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Modular Composite Representation
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DOI：10.1007/s12559-013-9243-y.png)
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摘要
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High-dimensional vector spaces have noteworthy properties that make them attractive for representation models. A reduced description model is a mechanism for encoding complex structures as single high-dimensional vectors. Moreover, these vectors can be used to directly process complex operations such as analogies, inferences, and structural comparisons. Also, it is possible to reconstruct the whole structure from the reduced description vector. Here, we introduce the modular composite representation (MCR), a new reduced description model that employs long integer vectors. We also describe several experiments with them, and give a theoretical analysis of the distance distribution in this vector space, and of properties of this representation. Finally, we compare MCR with other two reduced description models: Spatter Code and holographic reduced representation.
Keyword:
Reduced description
Holistic record
High-dimensional representation
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4.3
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1.6K
被引数:
3.6K
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引用论文
Hyperdimensional Computing: An Introduction to Computing in Distributed Representation with High-Dimensional Random Vectors超维计算: 高维随机向量分布式表示计算简介
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