The goal of sufficient dimension reduction in supervised learning is to find the lowdimensional subspace of input features that is `sufficient' for predicting output values. ...
There are some barriers that prevent effective and systematic reuse. These barriers are produced by the need of introducing new methods for reuse development and especially by the...
-- Reuse of large-grain software components offers the potential for significant savings in application development cost and time. Successful component reuse and substitutability ...
Nenad Medvidovic, Peyman Oreizy, Richard N. Taylor
Abstract. We develop a simple combinatorial algorithm for computing the smallest enclosing ball of a set of points in high dimensional Euclidean space. The resulting code is in mos...
In this paper we will develop a method to determine cross sections of arbitrary two-dimensional tubular structures, which are allowed to branch, by means of a Stokes flow based bo...
Marc Niethammer, Eric Pichon, Allen Tannenbaum, Pe...