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» Hidden Markov Modelling Techniques for Haplotype Analysis
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EMMCVPR
1999
Springer
14 years 9 days ago
Markov Random Field Modelling of fMRI Data Using a Mean Field EM-algorithm
This paper considers the use of the EM-algorithm, combined with mean field theory, for parameter estimation in Markov random field models from unlabelled data. Special attention ...
Markus Svensén, Frithjof Kruggel, D. Yves v...
ICMCS
2005
IEEE
183views Multimedia» more  ICMCS 2005»
14 years 1 months ago
Sports Event Recognition Using Layered HMMS
The recognition of events in video data is a subject of much current interest. In this paper, we address several issues related to this topic. The first one is overfitting when ...
Mark Barnard, Jean-Marc Odobez
JMLR
2002
78views more  JMLR 2002»
13 years 7 months ago
Shallow Parsing using Specialized HMMs
We present a unified technique to solve different shallow parsing tasks as a tagging problem using a Hidden Markov Model-based approach (HMM). This technique consists of the incor...
Antonio Molina, Ferran Pla
ICDAR
2009
IEEE
13 years 5 months ago
Handwritten Word Image Retrieval with Synthesized Typed Queries
We propose a new method for handwritten word-spotting which does not require prior training or gathering examples for querying. More precisely, a model is trained "on the fly...
José A. Rodríguez-Serrano, Florent P...
DAS
2006
Springer
13 years 11 months ago
Aligning Transcripts to Automatically Segmented Handwritten Manuscripts
Abstract. Training and evaluation of techniques for handwriting recognition and retrieval is a challenge given that it is difficult to create large ground-truthed datasets. This is...
Jamie L. Rothfeder, R. Manmatha, Toni M. Rath