On musical score recognition using probabilistic reasoning

Proceedings of the International Conference on Document Analysis and Recognition, ICDAR

Volumn , Issue , 1999, Pages 115-118

  Stückelberg, Marc Vuilleumier ^a   Doermann, David ^b  

^a UNIVERSITY OF GENEVA   (Switzerland)

^b UNIVERSITY OF MARYLAND   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

HIDDEN MARKOV MODELS; MARKOV PROCESSES; STOCHASTIC MODELS; STOCHASTIC SYSTEMS;

ATTRIBUTE GRAMMARS; DESCRIPTIVE MODEL; DOCUMENT ANALYSIS; LOCAL PARAMETERS; PIPELINE ARCHITECTURE; PROBABILISTIC FRAMEWORK; PROBABILISTIC REASONING; SCANNED DOCUMENT IMAGES;

UNCERTAINTY ANALYSIS;

EID: 84951739259     PISSN: 15205363     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDAR.1999.791738     Document Type: Conference Paper

References (10)

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3. B. Coiiasnon and J. Camillerapp. Using Grammars to Segment and Recognize Music Scores. IAPR Workshop on Document Analysis Systems, Kaiserslautern, Germany, 1994.
4. H. Fahmy and D. Blostein. A Graph Grammar for High-Level Recognition of Music Notation. Proceedings of ICDAR'91, Saint Malo, France, 1991.
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