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» Learning Classifiers from Semantically Heterogeneous Data
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SEMWEB
2004
Springer
14 years 3 months ago
Learning Meta-descriptions of the FOAF Network
We argue that in a distributed context, such as the Semantic Web, ontology engineers and data creators often cannot control (or even imagine) the possible uses their data or ontolo...
Gunnar Aastrand Grimnes, Peter Edwards, Alun D. Pr...
ICDM
2006
IEEE
164views Data Mining» more  ICDM 2006»
14 years 4 months ago
Unsupervised Learning of Tree Alignment Models for Information Extraction
We propose an algorithm for extracting fields from HTML search results. The output of the algorithm is a database table– a data structure that better lends itself to high-level...
Philip Zigoris, Damian Eads, Yi Zhang
AAAI
2008
14 years 13 days ago
Multimodal People Detection and Tracking in Crowded Scenes
This paper presents a novel people detection and tracking method based on a multi-modal sensor fusion approach that utilizes 2D laser range and camera data. The data points in the...
Luciano Spinello, Rudolph Triebel, Roland Siegwart
RWEB
2007
Springer
14 years 4 months ago
Semantic Descriptions in an Enterprise Search Solution
Today customers want to use powerful search engines for their huge and increasing content repositories. Full-text-only products with simple result lists are not enough to satisfy t...
Uwe Crenze, Stefan Köhler, Kristian Hermsdorf...
CC
2005
Springer
195views System Software» more  CC 2005»
14 years 2 days ago
Compilation of Generic Regular Path Expressions Using C++ Class Templates
Various techniques for the navigation and matching of data structures using path expressions have been the subject of extensive investigations. No matter whether such techniques ar...
Luca Padovani