Accurately evaluating statistical independence among random variables is a key element of Independent Component Analysis (ICA). In this paper, we employ a squared-loss variant of ...
We introduce a new graph cut for clustering which we call the Information Cut. It is derived using Parzen windowing to estimate an information theoretic distance measure between p...
Robert Jenssen, Deniz Erdogmus, Kenneth E. Hild II...
Abstract. Reliable object detection and segmentation is crucial for active safety driver assistance applications. In urban areas where the object density is high, a segmentation ba...
Nico Kaempchen, Markus Zocholl, Klaus C. J. Dietma...
We propose an ordinal-basedmeasure of image similarity. Thismeasureisbased on a recentlydevelopedgeneralframework for image correspondence and incorporates regionbased spatial inf...
Abstract— Wireless sensor networks (WSNs) promise finegrain monitoring in a wide variety of applications, which require dense sensor nodes deployment. Due to high density of nod...