Titlebook: Artificial Neural Networks in Pattern Recognition; Second IAPR Workshop Friedhelm Schwenker,Simone Marinai Conference proceedings 2006 Spri

Esalate

Comparison Between Two Spatio-Temporal Organization Maps for Speech RecognitionM is experimented in the field of speech recognition in order to evaluate its performance for such time variable application and to prove that biological models are capable of giving good results as stochastic and hybrid ones.

無彈性

A Study of the Robustness of KNN Classifiers Trained Using Soft Labels reveal that learning with soft labels is more robust against label errors opposed to learning with crisp labels. The proposed technique to find soft labels from the data, was also found to lead to a more robust training in most data sets investigated.

Acumen

Incremental Manifold Learning Via Tangent Space Alignmentsed, where landmarks are selected based on LASSO regression, which is well known to favor sparse approximations because it uses regularization with l. norm. Furthermore, an incremental version (ILLTSA) of LLTSA is also proposed. Experimental results on synthetic data and real word data sets demonstrate the effectivity of our algorithms.

arrogant

NUDGE

Pde5-Inhibitors