Abstract: Due to its strong representation learning ability and its facilitation of joint learning for representation and hash codes, deep learning-to-hash has achieved promising results and is ...

@article{roffe_decoding_2020, title={Decoding across the quantum low-density parity-check code landscape}, volume={2}, ISSN={2643-1564}, url={http://dx.doi.org/10. ...

You can check an interactive Google chart with few benchmark cases for all similarity algorithms in this library through StringsSimilarity function here However, if you want or need more details, you ...

Abstract: Error correction codes are used in semiconductor memories to protect information against errors. Simple error correction codes are preferred due to their ...

Numerous microarchitectural optimizations unlocked tremendous processing power for deep neural networks that in turn fueled the AI revolution. With the exhaustion of such optimizations, the growth of ...

This article explains the concept of cosine similarity and how it is used as a metric for evaluation of data points in various applications. Cosine similarity measures the angle between two vectors to ...

Code concatenation that uses two or more short component codes is a significant method for designing powerful codes. Concatenated classical codes are not only asymptotically good in theory, but also ...

Key Laboratory of Drug Quality Control and Pharmacovigilance, Ministry of Education, School of Pharmacy, China Pharmaceutical University, Nanjing 210009, China Department of Clinical Pharmacy, Jinling ...

New Yorker writers reflect on the year’s highs and lows. New York novels are as various as the city they describe. But “Want,” a subtly glorious new entry in the genre by Lynn Steger Strong, is set in ...