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NIPS
2004
15 years 5 months ago
Semi-Markov Conditional Random Fields for Information Extraction
We describe semi-Markov conditional random fields (semi-CRFs), a conditionally trained version of semi-Markov chains. Intuitively, a semiCRF on an input sequence x outputs a "...
Sunita Sarawagi, William W. Cohen
LRE
2008
110views more  LRE 2008»
15 years 4 months ago
Automatic building of an ontology on the basis of text corpora in Thai
This paper presents a methodology for automatic learning of ontologies from Thai text corpora, by extraction of terms and relations. A shallow parser is used to chunk texts on whic...
Aurawan Imsombut, Asanee Kawtrakul
ICASSP
2011
IEEE
14 years 7 months ago
Abnormal motion detection in crowded scenes using local spatio-temporal analysis
We present a motion classification approach to detect movements of interest (abnormal motion) based on local feature modeling within spatio-temporal detectors. The modeling is pe...
Fahad Daniyal, Andrea Cavallaro
151
Voted
ICANN
2005
Springer
15 years 9 months ago
Image Segmentation by Complex-Valued Units
Spike synchronisation and de-synchronisation are important for feature binding and separation at various levels in the visual system. We present a model of complex valued neuron ac...
Cornelius Weber, Stefan Wermter
143
Voted
MLMI
2004
Springer
15 years 9 months ago
Multistream Dynamic Bayesian Network for Meeting Segmentation
This paper investigates the automatic analysis and segmentation of meetings. A meeting is analysed in terms of individual behaviours and group interactions, in order to decompose e...
Alfred Dielmann, Steve Renals