We present a motion synthesis framework capable of producing a wide variety of important human behaviors that have rarely been studied, including getting up from the ground, crawl...
We are developing a testbed for learning by demonstration combining spoken language and sensor data in a natural real-world environment. Microsoft Kinect RGBDepth cameras allow us...
With the rapid technological advances in machine learning and data mining, it is now possible to train computers with hundreds of semantic concepts for the purpose of annotating i...
In this paper, we study the incremental t echnology mapping problem for lookup-table (LUT) based Field Programmable Gate Arrays (FPGAs) under incremental changes. Given a gate-lev...
Efforts for software evolution supersede any other part of the software life cycle. Technological decisions have a major impact on the maintainability, but are not well reflected ...