This paper proposes a novel clustering analysis algorithm based on principal component analysis (PCA) and self-organizing maps (SOMs) for clustering the gene expression patterns. T...
This paper explores integrating self-tuning updates and sequential consistency to enable transparent replication of large-scale information dissemination services. We focus our at...
Linear Pseudo-Boolean constraints offer a much more compact formalism to express significant boolean problems in several areas, ranging from Artificial Intelligence to Electroni...
Digital signatures allow us to produce documents whose integrity and authenticity, as we generated them, is verifiable by anybody who has access to our public key. Furthermore, w...
In this paper we present a method for estimating the absolute pose of a rigid object based on intensity and depth viewbased eigenspaces, built across multiple views of example obj...