We present sparse topical coding (STC), a non-probabilistic formulation of topic models for discovering latent representations of large collections of data. Unlike probabilistic t...
Abstract. In the context of the object-oriented data model, a compiletime approach is given that provides for a significant reduction of the amount of run-time transaction overhead...
In this paper, we describe a system that divides example sentences (data set) into clusters, based on the meaning of the target word, using a semi-supervised clustering technique....
The problem of identity and reference is receiving increasing attention in the (semantic) web community and is emerging as one of the key features which distinguish traditional kno...
Paolo Bouquet, Themis Palpanas, Heiko Stoermer, Ma...
Abstract--Hardware/Software codesign of Elliptic Curve Cryptography has been extensively studied in recent years. However, most of these designs have focused on the computational a...