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ICDAR
2005
IEEE
13 years 11 months ago
Estimating the Pen Trajectories of Multi-Path Static Scripts Using Hidden Markov Models
Static handwritten scripts are available only as images on documents and by definition do not contain dynamic information. This study is about extracting dynamic information from...
Emli-Mari Nel, Johan A. du Preez, Ben M. Herbst
IAJIT
2011
13 years 12 days ago
A Markovian approach for arabic root extraction
In this paper, we present an Arabic morphological analysis system that assigns, for each word of an unvoweled Arabic sentence, a unique root depending on the context. The proposed...
Abderrahim Boudlal, Mohamed Ould Abdallahi Ould Be...
ICML
2000
IEEE
14 years 6 months ago
Maximum Entropy Markov Models for Information Extraction and Segmentation
Hidden Markov models (HMMs) are a powerful probabilistic tool for modeling sequential data, and have been applied with success to many text-related tasks, such as part-of-speech t...
Andrew McCallum, Dayne Freitag, Fernando C. N. Per...
CVIU
2006
162views more  CVIU 2006»
13 years 5 months ago
Unsupervised scene analysis: A hidden Markov model approach
This paper presents a new approach to scene analysis, which aims at extracting structured information from a video sequence using directly low-level data. The method models the se...
Manuele Bicego, Marco Cristani, Vittorio Murino
CORR
2000
Springer
129views Education» more  CORR 2000»
13 years 5 months ago
Prosody-Based Automatic Segmentation of Speech into Sentences and Topics
A crucial step in processing speech audio data for information extraction, topic detection, or browsing/playback is to segment the input into sentence and topic units. Speech segm...
Elizabeth Shriberg, Andreas Stolcke, Dilek Z. Hakk...