Spectral clustering refers to a flexible class of clustering procedures that can produce high-quality clusterings on small data sets but which has limited applicability to large-...
Christopher Leckie, James C. Bezdek, Kotagiri Rama...
Abstract—A robust, efficient, and accurate inductance extraction and simulation tool, INDUCTWISE, is developed and described in this paper. This work advances the state-of-the-ar...
Tsung-Hao Chen, Clement Luk, Hyungsuk Kim, Charlie...
We introduce a new reliability infrastructure for file systems called I/O shepherding. I/O shepherding allows a file system developer to craft nuanced reliability policies to de...
Haryadi S. Gunawi, Vijayan Prabhakaran, Swetha Kri...
Several object categorization algorithms use kernel methods over multiple cues, as they offer a principled approach to combine multiple cues, and to obtain state-of-theart perform...
Obstacle-avoiding rectilinear Steiner minimal tree (OARSMT) construction is becoming one of the most sought after problems in modern design flow. In this paper we present FOARS, ...