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» Using multiple ontologies in information extraction
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DEXAW
2004
IEEE
177views Database» more  DEXAW 2004»
15 years 1 months ago
An Example of the ESTEST Approach to Combining Unstructured Text and Structured Data
In this paper, we demonstrate the use of the ESTEST system, which combines the data integration approach with techniques from Information Extraction in order to allow information ...
Dean Williams, Alexandra Poulovassilis
ACIIDS
2010
IEEE
146views Database» more  ACIIDS 2010»
14 years 11 months ago
Entrance Detection of Buildings Using Multiple Cues
This paper describes an approach to detect the entrance of building with hopeful that it will be applied for autonomous navigation robot. The entrance is an important component whi...
Suk-Ju Kang, Hoang-Hon Trinh, Dae-Nyeon Kim, Kang-...
CAIP
2007
Springer
150views Image Analysis» more  CAIP 2007»
15 years 3 months ago
Hierarchical Detection of Multiple Organs Using Boosted Features
Abstract. We propose a framework for fast and automated initialization of segmentation algorithms in Computed Tomography images. Based on the idea that time-consuming voxel classiï...
Samuel Hugueny, Mikaël Rousson
BMCBI
2008
135views more  BMCBI 2008»
14 years 9 months ago
Knowledge-guided multi-scale independent component analysis for biomarker identification
Background: Many statistical methods have been proposed to identify disease biomarkers from gene expression profiles. However, from gene expression profile data alone, statistical...
Li Chen, Jianhua Xuan, Chen Wang, Ie-Ming Shih, Yu...
IJCNN
2000
IEEE
15 years 2 months ago
Extracting Distributed Representations of Concepts and Relations from Positive and Negative Propositions
Linear Relational Embedding (LRE) was introduced (Paccanaro and Hinton, 1999) as a means of extracting a distributed representation of concepts from relational data. The original ...
Alberto Paccanaro, Geoffrey E. Hinton