In this paper, we present a novel approach to learning semantic localized patterns with binary projections in a supervised manner. The pursuit of these binary projections is refor...
Object detection can be challenging when the object class exhibits large variations. One commonly-used strategy is to first partition the space of possible object variations and t...
Quan Yuan, Ashwin Thangali, Vitaly Ablavsky, Stan ...
To better understand what makes Application Programming Interfaces (APIs) hard to use and how to improve them, recent research has begun studying programmers' strategies and ...
Developers perform small-scale reuse tasks to save time and to increase the quality of their code, but due to their small scale, the costs of such tasks can quickly outweigh their...
In this paper, we present results from our empirical evaluations of a workspace awareness tool that we designed and implemented to augment the functionality of software configurat...