Keywords
Computer science
Affiliated Institutions
Related Publications
Multimodal Machine Learning: A Survey and Taxonomy
Our experience of the world is multimodal - we see objects, hear sounds, feel texture, smell odors, and taste flavors. Modality refers to the way in which something happens or i...
On the inference of ancestries in admixed populations
Inference of ancestral information in recently admixed populations, in which every individual is composed of a mixed ancestry (e.g., African Americans in the United States), is ...
Improved phone recognition using Bayesian triphone models
A crucial issue in triphone based continuous speech recognition is the large number of models to be estimated against the limited availability of training data. This problem can...
GeneMark.hmm: new solutions for gene finding
The number of completely sequenced bacterial genomes has been growing fast. There are computer methods available for finding genes but yet there is a need for more accurate algo...
Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups
Most current speech recognition systems use hidden Markov models (HMMs) to deal with the temporal variability of speech and Gaussian mixture models (GMMs) to determine how well ...
Publication Info
- Year
- 2002
- Type
- article
- Volume
- 18
- Issue
- 2-3
- Pages
- 195-217
- Citations
- 48
- Access
- Closed
External Links
Social Impact
Altmetric
PlumX Metrics
Social media, news, blog, policy document mentions
Citation Metrics
48
OpenAlex
Cite This
Paolo Frasconi,
G. Soda,
Alessandro Vullo
(2002).
Hidden Markov Models for Text Categorization in Multi-Page Documents.
Journal of Intelligent Information Systems
, 18
(2-3)
, 195-217.
https://doi.org/10.1023/a:1013681528748
Identifiers
- DOI
- 10.1023/a:1013681528748