Sciweavers
Explore
Publications
Books
Software
Tutorials
Presentations
Lectures Notes
Datasets
Labs
Conferences
Community
Upcoming
Conferences
Top Ranked Papers
Most Viewed Conferences
Conferences by Acronym
Conferences by Subject
Conferences by Year
Tools
Sci2ools
International Keyboard
Graphical Social Symbols
CSS3 Style Generator
OCR
Web Page to Image
Web Page to PDF
Merge PDF
Split PDF
Latex Equation Editor
Extract Images from PDF
Convert JPEG to PS
Convert Latex to Word
Convert Word to PDF
Image Converter
PDF Converter
Community
Sciweavers
About
Terms of Use
Privacy Policy
Cookies
Free Online Productivity Tools
i2Speak
i2Symbol
i2OCR
iTex2Img
iWeb2Print
iWeb2Shot
i2Type
iPdf2Split
iPdf2Merge
i2Bopomofo
i2Arabic
i2Style
i2Image
i2PDF
iLatex2Rtf
Sci2ools
26
click to vote
TNN
2008
favorite
Email
discuss
report
95
views
more
TNN 2008
»
A Constrained Optimization Approach to Preserving Prior Knowledge During Incremental Training
13 years 10 months ago
Download
fred.mems.duke.edu
In this paper, a supervised neural network training technique based on constrained optimization is developed for preserving prior knowledge of an input
Silvia Ferrari, Mark Jensenius
Real-time Traffic
Equality Constraints
|
Incremental Training
|
Prior Knowledge
|
TNN 2008
|
claim paper
Related Content
»
Simpler knowledgebased support vector machines
»
Adaptive Feedback Control by Constrained Approximate Dynamic Programming
»
3D KnowledgeBased Segmentation Using PoseInvariant HigherOrder Graphs
»
Decision Theoretic Modeling of Human Facial Displays
»
Monocular Tracking 3D People By Gaussian Process SpatioTemporal Variable Model
»
Support vector regression from simulation data and few experimental samples
»
Example Based Nonrigid Shape Detection
»
Optimal minimumdelayarea zeroskew clock tree wiresizing in pseudopolynomial time
more »
Post Info
More Details (n/a)
Added
15 Dec 2010
Updated
15 Dec 2010
Type
Journal
Year
2008
Where
TNN
Authors
Silvia Ferrari, Mark Jensenius
Comments
(0)
Researcher Info
TNN 2008 Study Group
Computer Vision