The main area of work in computer music related to information systems is known as music information retrieval (MIR). Databases containing musical information can be classified into two main groups: those containing audio data (digitized music) and those that file symbolic data (digital music scores). The latter are much more abstract that the former ones and contain a lot of information alread...

In Pattern Recognition, there is a vast literature concerning the question how to detect whether two curves are similar. Essentially, the problem is to recognize a certain curve as the result of applying a movement to another curve in a database. Most of the strategies proposed so far deal with curves in implicit form, and ultimately resort to numerics to decide whether such curves are related ...

In the Danish CLARIN-DK infrastructure, chaining language technology (LT) tools into a workflow is easy even for a non-expert user, because she only needs to specify the input and the desired output of the workflow. With this information and the registered input and output profiles of the available tools, the CLARIN-DK workflow management system (WMS) computes combinations of tools that will gi...

Symbolic arrays are hierarchical constraint-based representations that preserve direction relations (e.g., north, northeast) among the distinct components of complex spatial entities. They have been used in problems involving pattern matching and spatial information retrieval. In this paper we demonstrate how inference can be achieved in geographic databases of symbolic arrays using composition...

This paper describes the use of decision tree and rule induction in data mining applications. Of methods for classi cation and regression that have been developed in the elds of pattern recognition, statistics, and machine learning, these are of particular interest for data mining since they utilize symbolic and interpretable representations. Symbolic solutions can provide a high degree of insi...

In natural language technology up to now most projects were based on either logical and linguistic methods or they were strictly based on stochastic techniques alone borrowed from pattern recognition. This article discusses hybrid symbolic and stochastic techniques in natural language processing as they are currently explored in many projects and in particular in our work within the Verbmobil p...

1 Abstract Intelligent systems are nature-inspired, mathematically sound, computationally intensive problem solving tools and methodologies that have become extremely important for advancing the current trends in information technology. Artificially intelligent systems currently utilize computers to emulate various faculties of human intelligence and biological metaphors. They use a combination...

McCrink (McCrink, Dehaene, & Dehaene-Lambertz (2007). Moving along the number line: Operational momentum in nonsymbolic arithmetic. Perception and Psychophysics, 69(8), 1324-1333) documented an "Operational Momentum" (OM) effect - overestimation of addition and underestimation of subtraction outcomes in non-symbolic (dot pattern) arithmetic. We investigated whether OM also occurs with Arabic nu...

In this paper we present the Mobile computing with AGents and Publish subscribe for Intelligent pervasive hEalthcare (MAGPIE) platform. MAGPIE is an agent platform designed for the Android OS. The aim of the platform is to simplify the definition of Personal Health Systems (PHSs) to monitor chronic diseases. The agents running in the platform use a symbolic reasoning approach to formalize the e...

this article reviews the ancient symbolic world, shia and modernity believes in iranian’s mind which are historical link between ancient symbolic world and shie. since the late nineteenth century with the modernization, for exampel civilization, constitutional movement and palavi government, gap created in iranians mind. dispite this gap, iranians mind have symbolic characteristics and are not ...