Spark! Ventures Demo Day Showcases Student Innovation

By Kaitlin Barnes An aircraft collision avoidance system and platform for expediting college transfer credits are just two of the 11 original projects presented at the inaugural Spark! Ventures Demo Day.  Over 60 attendees, including project mentors, industry partners, and faculty and staff from CAS, IS&T, CS, CFA, Pardee, and Innovate@BU, joined students for a poster presentation and lightning presentations. […]

Improving Face Verification Accuracy Using Hyperplane Similarity

This talk by Mike Jones, senior principal research scientist at Mitsubishi Electric Research Labs, will demonstrate how L2 distance is not the best basis of comparison to use in convolutional neural network (CNN) analysis for face verification and propose the hyperplane similarity as a more appropriate similarity function that is derived from the softmax loss function used to train the network.