Tensor decomposition is a fundamental tool for analyzing multi-dimensional data by learning low-rank factors to represent high-order interactions. While recent works on temporal tensor decomposition ...

Abstract: The paper presents a new disjoint functional decomposition method for set of Boolean functions specified by separate truth tables. The functional decomposition has important applications in ...

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Abstract: This paper presents an algorithm of symbolic functional decomposition for the implementation of finite state machines in field programmable gate array (FPGA) circuits. Unlike previous ...

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