Sciweavers

252 search results - page 6 / 51
» Probabilistic Declarative Information Extraction
Sort
View
ICASSP
2008
IEEE
14 years 2 months ago
Rhetorical-State Hidden Markov Models for extractive speech summarization
We propose an extractive summarization system with a novel non-generative probabilistic framework for speech summarization. One of the most underutilized features in extractive su...
Pascale Fung, Ricky Ho Yin Chan, Justin Jian Zhang
ECCV
2004
Springer
14 years 9 months ago
Extraction of Semantic Dynamic Content from Videos with Probabilistic Motion Models
Abstract. The exploitation of video data requires to extract information at a rather semantic level, and then, methods able to infer "concepts" from low-level video featu...
Gwenaëlle Piriou, Jian-Feng Yao, Patrick Bout...
KDD
2000
ACM
115views Data Mining» more  KDD 2000»
13 years 11 months ago
A framework for specifying explicit bias for revision of approximate information extraction rules
Information extraction is one of the most important techniques used in Text Mining. One of the main problems in building information extraction (IE) systems is that the knowledge ...
Ronen Feldman, Yair Liberzon, Binyamin Rosenfeld, ...
SIGMOD
2008
ACM
90views Database» more  SIGMOD 2008»
14 years 7 months ago
Toward best-effort information extraction
Current approaches to develop information extraction (IE) programs have largely focused on producing precise IE results. As such, they suffer from three major limitations. First, ...
Warren Shen, Pedro DeRose, Robert McCann, AnHai Do...
ICIP
2003
IEEE
14 years 9 months ago
Automatic road extraction from aerial images by probabilistic contour tracking
In this paper a new automatic approach to road extraction from aerial images is proposed. This method improves a recently introduced promising approach to probabilistic contour tr...
Manuele Bicego, Silvio Dalfini, Gianni Vernazza, V...