This paper presents a supervised manifold learning model for dimensionality reduction in image and video classification tasks. Unlike most manifold learning models that emphasize ...
We revisit the device-driver architecture supported by the majority of operating systems, where a driver is a passive object that does not have its own thread of control and is on...
This paper presents ElectriSense, a new solution for automatically detecting and classifying the use of electronic devices in a home from a single point of sensing. ElectriSense r...
Sidhant Gupta, Matthew S. Reynolds, Shwetak N. Pat...
We present a study that evaluates the effectiveness of augmenting on-screen instructions with micro-projection for manual task guidance unlike prior work, which replaced screen in...
Stephanie Rosenthal, Shaun K. Kane, Jacob O. Wobbr...
Background: Empirical scoring functions have proven useful in protein structure modeling. Most such scoring functions depend on protein side chain conformations. However, backbone...