Machine audition is the field of the study of algorithms and systems for the automatic analysis and
understanding of sound by machine. It plays an important role in many applications, such as automatic
audio indexing for internet searching, robust speech recognition in un-controlled natural environment,
untethered audio communication...
The history of software development paradigms suggests that a new paradigm often
has its genesis in programming languages and then moves up to design and analysis
(e.g., structured programming preceded structured design and analysis, and objectoriented
programming predated object-oriented design and modeling). This same
pattern can...
The phenomenal growth of the Internet has resulted in the availability of
huge amounts of online information, a situation that is overwhelming to
the end-user. To overcome this problem personalization technologies have
been extensively employed across several domains to provide assistance in
filtering, sorting, classifying and sharing...
While books and journals of high quality have proliferated in discrete and compu-
tational geometry during recent years, there has been to date no single reference
work fully accessible to the nonspecialist as well as to the specialist, covering all
the major aspects of both fields. The Handbook of Discrete and Computational
Geometry...
Scientists in the throes of research use an extensive data bank to access structural information on proteins and nucleic acids. Meanwhile, geneticists use a highly specialized form of software to analyze the hybridization pattern of DNA chips.
The past decade has been tremendously successful for biotechnology and pharmaceutical...
Distributed with every copy of Python, the standard library contains hundreds of modules that provide tools for interacting with the operating system, interpreter, and Internet. All of them are tested and ready to be used to jump start the development of your applications. This book presents selected examples demonstrating how to use the most...
Our interest in human–computer interaction started with our participation in the TT2
project (“Trans–Type-2”, 2002–2005—http://www.tt2.atosorigin.es), funded by the
European Union (EU) and coordinated by Atos Origin, which dealt with the development
of statistical-based technologies for computer...
Approximation methods are of vital importance in many challenging applications
from computational science and engineering. This book collects papers
from world experts in a broad variety of relevant applications of approximation
theory, including pattern recognition and machine learning, multiscale modelling
of fluid flow, metrology,...
Neural Networks, Second Edition provides a complete introduction to neural networks. It describes what they are, what they can do, and how they do it. While some scientific background is assumed, the reader is not expected to have any prior knowledge of neural networks. These networks are explained and discussed by means of examples, so that...
Since the first part of the twentieth century, cybernetics and systems research have been developed as
scientific disciplines. Investigations, launched in the area of cybernetics, previously dealt with control
and information processing. In a more narrow sense, they consisted in the consideration of analogies
of the control and the...
Anybody following the discussions around “Web Services” in recent years is aware
of the fuzzy definition of the term, and a little bit of history can quite easily explain
some of the confusions around current terminology (or use of terminology). The
general idea of using Web technologies to not only deliver Web pages (HTML...
Mainstream data mining techniques significantly limit the role of human reasoning and insight. Likewise, in data visualization, the role of computational analysis is relatively small. The power demonstrated individually by these approaches to knowledge discovery suggests that somehow uniting the two could lead to increased efficiency and more...
