Projects funded by the NCN

Information on the principal investigator and host institution

Information of the project and the call

Keywords

Equipment

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Gaussian and Belief Networks in Bayesian Adaptation and Optimization of Behavioral Patterns [javascript:void(0);]

2011/01/N/ST6/00573

Keywords:

Gaussian Networks Bayesian Networks Belief Networks Chen Adaptive Optimisation Structure Learning Formation Redeployment Animation Blending Transition Path Reconfiguration CUDA

Descriptors:

  • ST6_8: Computer graphics, image processing, computer vision, multimedia, computer games
  • ST6_12: Scientific computing, simulation and modelling tools
  • ST6_4: Formal methods, foundations of computer science, including theoretical computer science, quantum algorithms

Panel:

ST6 - Computer science and informatics: informatics and information systems, computer science, scientific computing, intelligent systems

Host institution :

Uniwersytet Mikołaja Kopernika, Wydział Matematyki i Informatyki

woj. kujawsko-pomorskie

Other projects carried out by the institution 

Principal investigator (from the host institution):

dr Michał Matuszak 

Number of co-investigators in the project: 2

Call: PRELUDIUM 1 - announced on 2011-03-15

Amount awarded: 78 800 PLN

Project start date (Y-m-d): 2011-12-08

Project end date (Y-m-d): 2015-09-07

Project duration:: 45 months (the same as in the proposal)

Project status: Project settled

Equipment purchased [PL]

  1. Procesor graficzny (2 000 PLN)
  2. Przenośny komputer osobisty (netbook) (1 400 PLN)

Information in the final report

  • Book publications / chapters in book publications (3)
  1. Image Segmentation by Locally Specified Multi–coloured Polygonal Markov Fields
    Authors:
    Matuszak,M, Kaminska, P.
    Book:
    Proceedings of the 2nd International Conference on Intelligent Systems and Image Processing (rok: 2014, tom: 1, strony: 341-345), Wydawca: Institute of Industrial Applications Engineers
    Status:
    Published
    DOI:
    link to the publication
  2. Stochastic Techniques in Influence Diagrams for Learning Bayesian Network Structure
    Authors:
    Matuszak, M., Miękisz, J.
    Book:
    Lecture Notes in Computer Science (rok: 2012, tom: 7552, strony: 33-40), Wydawca: Springer-Verlag
    Status:
    Published
    DOI:
    link to the publication
  3. Solving Ramified Optimal Transport Problem in the Bayesian Influence Diagram Framework
    Authors:
    Matuszak, M., Miękisz, J., Schreiber, T.
    Book:
    Lecture Notes in Computer Science (rok: 2012, tom: 7268, strony: 582-590), Wydawca: Springer-Verlag
    Status:
    Published
    DOI:
    link to the publication

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