation is a core research problem in computational linguistics, which was recognized at the beginning of the scientific interest in machine translation and artificial intelligence. And yet no book has been fully devoted to review the wide variety of approaches to solving the problem. The time is right for such a...