In this paper, we propose new predictive coding schemes for photometry data of three-dimensional (3-D) mesh models as per-vertex binding. We exploit geometry and connectivity infor...
We propose a model of the hippocampus aimed at learning the timed association between subsequent sensory events. The properties of the neural network allow it to learn and predict ...
Early estimation of defect density of a product is an important step towards the remediation of the problem associated with affordably guiding corrective actions in the software d...
Mark Sherriff, Nachiappan Nagappan, Laurie A. Will...
Background: In past number of methods have been developed for predicting subcellular location of eukaryotic, prokaryotic (Gram-negative and Gram-positive bacteria) and human prote...
Mamoon Rashid, Sudipto Saha, Gajendra P. S. Raghav...
As spoken dialogue systems become deployed in increasingly complex domains, they face rising demands on the naturalness of interaction. We focus on system responsiveness, aiming t...