Many settings of unsupervised learning can be viewed as quantization problems — the minimization of the expected quantization error subject to some restrictions. This allows the ...
Alex J. Smola, Robert C. Williamson, Sebastian Mik...
We have developed a system architecture, measuring and modeling techniques, and algorithms for on-line power and energy optimization and thermal management. The starting point for...
This paper considers the problem of estimating the power breakdowns for the main appliances inside a building using a small number of power meters and the knowledge of the ON/OFF ...
Type inference and type reconstruction derive static types for program elements that have no static type associated with them. They have a wide range of usage, such as helping to ...
This work focuses on congestion-driven placement of standard cells into rows in the fixed-die context. We summarize the stateof-the-art after two decades of research in recursive ...
Andrew E. Caldwell, Andrew B. Kahng, Igor L. Marko...