ADMM SVM training with Nystrom approximation reduces kernel matrix dimension 32x with 2% accuracy loss and yields extreme efficiency gains in an edge seizure detector chip.
A low-power processor with configurable embedded machine-learning accelerators for high-order and adaptive analysis of medical-sensor signals
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A Hardware-Efficient ADMM-Based SVM Training Algorithm for Edge Computing
ADMM SVM training with Nystrom approximation reduces kernel matrix dimension 32x with 2% accuracy loss and yields extreme efficiency gains in an edge seizure detector chip.