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» Learning and Inference with Constraints
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CCIA
2007
Springer
16 years 21 days ago
Semantic disambiguation of taxonomies
Polysemy is one of the most difficult problems when dealing with natural language resources. Consequently, automated ontology learning from textual sources (such as web resources) ...
David Sánchez, Antonio Moreno
EMMCVPR
2007
Springer
16 years 21 days ago
Decomposing Document Images by Heuristic Search
Abstract. Document decomposition is a basic but crucial step for many document related applications. This paper proposes a novel approach to decompose document images into zones. I...
Dashan Gao, Yizhou Wang
KI
2007
Springer
16 years 20 days ago
Location-Based Activity Recognition
Learning patterns of human behavior from sensor data is extremely important for high-level activity inference. We show how to extract and label a person’s activities and signiļ¬...
Dieter Fox
WEBI
2007
Springer
16 years 19 days ago
Knowledge Retrieval (KR)
With the ever-increasing growth of data and information, finding the right knowledge becomes a real challenge and an urgent task. Traditional data and information retrieval syste...
Yiyu Yao, Yi Zeng, Ning Zhong, Xiangji Huang
ITCC
2005
IEEE
16 years 3 days ago
A Scalable Generative Topographic Mapping for Sparse Data Sequences
We propose a novel, computationally efficient generative topographic model for inferring low dimensional representations of high dimensional data sets, designed to exploit data s...
Ata Kabán