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The paper presents a quantization-theoretic framework for studying incremental Σ∆ data conversion systems. The framework makes it possible to efficiently compute the quantization intervals and h...
Matrix Factorization techniques have been successfully applied to raise the quality of suggestions generated by Collaborative Filtering Systems (CFSs). Traditional CFSs based on Matrix Factorization o...
The uni-modal error surfaces and intrinsic stable behaviors of adaptive finite impulse response (FIR) filters make gradient based algorithms very effective in the design of these filters. Gradient bas...
With the evolution of the Internet and e-commerce, collaborative filtering (CF) and privacy-preserving collaborative filtering (PPCF) have become popular. The goal in CF is to generate predictions wit...
In this paper we present query-filtering techniques based on bottom-up tree automata for XML access control. In our authorization model (RXACL), RDF statements are used to represent security objects a...

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