Author: William Hartley
Publisher:
ISBN: 9781841981888
Category : Mathematics
Languages : en
Pages :
Book Description
Shape, space and handling data
Author: William Hartley
Publisher:
ISBN: 9781841981888
Category : Mathematics
Languages : en
Pages :
Book Description
Publisher:
ISBN: 9781841981888
Category : Mathematics
Languages : en
Pages :
Book Description
Measures, Shape, Space and Handling Data
Author: Jeanette Mumford
Publisher:
ISBN: 9780521011402
Category : Geometry
Languages : en
Pages : 0
Book Description
Publisher:
ISBN: 9780521011402
Category : Geometry
Languages : en
Pages : 0
Book Description
Measures, Shape, Space and Handling Data
Measures, Shape, Space and Handling Data
Author: Jeanette Mumford
Publisher:
ISBN: 9780521011587
Category : Geometry
Languages : en
Pages : 88
Book Description
Publisher:
ISBN: 9780521011587
Category : Geometry
Languages : en
Pages : 88
Book Description
Measures, Shape, Space and Handling Data
Functional and Shape Data Analysis
Author: Anuj Srivastava
Publisher: Springer
ISBN: 1493940201
Category : Mathematics
Languages : en
Pages : 454
Book Description
This textbook for courses on function data analysis and shape data analysis describes how to define, compare, and mathematically represent shapes, with a focus on statistical modeling and inference. It is aimed at graduate students in analysis in statistics, engineering, applied mathematics, neuroscience, biology, bioinformatics, and other related areas. The interdisciplinary nature of the broad range of ideas covered—from introductory theory to algorithmic implementations and some statistical case studies—is meant to familiarize graduate students with an array of tools that are relevant in developing computational solutions for shape and related analyses. These tools, gleaned from geometry, algebra, statistics, and computational science, are traditionally scattered across different courses, departments, and disciplines; Functional and Shape Data Analysis offers a unified, comprehensive solution by integrating the registration problem into shape analysis, better preparing graduate students for handling future scientific challenges. Recently, a data-driven and application-oriented focus on shape analysis has been trending. This text offers a self-contained treatment of this new generation of methods in shape analysis of curves. Its main focus is shape analysis of functions and curves—in one, two, and higher dimensions—both closed and open. It develops elegant Riemannian frameworks that provide both quantification of shape differences and registration of curves at the same time. Additionally, these methods are used for statistically summarizing given curve data, performing dimension reduction, and modeling observed variability. It is recommended that the reader have a background in calculus, linear algebra, numerical analysis, and computation.
Publisher: Springer
ISBN: 1493940201
Category : Mathematics
Languages : en
Pages : 454
Book Description
This textbook for courses on function data analysis and shape data analysis describes how to define, compare, and mathematically represent shapes, with a focus on statistical modeling and inference. It is aimed at graduate students in analysis in statistics, engineering, applied mathematics, neuroscience, biology, bioinformatics, and other related areas. The interdisciplinary nature of the broad range of ideas covered—from introductory theory to algorithmic implementations and some statistical case studies—is meant to familiarize graduate students with an array of tools that are relevant in developing computational solutions for shape and related analyses. These tools, gleaned from geometry, algebra, statistics, and computational science, are traditionally scattered across different courses, departments, and disciplines; Functional and Shape Data Analysis offers a unified, comprehensive solution by integrating the registration problem into shape analysis, better preparing graduate students for handling future scientific challenges. Recently, a data-driven and application-oriented focus on shape analysis has been trending. This text offers a self-contained treatment of this new generation of methods in shape analysis of curves. Its main focus is shape analysis of functions and curves—in one, two, and higher dimensions—both closed and open. It develops elegant Riemannian frameworks that provide both quantification of shape differences and registration of curves at the same time. Additionally, these methods are used for statistically summarizing given curve data, performing dimension reduction, and modeling observed variability. It is recommended that the reader have a background in calculus, linear algebra, numerical analysis, and computation.
Measures, Shape, Space and Handling Data
Author:
Publisher:
ISBN: 9780521784986
Category : Geometry
Languages : en
Pages : 0
Book Description
Publisher:
ISBN: 9780521784986
Category : Geometry
Languages : en
Pages : 0
Book Description
Measures, Shape, Space and Handling Data
Author: Jane Crowden
Publisher:
ISBN: 9780521798235
Category : Education
Languages : en
Pages : 16
Book Description
The answer book for Cambridge Mathematics Direct Year 3: Measures, Shape, Space and Handling Data.
Publisher:
ISBN: 9780521798235
Category : Education
Languages : en
Pages : 16
Book Description
The answer book for Cambridge Mathematics Direct Year 3: Measures, Shape, Space and Handling Data.
Shape, space, measures and handling data teacher's file
Author: Tony Cotton
Publisher: Longman
ISBN: 9780582818651
Category : Geometry
Languages : en
Pages : 248
Book Description
Each lesson provides clear plans for the daily mathematics lesson with the objectives and the key idea stated. The lessons offer a choice of oral and mental starters, guidance for whole class teaching and support with delivering differentiated pupils' activities.
Publisher: Longman
ISBN: 9780582818651
Category : Geometry
Languages : en
Pages : 248
Book Description
Each lesson provides clear plans for the daily mathematics lesson with the objectives and the key idea stated. The lessons offer a choice of oral and mental starters, guidance for whole class teaching and support with delivering differentiated pupils' activities.
Measures and Handling Data
Author: Stephen J. Chinn
Publisher:
ISBN: 9781899998623
Category : Arithmetic
Languages : en
Pages : 80
Book Description
Publisher:
ISBN: 9781899998623
Category : Arithmetic
Languages : en
Pages : 80
Book Description