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» Learning in FOL with a Similarity Measure
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DAGM
2004
Springer
15 years 7 months ago
A Semantic Typicality Measure for Natural Scene Categorization
We propose an approach to categorize real-world natural scenes based on a semantic typicality measure. The proposed typicality measure allows to grade the similarity of an image wi...
Julia Vogel, Bernt Schiele
ECCV
2008
Springer
16 years 3 months ago
Improving Shape Retrieval by Learning Graph Transduction
Abstract. Shape retrieval/matching is a very important topic in computer vision. The recent progress in this domain has been mostly driven by designing smart features for providing...
Xingwei Yang, Xiang Bai, Longin Jan Latecki, Zhuow...
CIKM
2006
Springer
15 years 5 months ago
Measuring the meaning in time series clustering of text search queries
We use a combination of proven methods from time series analysis and machine learning to explore the relationship between temporal and semantic similarity in web query logs; we di...
Bing Liu 0003, Rosie Jones, Kristina Lisa Klinkner
AIED
2005
Springer
15 years 7 months ago
Fostering Learning Communities based on Task Context
This paper presents an approach to establish and support learning communities. Based on task context information (which is extracted from multiple sources) and relying on the docum...
Niels Pinkwart
TREC
2001
15 years 2 months ago
IIT at TREC-10
For TREC-10, we participated in the adhoc and manual web tracks and in both the site-finding and cross-lingual tracks. For the adhoc track, we did extensive calibrations and learn...
Mohammed Aljlayl, Steven M. Beitzel, Eric C. Jense...