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Accelerometer based Activity Classification with Variational Inference on Sticky HDP-SLDS
With the advent of smartphones equipped with acceloremeter, gyroscope and camera; it is now possible to develop activity classification platforms everyone can use conveniently.
Driver Behavior Analysis Using Lane Departure Detection Under Challenging Conditions
Among the several deep learning architectures, convolutional neural networks (CNNs) outperformed other machine learning models, especially for region proposal and object detection tasks.
Quantization-Guided Training for Compact TinyML Models
We propose a Quantization Guided Training (QGT) method to guide DNN training towards optimized low-bit-precision targets and reach extreme compression levels below 8-bit precision.
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