In this work, we compress convolutional neural network (CNN) weights post-training via transform quantization. Previous CNN quantization techniques tend to ignore the joint statistics of weights and activations, producing sub-optimal CNN performance at a given quantization bit-rate, or consider their joint statistics during training only and do not facilitate efficient compression of already trained CNN... Read more →

Wound infection is a major clinical challenge that significantly extends the wound healing time and increases the treatment cost and mortality. It is estimated that ~6.5 million Americans and ~67 million people worldwide suffer from either traumatic or chronic wounds. Management of wounds and their associated complications cost ~$25 billion annually for the patients and... Read more →

IEEE YP Professional Development Series: Part 4The Professi

Monthly meeting of Vancouver Section officers, chapter chairs, affinity group chairs, and student branches officers.Burnaby, British Columbia, Canada, Virtual: https://events.vtools.ieee.org/m/275025

IEEE YP Professional Development Series: Part 5The Professi

IEEE YP Professional Development Series: Part 6The Professi

IEEE YP Professional Development Series: Part 7The Professi