Buscar
Mostrando ítems 21-30 de 1088
Active consensus-based semi-supervised growing neural gas
(2016-01-01)
In this paper, we propose a new active semi-supervised growing neural gas (GNG) model, named Active Consensus-Based Semi-Supervised GNG, or ACSSGNG. This model extends the former CSSGNG model by introducing an active ...
Particle Competition and Cooperation in Networks for Semi-Supervised Learning
(Institute of Electrical and Electronics Engineers (IEEE), Computer Soc, 2013)
Semi-supervised learning with convolutional neural networks for UAV images automatic recognition
(Elsevier B.V., 2019-09-01)
The annotation of large datasets is an issue whose challenge increases as the number of labeled samples available to train the classifier reduces in comparison to the amount of unlabeled data. In this context, semi-supervised ...
Improving semi-supervised learning through optimum connectivity
(Elsevier B.V., 2016-12-01)
The annotation of large data sets by a classifier is a problem whose challenge increases as the number of labeled samples used to train the classifier reduces in comparison to the number of unlabeled samples. In this ...
A semi-supervised learning algorithm for relevance feedback and collaborative image retrieval
(2015-12-11)
The interaction of users with search services has been recognized as an important mechanism for expressing and handling user information needs. One traditional approach for supporting such interactive search relies on ...
Particle competition and cooperation to prevent error propagation from mislabeled data in semi-supervised learning
(2012-12-01)
Semi-supervised learning is applied to classification problems where only a small portion of the data items is labeled. In these cases, the reliability of the labels is a crucial factor, because mislabeled items may propagate ...
Particle competition and cooperation to prevent error propagation from mislabeled data in semi-supervised learning
(2012-12-01)
Semi-supervised learning is applied to classification problems where only a small portion of the data items is labeled. In these cases, the reliability of the labels is a crucial factor, because mislabeled items may propagate ...