Bag of Bags uses per-fragment k-means vocabularies from autoencoder embeddings to improve manuscript join retrieval, reaching Hit@1 of 0.78 versus 0.74 for the best BoW baseline on Genizah data.
Writer identification system for Indic and non-Indic scripts: State-of-the-art sur- vey.Archives of Computational Methods in Engineering, 26 (4):1283–1311
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Bag of Bags: Adaptive Visual Vocabularies for Genizah Join Image Retrieval
Bag of Bags uses per-fragment k-means vocabularies from autoencoder embeddings to improve manuscript join retrieval, reaching Hit@1 of 0.78 versus 0.74 for the best BoW baseline on Genizah data.