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» Semiautomatic Labelling of Semantic Features
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CVPR
2010
IEEE
14 years 1 months ago
Towards Semantic Embedding in Visual Vocabulary
Visual vocabulary serves as a fundamental component in many computer vision tasks, such as object recognition, visual search, and scene modeling. While state-of-the-art approaches...
R.-R. Ji, Hongxun Yao, Xiaoshuai Sun
ISDA
2009
IEEE
14 years 2 months ago
Measures for Unsupervised Fuzzy-Rough Feature Selection
For supervised learning, feature selection algorithms attempt to maximise a given function of predictive accuracy. This function usually considers the ability of feature vectors t...
Neil MacParthalain, Richard Jensen
LREC
2008
103views Education» more  LREC 2008»
13 years 9 months ago
From Field Notes towards a Knowledge Base
We describe the process of converting plain text cultural heritage data to elements of a domain-specific knowledge base, using general machine learning techniques. First, digitise...
Piroska Lendvai, Steve Hunt
ICPR
2006
IEEE
14 years 8 months ago
Local Behaviours Labelling for Content Based Video Copy Detection
This paper presents an approach for indexing a large set of videos by considering the dynamic behaviour of local visual features along the sequences. The proposed concept is based...
Julien Law-To, Valérie Gouet-Brunet, Olivie...
CCIA
2007
Springer
14 years 1 months ago
Agents and Clinical Guidelines: Filling the Semantic Gap
Medical ontologies are developed to solve problems such as the demand for reusing, sharing and transmitting data. The unambiguous communication of complex and detailed medical conc...
David Isern, David Sánchez, Antonio Moreno