We present techniques for estimating switching activity and power consumption in register-transfer level (RTL) circuits. Previous work on this topic has ignored the presence of gl...
Multi-label learning deals with data associated with multiple labels simultaneously. Previous work on multi-label learning assumes that for each instance, the "full" lab...
In this paper, we present an interactive visualization method for set-valued attributes that maintains the advantages of item-oriented views and interactions found in parallel mul...
Undersea localization requires a computationally expensive partial differential equation simulation to test each candidate hypothesis location via matched filter. We propose a met...
Rare category analysis is of key importance both in theory and in practice. Previous research work focuses on supervised rare category analysis, such as rare category detection an...