Several new applications and a number of new mathematical techniques have increased the research on errorcorrecting codes in the Lee metric in the last decade. In this work we cons...
Stochastic gradient descent (SGD) uses approximate gradients estimated from subsets of the training data and updates the parameters in an online fashion. This learning framework i...
We propose a multi-object multi-camera framework for tracking large numbers of tightly-spaced objects that rapidly move in three dimensions. We formulate the problem of finding co...
Zheng Wu, Nickolay I. Hristov, Tyson L. Hedrick, T...
We present an approach for learning models that obtain accurate classification of large scale data objects, collected in spatiotemporal domains. The model generation is structured ...
Igor Vainer, Sarit Kraus, Gal A. Kaminka, Hamutal ...
In recent years, e-government interoperability frameworks (e-GIFs) and enterprise architectures (EAs) have been extensively developed as mechanism tools for achieving the interope...