Titlebook: Artificial Neural Networks and Machine Learning -- ICANN 2014; 24th International C Stefan Wermter,Cornelius Weber,Alessandro E. P. Vi Conf

让步

GORGE

Discriminative Fast Soft Competitive Learningintegration of label information in the cost function solely based on a give proximity matrix without the need of an explicite vector space. The algorithm has linear computational and memory requirements and performs favorable to traditional techniques.

比目鱼

津贴

熄灭

怒目而视

commodity

Entwicklung und Stand des Fernsehens,ion in which a non-dense matrix of coefficients is estimated without invoking any explicit sparse coding. Experiments are conducted on summarizing a video movie and on summarizing training face datasets used for face recognition. These experiments showed that the proposed method can outperform the state-of-the art methods.

免费

https://doi.org/10.1007/978-3-642-50652-9luated and compared to other metric learning and feature weighting methods on datasets from the UCI repository, where the described gradient method also shows a high robustness. In the comparison the advantages of global approaches are demonstrated.

是限制

Human Action Recognition with Hierarchical Growing Neural Gas Learningctions for classifying clustered trajectories. Noisy samples are automatically detected and removed from the training and the testing set. Experiments on a set of 10 human actions show that the use of multi-cue learning leads to substantially increased recognition accuracy over the single-cue approach and the learning of joint pose-motion vectors.

正论