40 citations · 137 across the 37 of their papers we have counts for
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cs.LG2017★ 3 cited
Kernel Scaling for Manifold Learning and Classification
Ofir Lindenbaum, Moshe Salhov, Arie Yeredor +1
Kernel methods play a critical role in many machine learning algorithms. They are useful in manifold learning, classification, clustering and other data analysis tasks. Setting the…
cs.LG2017★ 17 cited
Multi-View Kernels for Low-Dimensional Modeling of Seismic Events
Ofir Lindenbaum, Yuri Bregman, Neta Rabin +1
The problem of learning from seismic recordings has been studied for years. There is a growing interest in developing automatic mechanisms for identifying the properties of a seism…