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
43
click to vote
IDA
2009
Springer
favorite
Email
discuss
report
119
views
Information Technology
»
more
IDA 2009
»
Probabilistic Formulation of Independent Vector Analysis Using Complex Gaussian Scale Mixtures
14 years 6 months ago
Download
sccn.ucsd.edu
We propose a probabilistic model for the Independent Vector Analysis approach to blind deconvolution and derive an asymptotic Newton method to estimate the model by Maximum Likelihood.
Jason A. Palmer, Kenneth Kreutz-Delgado, Scott Mak
Real-time Traffic
Artificial Intelligence
|
Blind Deconvolution
|
IDA 2009
|
Probabilistic Model
|
Vector Analysis Approach
|
claim paper
Post Info
More Details (n/a)
Added
26 May 2010
Updated
26 May 2010
Type
Conference
Year
2009
Where
IDA
Authors
Jason A. Palmer, Kenneth Kreutz-Delgado, Scott Makeig
Comments
(0)
Researcher Info
Information Technology Study Group
Computer Vision