Abstract—In this work, we present an interactive visual clustering approach for the exploration and analysis of vast volumes of data. The proposed approach is based on a bio-insp...
Classification is one of the most fundamental problems in machine learning, which aims to separate the data from different classes as far away as possible. A common way to get a g...
Bin Zhang, Fei Wang, Ta-Hsin Li, Wen Jun Yin, Jin ...
Experience has shown that the power consumption of sensors and other wireless computational devices is often dominated by their communication patterns. We present a practical real...
"The world of science and engineering is filled with signals: images from remote space probes, voltages generated by the heart and brain, radar and sonar echoes, seismic vibra...
—Connecting system-level performance models with circuit information has been a long-standing problem in analog/mixed-signal front-ends, like radios and high-speed links. High-sp...