Results 31 to 40 of about 77,938 (281)
Deep Hashing Based on Class-Discriminated Neighborhood Embedding
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020 Deep-hashing methods have drawn significant attention during the past years in the field of remote sensing (RS) owing to their prominent capabilities for capturing the semantics from complex RS scenes and generating the associated hash codes in an end-to-
Jian Kang +4 more
doaj +1 more source
Asymmetric Deep Supervised Hashing
, 2017 Hashing has been widely used for large-scale approximate nearest neighbor search because of its storage and search efficiency. Recent work has found that deep supervised hashing can significantly outperform non-deep supervised hashing in many ...
Jiang, Qing-Yuan, Li, Wu-Jun
core +1 more source
Fast hashing with Strong Concentration Bounds
, 2020 Previous work on tabulation hashing by Patrascu and Thorup from STOC'11 on simple tabulation and from SODA'13 on twisted tabulation offered Chernoff-style concentration bounds on hash based sums, e.g., the number of balls/keys hashing to a given bin, but
Aamand Anders +9 more
core +1 more source
Unsupervised Triplet Hashing for Fast Image Retrieval
, 2017 Hashing has played a pivotal role in large-scale image retrieval. With the development of Convolutional Neural Network (CNN), hashing learning has shown great promise.
Huang, Shanshan +3 more
core +1 more source
Simultaneous Feature Learning and Hash Coding with Deep Neural Networks [PDF]
, 2015 Similarity-preserving hashing is a widely-used method for nearest neighbour search in large-scale image retrieval tasks. For most existing hashing methods, an image is first encoded as a vector of hand-engineering visual features, followed by another ...
Lai, Hanjiang +3 more
core +1 more source
Deep Discrete Hashing with Self-supervised Pairwise Labels
, 2017 Hashing methods have been widely used for applications of large-scale image retrieval and classification. Non-deep hashing methods using handcrafted features have been significantly outperformed by deep hashing methods due to their better feature ...
A Andoni +12 more
core +1 more source
Scalable IoT Platform for Heterogeneous Devices in Smart Environments
IEEE Access, 2020 The Internet of Things (IoT) is envisioned as a ubiquitous computing infrastructure in which everything becomes connected, enabling gigantic information exchange among Things and people.
Asad Javed +3 more
doaj +1 more source
More Analysis of Double Hashing for Balanced Allocations
, 2015 With double hashing, for a key $x$, one generates two hash values $f(x)$ and $g(x)$, and then uses combinations $(f(x) +i g(x)) \bmod n$ for $i=0,1,2,...$ to generate multiple hash values in the range $[0,n-1]$ from the initial two.
Mitzenmacher, Michael
core +1 more source
A Standalone FPGA-based Miner for Lyra2REv2 Cryptocurrencies
, 2020 Lyra2REv2 is a hashing algorithm that consists of a chain of individual hashing algorithms, and it is used as a proof-of-work function in several cryptocurrencies.
Balatsoukas-Stimming, Alexios +4 more
core +2 more sources
CAAI Transactions on Intelligence Technology, EarlyView., 2023 Abstract This research focuses on addressing the privacy issues in healthcare advancement monitoring with the rapid establishment of the decentralised communication system in the Internet of Medical Things (IoMT). An integrated blockchain homomorphic encryption standard with an in‐build supervised learning‐based smart contract is designed to improvise ...
Chandramohan Dhasarathan +7 more
wiley +1 more source