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» Challenges from Information Extraction to Information Fusion
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IDEAL
2009
Springer
15 years 4 months ago
STORM - A Novel Information Fusion and Cluster Interpretation Technique
Abstract. Analysis of data without labels is commonly subject to scrutiny by unsupervised machine learning techniques. Such techniques provide more meaningful representations, usef...
Jan Feyereisl, Uwe Aickelin
SAINT
2003
IEEE
15 years 2 months ago
Extracting Spatial Knowledge from the Web
The content of the world-wide web is pervaded by information of a geographical or spatial nature, particularly such location information as addresses, postal codes, and telephone ...
Yasuhiko Morimoto, Masaki Aono, Michael E. Houle, ...
DAGM
2005
Springer
15 years 3 months ago
6D-Vision: Fusion of Stereo and Motion for Robust Environment Perception
Obstacle avoidance is one of the most important challenges for mobile robots as well as future vision based driver assistance systems. This task requires a precise extraction of de...
Uwe Franke, Clemens Rabe, Hernán Badino, St...
ICML
2005
IEEE
15 years 10 months ago
Evaluating machine learning for information extraction
Comparative evaluation of Machine Learning (ML) systems used for Information Extraction (IE) has suffered from various inconsistencies in experimental procedures. This paper repor...
Neil Ireson, Fabio Ciravegna, Mary Elaine Califf, ...
ICDAR
2007
IEEE
15 years 1 months ago
WEB Image Classification Based on the Fusion of Image and Text Classifiers
This paper presents a novel method for the classification of images that combines information extracted from the images and contextual information. The main hypothesis is that con...
Pedro R. Kalva, Fabrício Enembreck, Alessan...