Bataan Peninsula State University

Parametric and nonparametric inference for statistical dynamic shape analysis with applications (Record no. 11704)

MARC details
000 -LEADER
fixed length control field 02504nam a2200229 a 4500
001 - CONTROL NUMBER
control field 41279
003 - CONTROL NUMBER IDENTIFIER
control field 0000000000
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240411193024.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 210503n s 000 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 978-3-319-26310-6
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Brombin, Chiara.
245 10 - TITLE STATEMENT
Title Parametric and nonparametric inference for statistical dynamic shape analysis with applications
Medium [electronic resource] /
Statement of responsibility, etc. Chiara Brombin....[et.al].
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Cham :
Name of publisher, distributor, etc. Cham,
Date of publication, distribution, etc. 2016.
520 ## - SUMMARY, ETC.
Summary, etc. This book considers specific inferential issues arising from the analysis of dynamic shapes with the attempt to solve the problems at hand using probability models and nonparametric tests. The models are simple to understand and interpret and provide a useful tool to describe the global dynamics of the landmark configurations. However, because of the non-Euclidean nature of shape spaces, distributions in shape spaces are not straightforward to obtain. The book explores the use of the Gaussian distribution in the configuration space, with similarity transformations integrated out. Specifically, it works with the offset-normal shape distribution as a probability model for statistical inference on a sample of a temporal sequence of landmark configurations. This enables inference for Gaussian processes from configurations onto the shape space. The book is divided in two parts, with the first three chapters covering material on the offset-normal shape distribution, and the remaining chapters covering the theory of NonParametric Combination (NPC) tests. The chapters offer a collection of applications which are bound together by the theme of this book. They refer to the analysis of data from the FG-NET (Face and Gesture Recognition Research Network) database with facial expressions. For these data, it may be desirable to provide a description of the dynamics of the expressions, or testing whether there is a difference between the dynamics of two facial expressions or testing which of the landmarks are more informative in explaining the pattern of an expression.
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Mathematical statistics.
Source of heading or term sears
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Fontanella, Lara,
Relator term author.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Fusilli, Caterina,
Relator term author.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Ippoliti, Luigi,
Relator term author.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Salmaso, Luigi,
Relator term author.
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://drive.google.com/file/d/1pfKJyuI8iYov-VU2UCWKt_us4zd4snNM/view?usp=sharing">https://drive.google.com/file/d/1pfKJyuI8iYov-VU2UCWKt_us4zd4snNM/view?usp=sharing</a>
Holdings
Withdrawn status Lost status Damaged status Not for loan Home library Current library Shelving location Date acquired Full call number Barcode Date last seen Price effective from Koha item type
        Main Library Main Library E-Resources 05/03/2021 519.5 P222 E002840 03/07/2024 03/07/2024 E-Resources
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