Complexity Reduction: theory, metrics and applications

C. Tijus, S. Poitrenaud, E. Zibetti, F. Jouen, M. Bui, E. Pinska
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引用次数: 2

Abstract

Generalized Galois lattices formalism for computing contextual categorization allows metrics to evaluate complexity and efficiency as well as methods for simplifying or complicating the external object at hand. Such methods are adapted for virtual environments and augmented reality devices for which it is simple to change the distribution of features over categories. For real world objects, and human operators that operate on them, the online computation allows a survey of the complexity level and a "simplify it first" planning of operations.
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复杂性降低:理论、度量和应用
用于计算上下文分类的广义伽罗瓦格形式允许度量来评估复杂性和效率,以及简化或使手头的外部对象复杂化的方法。这种方法适用于虚拟环境和增强现实设备,因为它很容易改变类别上的特征分布。对于现实世界的对象,以及对其进行操作的人类操作员,在线计算允许对复杂性级别进行调查,并制定“简化优先”的操作计划。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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