About: Augmenting DAG algorithm to LP relaxation of WCSP     Goto   Sponge   NotDistinct   Permalink

An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

AttributesValues
rdf:type
Description
  • Implementace %22Augmenting DAG%22 algoritmu (poprve navrzenem autory Koval a Schlesinger v roce 1976) pro vypocet LP relaxace problemu WCSP (weighted constraint satisfaction), WCSP je znamy take jako minimalizace Gibbsovy energie nebo MAP inference v Markovskych nahodnych polich ci neorientovanych grafovych modelech. WCSP ma mnoho aplikaci, napr. v pocitacovem videni ci bioinformatice. Algoritmus a jeho efektivni implementace jsou velmi netrivialni. (cs)
  • Implementation of the Augmenting DAG algorithm (originally proposed by Koval and Schlesinger in 1976) to compute linear programming relaxation of the Weighted Constraint Satisfaction Problem (WCSP) (also known as maximizing Gibbs energy, or MAP inference in Markov random fields / undirected graphical models). WCSP has many applications, e.g. in computer vision or bioinformatics. The algorithm and its efficient implementation is highly non-trivial.
  • Implementation of the Augmenting DAG algorithm (originally proposed by Koval and Schlesinger in 1976) to compute linear programming relaxation of the Weighted Constraint Satisfaction Problem (WCSP) (also known as maximizing Gibbs energy, or MAP inference in Markov random fields / undirected graphical models). WCSP has many applications, e.g. in computer vision or bioinformatics. The algorithm and its efficient implementation is highly non-trivial. (en)
Title
  • Augmenting DAG algorithm to LP relaxation of WCSP
  • Algoritmus pro vypocet LP relaxace WCSP (cs)
  • Augmenting DAG algorithm to LP relaxation of WCSP (en)
skos:prefLabel
  • Augmenting DAG algorithm to LP relaxation of WCSP
  • Algoritmus pro vypocet LP relaxace WCSP (cs)
  • Augmenting DAG algorithm to LP relaxation of WCSP (en)
skos:notation
  • RIV/68407700:21230/08:03153077!RIV09-MSM-21230___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • S
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 357315
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21230/08:03153077
http://linked.open...terniIdentifikace
  • AugDAG
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • weighted constraint satisfaction; Gibbs energy minimization; Markov random field; ground states of spin glasses; linear programming relaxation (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [5C1B9DE230E4]
http://linked.open...okalizaceVysledku
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...echnickeParametry
  • public domain software
http://linked.open...iv/tvurceVysledku
  • Werner, Tomáš
http://linked.open...avai/riv/vlastnik
http://linked.open...itiJinymSubjektem
http://localhost/t...ganizacniJednotka
  • 21230
is http://linked.open...avai/riv/vysledek of
Faceted Search & Find service v1.16.118 as of Jun 21 2024


Alternative Linked Data Documents: ODE     Content Formats:   [cxml] [csv]     RDF   [text] [turtle] [ld+json] [rdf+json] [rdf+xml]     ODATA   [atom+xml] [odata+json]     Microdata   [microdata+json] [html]    About   
This material is Open Knowledge   W3C Semantic Web Technology [RDF Data] Valid XHTML + RDFa
OpenLink Virtuoso version 07.20.3240 as of Jun 21 2024, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (126 GB total memory, 58 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software