Information Theoretic Methods for Learning Generative Models for Relational Structures

Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed)

Original language	English
Title of host publication	2011 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION WORKSHOPS (ICCV WORKSHOPS)
Place of Publication	NEW YORK
Publisher	IEEE
Pages	-
Number of pages	2
ISBN (Print)	978-1-4673-0063-6
Publication status	Published - 2011
Event	IEEE International Conference on Computer Vision (ICCV) - Barcelona Duration: 6 Nov 2011 → 13 Nov 2011

Conference	IEEE International Conference on Computer Vision (ICCV)
City	Barcelona
Period	6/11/11 → 13/11/11

Cite this

@inbook{447ecb1404664595903eae035e3d1b33,

title = "Information Theoretic Methods for Learning Generative Models for Relational Structures",

author = "Hancock, {Edwin R.} and Lin Han and Wilson, {Richard C.}",

year = "2011",

language = "English",

isbn = "978-1-4673-0063-6",

pages = "--",

booktitle = "2011 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION WORKSHOPS (ICCV WORKSHOPS)",

publisher = "IEEE",

address = "United States",

note = "IEEE International Conference on Computer Vision (ICCV) ; Conference date: 06-11-2011 Through 13-11-2011",

}

TY - CHAP

T1 - Information Theoretic Methods for Learning Generative Models for Relational Structures

AU - Hancock, Edwin R.

AU - Han, Lin

AU - Wilson, Richard C.

PY - 2011

Y1 - 2011

UR - http://www.scopus.com/inward/record.url?scp=84863418580&partnerID=8YFLogxK

M3 - Chapter (peer-reviewed)

SN - 978-1-4673-0063-6

SP - -

BT - 2011 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION WORKSHOPS (ICCV WORKSHOPS)

PB - IEEE

CY - NEW YORK

T2 - IEEE International Conference on Computer Vision (ICCV)

Y2 - 6 November 2011 through 13 November 2011

ER -