Feature-Base-Jump-Encoding-for-Convolutional-Matrices/CITATION.cff at main · kunalrawat6085/Feature-Base-Jump-Encoding-for-Convolutional-Matrices · GitHub

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cff-version: 1.2.0
message: >
  If you use this software, please cite it as below.
title: Recursive Base-Positional Encoding for Hierarchical Matrix Features
authors:
  - family-names: Marić
    given-names: Ante
    orcid: https://orcid.org/0009-0002-4967-7840
date-released: 2024-09-29
abstract: >
  Memory-efficient technique for encoding hierarchical, recursive, or multi-scale feature information in a single integer per matrix cell, using base-positional arithmetic. Each "digit" encodes the state at a given recursion depth. Enables efficient, compact representation of sparse or multi-level features in grid- or tree-like data.
repository-code: https://github.com/AnteMaric01/Feature-Base-Jump-Encoding-for-Convolutional-Matrices
license: MIT
keywords:
  - encoding
  - positional
  - recursion
  - matrix
  - computer vision
  - compression