Web: http://arxiv.org/abs/2204.05112

May 5, 2022, 1:12 a.m. | Malcolm C. A. White, Kushal Sharma, Ang Li, T. K. Satish Kumar, Nori Nakata

cs.LG updates on arXiv.org arxiv.org

Neural Networks and related Deep Learning methods are currently at the
leading edge of technologies used for classifying objects. However, they
generally demand large amounts of time and data for model training; and their
learned models can sometimes be difficult to interpret. In this paper, we
re-introduce FastMapSVM, an interpretable Machine Learning framework for
classifying complex objects. FastMapSVM combines the strengths of FastMap and
Support-Vector Machines. FastMap is an efficient linear-time algorithm that
maps complex objects to points in a …

algorithm arxiv cv machines objects support vector

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