The annual poster session for 18797/11755 Machine Learning for Signal Processing will be held in the hallway down from the elevator, leading into the bridge between Gates&Hillman. The projects focus on the application of machine learning techniques to the analysis of signals.
There will be 12 projects, including among others, an attempt at identifying minerals from hyperspectral imagery, and a team who created a map of Porter Hall using only signals from the sensors of smartphones. A couple of brave teams attempted to recreate wavenet, and one student tried to create a face database by applying his award-winning face authentication system to TV videos. We depend on you to grade the projects, so please join in help evaluate the following projects:
Faculty Host: Bhiksha Raj