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ICIP
2008
IEEE
14 years 9 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
13 years 8 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
14 years 4 days 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»
14 years 1 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
ICMCS
2005
IEEE
173views Multimedia» more  ICMCS 2005»
14 years 1 months ago
A Multi-Modal Mixed-State Dynamic Bayesian Network for Robust Meeting Event Recognition from Disturbed Data
In this work we present a novel multi-modal mixed-state dynamic Bayesian network (DBN) for robust meeting event classification. The model uses information from lapel microphones,...
Marc Al-Hames, Gerhard Rigoll