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» Hierarchical Hidden Markov Models for Information Extraction
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SIBGRAPI
2000
IEEE
15 years 5 months ago
Brazilian Bank Check Handwritten Legal Amount Recognition
This paper presents a system that is being developed for the recognition of the handwritten legal amount in Brazilian bank checks. Our strategy used to approach the handwritten leg...
Cinthia Obladen de Almendra Freitas, Abdenaim El Y...
ICIP
2008
IEEE
16 years 3 months ago
Estimation and representation of accumulated motion characteristics for semantic event detection
In this paper, a motion-based approach for detecting high-level semantic events in video sequences is presented. Its main characteristic is its generic nature, i.e. it can be dire...
Georgios Th. Papadopoulos, Vasileios Mezaris, Ioan...
ICASSP
2010
IEEE
15 years 1 months ago
Learning deep rhetorical structure for extractive speech summarization
Extractive summarization of conference and lecture speech is useful for online learning and references. We show for the first time that deep(er) rhetorical parsing of conference ...
Justin Jian Zhang, Pascale Fung
IJCNN
2000
IEEE
15 years 5 months ago
Probabilistic Neural Network Models for Sequential Data
It has already been shown how Artificial Neural Networks (ANNs) can be incorporated into probabilistic models. In this paper we review some of the approaches which have been prop...
Yoshua Bengio
JCDL
2003
ACM
101views Education» more  JCDL 2003»
15 years 6 months ago
Bibliographic Attribute Extraction from Erroneous References Based on a Statistical Model
In this paper, we propose a method for extracting bibliographic attributes from reference strings captured using Optical Character Recognition (OCR) and an extended hidden Markov ...
Atsuhiro Takasu