Back to Results
First PageMeta Content
Statistics / Bayesian statistics / Statistical models / Applied mathematics / Computer vision / Bayesian network / Matching / Markov random field / Structure / Mathematics / Networks / Graphical models


Learning Probabilistic Structure Graphs for Classification and Detection of Object Structures Johannes Hartz Cognitive Systems Laboratory Department of Informatics University of Hamburg
Add to Reading List

Document Date: 2009-09-29 12:24:33

Open Document

File Size: 967,69 KB

Share Result on Facebook

City

Honolulu / Hamburg / Cambridge / /

Company

Princeton University Press / Neural Information Processing Systems / Bayesian Networks / /

Country

United States / /

Facility

University of Bonn / Informatics University of Hamburg Email / Stanford University / /

IndustryTerm

low-level image processing modules / natural language processing / /

OperatingSystem

Microsoft Windows / /

Organization

Princeton University / Informatics University of Hamburg Email / Object Structures Johannes Hartz Cognitive Systems Laboratory Department / Federal Bureau of Investigation / University of Bonn / Computational Intelligence / Stanford University / /

Person

Morgan Kaufmann / /

Position

generalised model / which makes the dimensionality tractable / /

ProgrammingLanguage

C / XML / /

ProvinceOrState

Hawaii / Massachusetts / /

PublishedMedium

Machine Learning / /

SportsLeague

Stanford University / /

Technology

XML / natural language processing / Machine Learning / image processing / /

URL

http /

SocialTag