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» Word Importance Discrimination Using Context Information
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363views
13 years 8 months ago
Detecting and Discriminating Behavioural Anomalies
This paper aims to address the problem of anomaly detection and discrimination in complex behaviours, where anomalies are subtle and difficult to detect owing to the complex tempor...
Chen Change Loy, Tao Xiang, Shaogang Gong
TSMC
2008
99views more  TSMC 2008»
14 years 9 months ago
A Context-Dependent Algorithm for Merging Uncertain Information in Possibility Theory
The need to merge multiple sources of uncertain information is an important issue in many application areas, especially when there is potential for contradictions between sources. ...
Anthony Hunter, Weiru Liu
MM
2004
ACM
133views Multimedia» more  MM 2004»
15 years 3 months ago
From context to content: leveraging context to infer media metadata
The recent popularity of mobile camera phones allows for new opportunities to gather important metadata at the point of capture. This paper describes a method for generating metad...
Marc Davis, Simon King, Nathan Good, Risto Sarvas
ICASSP
2011
IEEE
14 years 1 months ago
Discriminatively estimated discrete, parametric and smoothed-discrete duration models for speech recognition
Duration of phonemic segments provide important cues for distinguishing words in languages such as Arabic. Recently, we proposed a discriminatively estimated joint acoustic, durat...
Maider Lehr, Izhak Shafran
NLDB
2004
Springer
15 years 3 months ago
Synonymous Paraphrasing Using WordNet and Internet
We propose a method of synonymous paraphrasing of a text based on WordNet synonymy data and Internet statistics of stable word combinations (collocations). Given a text, we look fo...
Igor A. Bolshakov, Alexander F. Gelbukh