Features in Deep Learning Architectures with Unsupervised Kernel k-Means Page: 1 of 6
This article is part of the collection entitled: Office of Scientific & Technical Information Technical Reports and was provided to UNT Digital Library by the UNT Libraries Government Documents Department.
Extracted Text
The following text was automatically extracted from the image on this page using optical character recognition software:
LIVERMORE
N A T 10O N A L
LABORATORYLLNL-CONF-644296
Features in Deep Learning
Architectures with Unsupervised
Kernel k-Means
K. S. Ni, R. J. Prenger
September 27, 2013
GlobalSIP
Austin, TX, United States
December 3, 2013 through December 5, 2013
Upcoming Pages
Here’s what’s next.
Search Inside
This article can be searched. Note: Results may vary based on the legibility of text within the document.
Tools / Downloads
Get a copy of this page or view the extracted text.
Citing and Sharing
Basic information for referencing this web page. We also provide extended guidance on usage rights, references, copying or embedding.
Reference the current page of this Article.
Ni, K S & Prenger, R J. Features in Deep Learning Architectures with Unsupervised Kernel k-Means, article, September 26, 2013; Livermore, California. (https://digital.library.unt.edu/ark:/67531/metadc866741/m1/1/: accessed April 25, 2024), University of North Texas Libraries, UNT Digital Library, https://digital.library.unt.edu; crediting UNT Libraries Government Documents Department.