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Abstract: Data similarity (or distance) computation is a fundamental research topic which underpins many high-level applications based on similarity measures in machine learning and data mining.

Abstract: With the rapid development of the Internet technology field, the use of the Internet to transmit medical images has gradually become an efficient and convenient transmission method. It ...

The cryptography is decades old and well understood, the verification is something a curious player can run by hand, and the ...

KDDI data breach: attackers exploited a third-party software flaw in KDDI’s shared email backend, exposing up to 14.22 million email addresses and passwords across six Japanese ISPs. Users of NIFTY, ...

On QoreChain mainnet (qorechain-vladi), a 1,000 QOR transfer to a wallet created in Keplr is the first mainnet transaction to settle on a fully post-quantum foundation: an ML-DSA-87 (Dilithium-5) ...

A hacker claims to have stolen and is selling 110 million Notion user records. The leaked data reportedly includes email addresses, password hashes, login metadata, and workspace details. Notion has ...

In addition to single-nucleotide variations and small insertions-deletions (indels), larger-sized structural variations (for example, insertions, deletions, inversions, segmental duplications and copy ...

Lecturer: Jason Li (jmli@cs). TA: Meredith Pan (shiqip@andrew). Office hours: Meredith Thursdays 4-5pm, Gates 5th floor commons (subject to change); Jason Tuesdays 2-3pm, Gates 5011 Contacting us: ...