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» Terrain mapping and classification using neural networks
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SEMWEB
2009
Springer
15 years 4 months ago
Learning to Map Ontologies with Neural Network
In this paper the authors applied the idea of training multiple tasks simultaneously on a partially shared feed forward network to domain of ontology mapping. A “cross training...
Yefei Peng, Paul W. Munro, Ming Mao
IEEEICCI
2002
IEEE
15 years 2 months ago
Quasi-Morphism and Comprehensibility of Rules in Inductive Learning
We present a model of creating a hierarchical set of rules that encode generalizations and exceptions derived from induction learning. The rules use the input features directly an...
Wiphada Wettayaprasit, Chidchanok Lursinsap, Chee-...
NIPS
1990
14 years 10 months ago
Bumptrees for Efficient Function, Constraint and Classification Learning
A new class of data structures called "bumptrees" is described. These structures are useful for efficiently implementing a number of neural network related operations. A...
Stephen M. Omohundro
ICANN
2010
Springer
14 years 10 months ago
Action Classification in Soccer Videos with Long Short-Term Memory Recurrent Neural Networks
Abstract. In this paper, we propose a novel approach for action classification in soccer videos using a recurrent neural network scheme. Thereby, we extract from each video action ...
Moez Baccouche, Franck Mamalet, Christian Wolf, Ch...
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ICASSP
2011
IEEE
14 years 1 months ago
Audiovisual classification of vocal outbursts in human conversation using Long-Short-Term Memory networks
We investigate classification of non-linguistic vocalisations with a novel audiovisual approach and Long Short-Term Memory (LSTM) Recurrent Neural Networks as highly successful d...
Florian Eyben, Stavros Petridis, Björn Schull...