In situations where class labels are known for a part of the objects, a cluster analysis respecting this information, i.e. semi-supervised clustering, can give insight into the cl...
In this paper, we present a computational scene model and also derive novel algorithms for computing audio and visual scenes and within-scene structures in films. We use constraint...
Software evolution research inherently has several resourceintensive logistical constraints. Archived project artifacts, such as those found in source code repositories and bug tr...
Jennifer Bevan, E. James Whitehead Jr., Sunghun Ki...
This paper presents a basic framework for applying static task scheduling techniques to arbitrarily-structured task systems whose targeted execution environment is comprised of fi...
Abstract. This paper addresses an approach toward tomographic reconstruction from rotational angiography data as it is generated by Carms in cardiac imaging. Since the rotational a...