Linear Support Vector Machines (SVMs) have become one of the most prominent machine learning techniques for highdimensional sparse data commonly encountered in applications like t...
Abstract-- In this paper, we present a very fast and accurate rectilinear Steiner minimal tree (RSMT) algorithm called FLUTE. FLUTE is based on pre-computed lookup table to make RS...
The bandwidth minimization problem has a long history and a number of practical applications. In this paper we introduce a natural extension of bandwidth to partially ordered layo...
Dimension reduction is a critical data preprocessing step for many database and data mining applications, such as efficient storage and retrieval of high-dimensional data. In the ...
Jieping Ye, Qi Li, Hui Xiong, Haesun Park, Ravi Ja...
In this paper, we present a very fast and accurate rectilinear Steiner minimal tree (RSMT)1 algorithm called FLUTE. The algorithm is an extension of the wirelength estimation appr...