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» Theory and Use of the EM Algorithm
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ACL
2012
13 years 3 months ago
Improving the IBM Alignment Models Using Variational Bayes
Bayesian approaches have been shown to reduce the amount of overfitting that occurs when running the EM algorithm, by placing prior probabilities on the model parameters. We appl...
Darcey Riley, Daniel Gildea
ICPR
2000
IEEE
16 years 2 months ago
Precise Hand-printed Character Recognition Using Elastic Models via Nonlinear Transformation
Distorted character recognition is a difficult but inevitable problem in hand-printed character recognition. In this paper, we propose a character recognition method using elastic...
Tsuyoshi Kato, Shinichiro Omachi, Hirotomo Aso
ACL
2008
15 years 2 months ago
Using Automatically Transcribed Dialogs to Learn User Models in a Spoken Dialog System
We use an EM algorithm to learn user models in a spoken dialog system. Our method requires automatically transcribed (with ASR) dialog corpora, plus a model of transcription error...
Umar Syed, Jason Williams
ICDAR
2009
IEEE
14 years 11 months ago
Document Image Binarisation Using Markov Field Model
This paper presents a new approach for the binarization of seriously degraded manuscript. We introduce a new technique based on a Markov Random Field (MRF) model of the document. ...
Thibault Lelore, Frédéric Bouchara
ACL
1997
15 years 2 months ago
Document Classification Using a Finite Mixture Model
We propose a new method of classifying documents into categories. We define for each category a finite mixture model based on soft clustering of words. We treat the problem of cla...
Hang Li, Kenji Yamanishi