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» Using Maximum Entropy for Automatic Image Annotation
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ERCIMDL
2007
Springer
159views Education» more  ERCIMDL 2007»
13 years 12 months ago
Reducing Costs for Digitising Early Music with Dynamic Adaptation
Abstract. Optical music recognition (OMR) enables librarians to digitise early music sources on a large scale. The cost of expert human labour to correct automatic recognition erro...
Laurent Pugin, John Ashley Burgoyne, Ichiro Fujina...
CIVR
2004
Springer
184views Image Analysis» more  CIVR 2004»
13 years 9 months ago
Towards a Large Scale Concept Ontology for Broadcast Video
Earlier this year, a major effort was initiated to study the theoretical and empirical aspects of the automatic detection of semantic concepts in broadcast video, complementing ong...
Alexander G. Hauptmann
ECCV
2006
Springer
14 years 7 months ago
Database-Guided Simultaneous Multi-slice 3D Segmentation for Volumetric Data
Abstract. Automatic delineation of anatomical structures in 3-D volumetric data is a challenging task due to the complexity of the object appearance as well as the quantity of info...
Wei Hong, Bogdan Georgescu, Xiang Sean Zhou, Srira...
ECML
2001
Springer
13 years 10 months ago
Learning of Variability for Invariant Statistical Pattern Recognition
In many applications, modelling techniques are necessary which take into account the inherent variability of given data. In this paper, we present an approach to model class speciï...
Daniel Keysers, Wolfgang Macherey, Jörg Dahme...
BMCBI
2005
108views more  BMCBI 2005»
13 years 5 months ago
A linear memory algorithm for Baum-Welch training
Background: Baum-Welch training is an expectation-maximisation algorithm for training the emission and transition probabilities of hidden Markov models in a fully automated way. I...
István Miklós, Irmtraud M. Meyer