We propose a scene classification method, which combines two popular methods in the literature: Spatial Pyramid Matching (SPM) and probabilistic Latent Semantic Analysis (pLSA) mod...
Abstract. In this paper, we describe an unsupervised learning framework to segment a scene into semantic regions and to build semantic scene models from longterm observations of mo...
Background: Sub-cellular structures interact in numerous direct and indirect ways in order to fulfill cellular functions. While direct molecular interactions crucially depend on s...
Abstract— Double patterning lithography (DPL) is in current production for memory products, and is widely viewed as inevitable for logic products at the 32nm node. DPL decomposes...
In this paper, we present emerging team forms, which are classified into Nimble, Virtual, and Mobile teams. Based on this classification, we present a systematic analysis of speci...
Christoph Dorn, Daniel Schall, Robert Gombotz, Sch...