Arleene Correa Valencia transforms bark paper and embroidery into a tender reckoning with the reality of being undocumented ...
An Efficient Algorithm for a Class of Large-Scale Support Vector Machines Exploiting Hidden Sparsity
Abstract: Support vector machines (SVMs) are successful supervised learning models that analyze data for classification and regression. Previous work has demonstrated the superiority of the SVMs in ...
Abstract: Tiny machine learning (TinyML) is a new frontier of machine learning. By squeezing deep learning models into billions of IoT devices and microcontrollers (MCUs), we expand the scope of ...
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