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ISMAR
2009
IEEE
16 years 25 days ago
Augmenting text document by on-line learning of local arrangement of keypoints
We propose a technique for text document tracking over a large range of viewpoints. Since the popular SIFT or SURF descriptors typically fail on such documents, our method conside...
Hideaki Uchiyama, Hideo Saito
ICASSP
2007
IEEE
16 years 15 days ago
A New Robust Frequency Domain Echo Canceller with Closed-Loop Learning Rate Adaptation
One of the main dif culties in echo cancellation is the fact that the learning rate needs to vary according to conditions such as double-talk and echo path change. Several methods...
Jean-Marc Valin, Iain B. Collings
CIKM
2008
Springer
15 years 8 months ago
Metric-based ontology learning
Ontology learning is an important task in Artificial Intelligence, Semantic Web and Text Mining. This paper presents a novel framework for, and solutions to, three practical probl...
Hui Yang, Jamie Callan
FUIN
2002
132views more  FUIN 2002»
15 years 6 months ago
RIONA: A New Classification System Combining Rule Induction and Instance-Based Learning
The article describes a method combining two widely-used empirical approaches to learning from examples: rule induction and instance-based learning. In our algorithm (RIONA) decisi...
Grzegorz Góra, Arkadiusz Wojna
ECTEL
2007
Springer
16 years 10 days ago
An Ontology based Web Annotation System to Create New Learning Practices
Web2.0 is a conceptual framework that aims at enhancing the World Wide Web with semantic and social functionnalities. For this framework to fully develop, there is a need for concr...
Christophe Piombo, Hadj Batatia, Pascal Dayre, Ala...