Extreme Learning Machine (ELM), which was initially proposed for training single-layer feed-forward networks (SLFNs), provides us a unified efficient and effective framework for...
A demand for predictive models for on-line estimation of variables is increasing in industry. As industrial processes are timevarying, on-line learning algorithms should be adapti...
l Abstract A Novel Motion Classification Based Intermode Selection Strategy for HEVC Performance Improvement Pallab Kanti Podder1 , Manoranjan Paul1 and Manzur Murshed2 1 School of...
Pallab Kanti Podder, Manoranjan Paul, M. Manzur Mu...
Hidden Markov models (HMMs) are widely used probabilistic models of sequential data. As with other probabilistic models, they require the specification of local conditional proba...
The Virtual Generalizing Random Access Memory Weightless Neural Network (VGRAM WNN) is a type of WNN that only requires storage capacity proportional to the training set. As such,...
Avelino Forechi, Alberto F. De Souza, Jorcy de Oli...