Multiple Instance Learning (MIL) is a special kind of supervised learning problem that has been studied actively in recent years. We propose an approach based on One-Class Support ...
Abstract— We present an algorithm for infinitesimal motion estimation and segmentation from multiple central panoramic views. We first show that the central panoramic optical ...
An algorithm for mapping core terminals to System-On-a-Chip (SOC) I/O pins and scheduling tests in order to achieve costefficient concurrent test for core-based designs is present...
Abstract. Miller’s algorithm for computing pairings involves performing multiplications between elements that belong to different finite fields. Namely, elements in the full e...
Craig Costello, Colin Boyd, Juan Manuel Gonz&aacut...
We introduce the multiple capacitated job shop scheduling problem as a generalization of the job shop scheduling problem. In this problem machines may process several operations s...