Coverart for item
The Resource Advances in Intelligent Signal Processing and Data Mining : Theory and Applications, edited by Petia Georgieva, Lyudmila Mihaylova, Lakhmi C Jain, (electronic resource)

Advances in Intelligent Signal Processing and Data Mining : Theory and Applications, edited by Petia Georgieva, Lyudmila Mihaylova, Lakhmi C Jain, (electronic resource)

Label
Advances in Intelligent Signal Processing and Data Mining : Theory and Applications
Title
Advances in Intelligent Signal Processing and Data Mining
Title remainder
Theory and Applications
Statement of responsibility
edited by Petia Georgieva, Lyudmila Mihaylova, Lakhmi C Jain
Creator
Contributor
Editor
Subject
Language
eng
Summary
The book presents some of the most efficient statistical and deterministic methods for information processing and applications in order to extract targeted information and find hidden patterns. The techniques presented range from Bayesian approaches and their variations such as sequential Monte Carlo methods, Markov Chain Monte Carlo filters, Rao Blackwellization, to the biologically inspired paradigm of Neural Networks and decomposition techniques such as Empirical Mode Decomposition, Independent Component Analysis and Singular Spectrum Analysis. The book is directed to the research students, professors, researchers and practitioners interested in exploring the advanced techniques in intelligent signal processing and data mining paradigms
http://library.link/vocab/creatorName
Georgieva, Petia
Image bit depth
0
Literary form
non fiction
http://library.link/vocab/relatedWorkOrContributorName
  • Mihaylova, Lyudmila.
  • Jain, Lakhmi C.
  • SpringerLink (Online service)
Series statement
Springer eBooks.
http://library.link/vocab/subjectName
  • Engineering
  • Artificial intelligence
Label
Advances in Intelligent Signal Processing and Data Mining : Theory and Applications, edited by Petia Georgieva, Lyudmila Mihaylova, Lakhmi C Jain, (electronic resource)
Link
https://eui.idm.oclc.org/login?url=http://dx.doi.org/10.1007/978-3-642-28696-4
Instantiates
Publication
Antecedent source
mixed
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier.
Color
not applicable
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent.
Contents
From the content: Introduction to Intelligent Signal Processing and Data Mining -- Monte Carlo-Based Bayesian Group Object Tracking and Causal Reasoning -- A Sequential Monte Carlo Method for Multi-Target Tracking with the Intensity Filter -- Sequential Monte Carlo Methods for Localisation inWireless Networks -- A Sequential Monte Carlo Approach for Brain Source Localization
Control code
SPRINGER978-3-642-28696-4
Dimensions
unknown
Extent
XIV, 354 p.
File format
multiple file formats
Form of item
electronic
Governing access note
Use of this electronic resource may be governed by a license agreement which restricts use to the European University Institute community. Each user is responsible for limiting use to individual, non-commercial purposes, without systematically downloading, distributing, or retaining substantial portions of information, provided that all copyright and other proprietary notices contained on the materials are retained. The use of software, including scripts, agents, or robots, is generally prohibited and may result in the loss of access to these resources for the entire European University Institute community
Isbn
9783642286964
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia.
Media type code
  • c
Other control number
10.1007/978-3-642-28696-4
Other physical details
online resource.
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
  • (Sirsi) i9783642286964
  • (OCoLC)805127658
Label
Advances in Intelligent Signal Processing and Data Mining : Theory and Applications, edited by Petia Georgieva, Lyudmila Mihaylova, Lakhmi C Jain, (electronic resource)
Link
https://eui.idm.oclc.org/login?url=http://dx.doi.org/10.1007/978-3-642-28696-4
Publication
Antecedent source
mixed
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier.
Color
not applicable
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent.
Contents
From the content: Introduction to Intelligent Signal Processing and Data Mining -- Monte Carlo-Based Bayesian Group Object Tracking and Causal Reasoning -- A Sequential Monte Carlo Method for Multi-Target Tracking with the Intensity Filter -- Sequential Monte Carlo Methods for Localisation inWireless Networks -- A Sequential Monte Carlo Approach for Brain Source Localization
Control code
SPRINGER978-3-642-28696-4
Dimensions
unknown
Extent
XIV, 354 p.
File format
multiple file formats
Form of item
electronic
Governing access note
Use of this electronic resource may be governed by a license agreement which restricts use to the European University Institute community. Each user is responsible for limiting use to individual, non-commercial purposes, without systematically downloading, distributing, or retaining substantial portions of information, provided that all copyright and other proprietary notices contained on the materials are retained. The use of software, including scripts, agents, or robots, is generally prohibited and may result in the loss of access to these resources for the entire European University Institute community
Isbn
9783642286964
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia.
Media type code
  • c
Other control number
10.1007/978-3-642-28696-4
Other physical details
online resource.
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
  • (Sirsi) i9783642286964
  • (OCoLC)805127658

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