Skip to content.
|
Skip to navigation
Log In
Contact Us
Report a Bug
Search Site
Connexions
Sections
Home
Content
Lenses
About Us
Help
MyCNX
You are here:
Home
»
Content
Browse by Author:
Stephen Kruzick
View author profile
Return to Browsing Content
|
Search for Content
Content by Stephen Kruzick
Other authors' collections containing modules by Stephen Kruzick
Content based on works by Stephen Kruzick (derived copies)
Content maintained by Stephen Kruzick
(What are
modules
and
collections
?)
Sort by:
Popularity
Language
Revision Date
Title
Type
Results per page:
10
25
100
View:
Detail
|
Compact
|
Statistics
[
1
]
2
3
4
...
6
Next
10
»
A Combinatorial Algorithm for Finding Maximum Cuts
(m30982)
Author:
Stephen Kruzick
Editor:
Stephen Kruzick
Keywords:
algorithm
,
branch and bound
,
combinatorial
,
maxcut
,
maximum cut
,
optimization
Summary:
This report summarizes work done as part of the Wavelet Based Image Analysis PFUG under Rice University's VIGRE program. VIGRE is a program of Vertically Integrated Grants for Research and Education in the Mathematical Sciences under the direction of the National Science Foundation. A PFUG is a group of ... sparse graphs.
[Expand Summary]
This report summarizes work done as part of the Wavelet Based Image Analysis PFUG under Rice University's VIGRE program. VIGRE is a program of Vertically Integrated Grants for Research and Education in the Mathematical Sciences under the direction of the National Science Foundation. A PFUG is a group of Postdocs, Faculty, Undergraduates and Graduate students formed round the study of a common problem. This module provides mathematical background on the maxcut problem and develops an exact branch and bound algorithm for the maximum cut of unweighted graphs that is designed for improved performance on sparse graphs.
[Collapse Summary]
Subject:
Mathematics and Statistics
Language:
English
Popularity:
81.69%
Revised:
2009-08-03
Revisions:
New
A Flag Semaphore Computer Vision System: Acknowledgements
(m33106)
Authors:
Stephen Kruzick
,
Peter Hokanson
,
Seoyeon(Tara) Hong
Keywords:
computer vision
,
ELEC 301
,
flag semaphore
,
Rice University
,
term projects
Summary:
This module acknoledges some of the other people who have contributed to the success of this project.
Subject:
Science and Technology
Language:
English
Popularity:
15.39%
Revised:
2010-05-21
Revisions:
2
A Flag Semaphore Computer Vision System: Future Work
(m33103)
Authors:
Stephen Kruzick
,
Peter Hokanson
,
Seoyeon(Tara) Hong
Keywords:
computer vision
,
ELEC 301
,
flag semaphore
,
Rice University
,
term project
Summary:
This module describes future work that could be done to expand upon that we have completed in this project.
Subject:
Science and Technology
Language:
English
Popularity:
21.86%
Revised:
2010-05-21
Revisions:
2
A Flag Semaphore Computer Vision System: Program Assessment
(m33098)
Authors:
Stephen Kruzick
,
Peter Hokanson
,
Seoyeon(Tara) Hong
Keywords:
computer vision
,
ELEC 301
,
flag semaphore
,
Rice University
,
term project
Summary:
This module evaluates the advantages, disadvantages, and trade-offs involved in this approach to programming a computer vision system for flag semaphore interpretation.
Subject:
Science and Technology
Language:
English
Popularity:
21.15%
Revised:
2010-05-21
Revisions:
2
A Flag Semaphore Computer Vision System: Program Flow
(m33095)
Authors:
Stephen Kruzick
,
Peter Hokanson
,
Seoyeon(Tara) Hong
Keywords:
computer vision
,
ELEC 301
,
flag semaphore
,
Rice University
,
term project
Summary:
This module describes the computational flow of the program written as our flag semaphore computer vision and interpretation system.
Subject:
Science and Technology
Language:
English
Popularity:
78.25%
Revised:
2010-05-21
Revisions:
2
A Flag Semaphore Computer Vision System: Additional Resources
(m33107)
Authors:
Stephen Kruzick
,
Peter Hokanson
,
Seoyeon(Tara) Hong
Keywords:
computer vision
,
ELEC 301
,
flag semaphore
,
Rice University
,
term project
Summary:
This module contains additional resources about flag semaphore or our project.
Subject:
Science and Technology
Language:
English
Popularity:
14.77%
Revised:
2010-05-21
Revisions:
2
A Flag Semaphore Computer Vision System: Conclusions
(m33109)
Authors:
Stephen Kruzick
,
Peter Hokanson
,
Seoyeon(Tara) Hong
Keywords:
computer vision
,
ELEC 301
,
flag semaphore
,
Rice University
,
term project
Summary:
This module concludes the discussion of our computer vision system for the interpretation of flag semaphore signals with a summary of our progress and results.
Subject:
Science and Technology
Language:
English
Popularity:
15.61%
Revised:
2010-05-21
Revisions:
2
A Flag Semaphore Computer Vision System: Demonstration
(m33100)
Authors:
Stephen Kruzick
,
Peter Hokanson
,
Seoyeon(Tara) Hong
Keywords:
computer vision
,
ELEC 301
,
flag semaphore
,
Rice University
,
term project
Summary:
This module contains several example flag semaphore video signals taken as input by the flag semaphore computer vision and interpretation program. The corresponding output video files are also displayed.
Subject:
Science and Technology
Language:
English
Popularity:
39.46%
Revised:
2010-05-21
Revisions:
2
A Flag Semaphore Computer Vision System: Introduction
(m33092)
Authors:
Stephen Kruzick
,
Peter Hokanson
,
Seoyeon(Tara) Hong
Keywords:
Flag Semaphore
,
Signal Processing
Subject:
Science and Technology
Language:
English
Popularity:
24.60%
Revised:
2010-05-21
Revisions:
2
A Flag Semaphore Computer Vision System: TCP/IP
(m33094)
Authors:
Stephen Kruzick
,
Peter Hokanson
,
Seoyeon(Tara) Hong
Keywords:
computer vision
,
ELEC 301
,
flag semaphore
,
Rice University
,
term project
Summary:
This module describes the RFC 4824 standard for transmission of TCP/IP data over flag semaphore.
Subject:
Science and Technology
Language:
English
Popularity:
29.41%
Revised:
2010-05-21
Revisions:
2
[
1
]
2
3
4
...
6
Next
10
»
Popularity is measured as percentile rank of page views/day over all time
My Account
Username
Password
Cookies are not enabled. You must
enable cookies
before you can log in.
Get an account
Forgot your password?
Repository
Total Collections:
1317
Visit a random collection
Total Modules:
21762
Visit a random module