ITK Neural Networks IO Classes
Venkatram R.
University of North Carolina at Chapel Hill

Please use this identifier to cite or link to this publication: http://hdl.handle.net/1926/203
Classes to provide IO capabilities for the ITK Neural Networks library.
Data
minus 2 Files (140Kb)
Code
minus Automatic Testing Results by Insight-Journal Dashboard on Fri Aug 25 09:15:53 2006 for revision #8
starstarstarstarstar expertise: 5 sensitivity: 4
yellow This project passed all of its tests.
Click here for more details.

Go here to access the main testing dashboard.
plus Automatic Testing Results by Insight-Journal Dashboard on Fri Aug 25 09:09:16 2006 for revision #7
starstarstarstarstar expertise: 5 sensitivity: 5
plus Automatic Testing Results by Insight-Journal Dashboard on Fri Aug 25 09:07:12 2006 for revision #6
starstarstarstarstar expertise: 5 sensitivity: 5
plus Automatic Testing Results by Insight-Journal Dashboard on Fri Aug 25 08:57:53 2006 for revision #5
starstarstarstarstar expertise: 5 sensitivity: 5
plus Automatic Testing Results by Insight-Journal Dashboard on Fri Aug 25 08:53:53 2006 for revision #4
starstarstarstarstar expertise: 5 sensitivity: 5
plus Automatic Testing Results by Insight-Journal Dashboard on Fri Aug 25 08:37:41 2006 for revision #3
starstarstarstarstar expertise: 5 sensitivity: 5
plus Automatic Testing Results by Insight-Journal Dashboard on Fri Aug 25 08:35:33 2006 for revision #2
starstarstarstarstar expertise: 5 sensitivity: 5
plus Automatic Testing Results by Insight-Journal Dashboard on Fri Aug 18 15:16:46 2006 for revision #1
starstarstarstarstar expertise: 5 sensitivity: 5

Reviews
minus Useful IO classes for ITK neural network framework users by Andinet Enquobahrie on 01-21-2007 for revision #8
starstarstarstarstar expertise: 3 sensitivity: 4
yellow

 Purpose:

The classes will help users of ITK Neural Network framework to load and save neural network configuration and network parameters to a text file.  Separate reader and writer classes have been provided.

Comments on the implementation:

The implementation doesn't comply fully with ITK coding standard.  The major issues  are the following.

1) Constant-correctness was not kept.  For example, public methods that return member varibales haven't

    been declared as const.

2) Declarations of public/protected member variables  

3) Declarations of unused variables 

4) Code style issues such as 

        - Broken indentations

        - Private member variables naming scheme

        - Single line if clauses with no braces 

 

Several of these issues have been fixed when the classes were included to the ITK CVS review directory.

 

 

 

  

 

 

Add a new review
Quick Comments


Resources
backyellow
Download Package
Download Paper, View Paper

Statistics more
backyellow
Global rating: starstarstarstarstar
Review rating: starstarstarstarstar [review]
Code rating: starstarstarstarstar
Paper Quality: plus minus

Information more
backyellow
Keywords: Neural Networks, IO,
Toolkit: ITK (moved into the sandbox)
Export citation:

Share
backyellow
Share

Associated Publications more
backyellow
Reader/Writer for Analyze Object Maps for ITK

View license
Loading license...

Send a message to the author
main_flat
Powered by Midas