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BMCBI
2005
108views more  BMCBI 2005»
15 years 6 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
CVPR
2005
IEEE
16 years 8 months ago
Simultaneous Modeling and Tracking (SMAT) of Feature Sets
A novel method for the simultaneous modeling and tracking (SMAT) of a feature set during motion sequence is proposed. The method requires no prior information. Instead the a poste...
N. D. H. Dowson, Richard Bowden
MICCAI
2009
Springer
16 years 8 months ago
Multimodal Prior Appearance Models Based on Regional Clustering of Intensity Profiles
Model-based image segmentation requires prior information about the appearance of a structure in the image. Instead of relying on Principal Component Analysis such as in Statistica...
François Chung, Hervé Delingette
ECIR
2009
Springer
16 years 4 months ago
A Probabilistic Retrieval Model for Semistructured Data
Abstract. Retrieving semistructured (XML) data typically requires either a structured query such as XPath, or a keyword query that does not take structure into account. In this pap...
Jinyoung Kim, Xiaobing Xue, W. Bruce Croft
MODELS
2009
Springer
16 years 1 months ago
Business Process Models as a Showcase for Syntax-Based Assistance in Diagram Editors
Recently, a generic approach for syntax-based user assistance in diagram editors has been proposed that requires the syntax of the visual language to be defined by a graph grammar...
Steffen Mazanek, Mark Minas