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COGNITIVE APPROACH TO MUSICAL DATA ANALYSIS
Digital signal processing is one of the most rapidly develo** areas of science. With the explosive expansion of the Internet, the number of very...
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An Algorithm to Calculate the Expected Value of an Ongoing User Session
The fiercely competitive web-based electronic commerce environment has made necessary the application of intelligent methods to gather and analyze...
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Fast Color Texture-Based Object Detection in Images: Application to License Plate Localization
The current chapter presents a color texture-based method for object detection in images. A support vector machine (SVM) is used to classify each...
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Gas Sensing Using Support Vector Machines
In this chapter we deal with the use of Support Vector Machines in gas sensing. After a brief introduction to the inner workings of multisensor...
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Support Vector Machines – An Introduction
This is a book about learning from empirical data (i.e., examples, samples, measurements, records, patterns or observations) by applying support...
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Improving the Performance of the Support Vector Machine: Two Geometrical Scaling Methods
In this chapter, we discuss two possible ways of improving the performance of the SVM, using geometric methods. The first adapts the kernel by...
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From Classical Connectionist Models to Probabilistic/Generalised Regression Neural Networks (PNNs/GRNNs)
This chapter begins by briefly summarising some of the well-known classical connectionist/artificial neural network models such as multi-layered...
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Language and Thinking Modules
In this chapter, we focus upon the two modules which are closely tied to the concept of “action planning”, i.e. the 1) language and 2) thinking...
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Sensation and Perception Modules
In any kind of creature, both the mechanisms of sensation and perception are indispensable for continuous living, e.g. to find edible plants/fruits...
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The Mathematics of Learning: Dealing with Data *
Learning is key to develo** systems tailored to a broad range of data analysis and information extraction tasks. We outline the mathematical...
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Web Page Classification*
This chapter describes systems that automatically classify web pages into meaningful categories. It first defines two types of web page...
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Sequential Pattern Mining by Pattern-Growth: Principles and Extensions*
Sequential pattern mining is an important data mining problem with broad applications. However, it is also a challenging problem since the mining may...
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Structural Solutions to Disturbance Decoupling
This chapter develops a novel algorithm which solves the disturbance decoupling problem by repeatedly decoupling one output variable at a time. The...
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Content Based Image Compression in Biomedical High-Throughput Screening Using Artificial Neural Networks
Biomedical High-Throughput Screening (HTS) requires specific properties of image compression. Particularly especially when archiving a huge number of...
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A C + + Parser for VOTables
This paper provides a brief description of C + + Parser for VOTables. The parser is developed by Persistent Systems in association with IUCAA as part...
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Visualisation Tools for Very Large Amounts of Data
Can we perceive a billion stars? How would you go about classifying them? How quantitatively good would your analysis be? How reliable would your...
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Building the Infrastructure for the National Virtual Observatory: An Information Technology Research Initiative of the National Science Foundation
The U.S. National Science Foundation is sponsoring the development of the infrastructure for the National Virtual Observatory via its Information...
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Federation and Fusion of Astronomical Information: Standards and Tools for the Virtual Observatories
We present a review of the current organization of astronomical archives and data centers in terms of data federation. We point the challenges faced,...
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Meeting the User Science Challenge for a Virtual Universe
The AstroGrid project, a core UK eScience programme, is rapidly implementing the UK’s contribution to the global drive towards the Virtual...