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Found 5 papers, 2 papers with code
Manifold Regularization Classification Model Based On Improved Diffusion Map
Manifold regularization model is a semi-supervised learning model that leverages the geometric structure of a dataset, comprising a small number of labeled samples and a large number of unlabeled samples, to generate classifiers.
Health diagnosis and recuperation of aged Li-ion batteries with data analytics and equivalent circuit modeling
Battery health assessment and recuperation play a crucial role in the utilization of second-life Li-ion batteries.
SeesawFaceNets: sparse and robust face verification model for mobile platform
Therefore, designing lightweight networks with low memory requirement and computational cost is one of the most practical solutions for face verification on mobile platform.
Ranked #2 on
Lightweight Face Recognition
on AgeDB-30
Seesaw-Net: Convolution Neural Network With Uneven Group Convolution
In this paper, we are interested in boosting the representation capability of convolution neural networks which utilizing the inverted residual structure.
A Microprocessor implemented in 65nm CMOS with Configurable and Bit-scalable Accelerator for Programmable In-memory Computing
Chip measurements show an energy efficiency of 152/297 1b-TOPS/W and throughput of 4. 7/1. 9 1b-TOPS (scaling linearly with the matrix/input-vector element precisions) at VDD of 1. 2/0. 85V.
