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IJCNN
2008
IEEE
15 years 9 months ago
Learning adaptive subject-independent P300 models for EEG-based brain-computer interfaces
Abstract— This paper proposes an approach to learn subjectindependent P300 models for EEG-based brain-computer interfaces. The P300 models are first learned using a pool of exis...
Shijian Lu, Cuntai Guan, Haihong Zhang
AIME
2007
Springer
15 years 9 months ago
Learning Medical Ontologies from the Web
The development of intelligent healthcare support systems always requires a formalization of medical knowledge. Domain ontologies are especially suitable for this purpose but their...
David Sánchez, Antonio Moreno
ECCV
2010
Springer
15 years 8 months ago
Convolutional learning of spatio-temporal features
Abstract. We address the problem of learning good features for understanding video data. We introduce a model that learns latent representations of image sequences from pairs of su...
ICDAR
1999
IEEE
15 years 7 months ago
Cursive Character Detection using Incremental Learning
This paper describes a new hybrid architecture for an artificial neural network classifier that enables incremental learning. The learning algorithm of the proposed architecture d...
Jean-François Hébert, Marc Parizeau,...
DAGSTUHL
2004
15 years 4 months ago
Learning with Local Models
Next to prediction accuracy, the interpretability of models is one of the fundamental criteria for machine learning algorithms. While high accuracy learners have intensively been e...
Stefan Rüping