qFHRR encodes FHRR dimensions as discrete phase indices using integer arithmetic, cutting bit-width to 3-4 bits per dimension while preserving algebraic operations and spatial similarity structure.
2003.Holographic Reduced Representation: Distributed representation for cognitive structures
3 Pith papers cite this work. Polarity classification is still indexing.
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SRMU is a relevance-gated update rule with temporal decay for VSA streaming associative memories that filters redundant and stale information, yielding 12.6% higher memory similarity and 53.5% lower cumulative memory magnitude.
HyperSpace shows HRR and FHRR have comparable end-to-end runtime in spatial tasks despite FHRR's lower theoretical complexity per operation, with HRR using roughly half the memory.
citing papers explorer
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qFHRR: Rethinking Fourier Holographic Reduced Representations through Quantized Phase and Integer Arithmetic
qFHRR encodes FHRR dimensions as discrete phase indices using integer arithmetic, cutting bit-width to 3-4 bits per dimension while preserving algebraic operations and spatial similarity structure.
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SRMU: Relevance-Gated Updates for Streaming Hyperdimensional Memories
SRMU is a relevance-gated update rule with temporal decay for VSA streaming associative memories that filters redundant and stale information, yielding 12.6% higher memory similarity and 53.5% lower cumulative memory magnitude.
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HyperSpace: A Generalized Framework for Spatial Encoding in Hyperdimensional Representations
HyperSpace shows HRR and FHRR have comparable end-to-end runtime in spatial tasks despite FHRR's lower theoretical complexity per operation, with HRR using roughly half the memory.