We describe an algorithm for similar-image search which
is designed to be efficient for extremely large collections of
images. For each query, a small response set is selected by...
Lorenzo Torresani (Dartmouth College), Martin Szum...
Recent work has introduced Boolean kernels with which one can learn linear threshold functions over a feature space containing all conjunctions of length up to k (for any 1 ≤ k ...
Abstract. Many recent works point out that there are several possibilities of assigning a meaning to a concept definition containing some sort of recursion. In this paper, we argue...
The paper introduces a new framework for feature learning in classification motivated by information theory. We first systematically study the information structure and present a n...
With the ongoing trend towards the globalization of software systems and their development, components in these systems might not only work together, but may end up evolving indep...