Results 11 to 20 of about 77,066 (262)
Region-DH: Region-based Deep Hashing for Multi-Instance Aware Image Retrieval [PDF]
, 2020 This paper introduces an instance-aware hashing approach Region-DH for large-scale multi-label image retrieval. The accurate object bounds can significantly increase the hashing performance of instance features.
Mtope, Franck Romuald Fotso, Wei, Bo
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Balanced Allocations and Double Hashing [PDF]
, 2014 Double hashing has recently found more common usage in schemes that use multiple hash functions. In double hashing, for an item $x$, one generates two hash values $f(x)$ and $g(x)$, and then uses combinations $(f(x) +k g(x)) \bmod n$ for $k=0,1,2,...$ to
Alon N. +7 more
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Symbolic Representation and Learning With Hyperdimensional Computing
Frontiers in Robotics and AI, 2020 It has been proposed that machine learning techniques can benefit from symbolic representations and reasoning systems. We describe a method in which the two can be combined in a natural and direct way by use of hyperdimensional vectors and ...
Anton Mitrokhin +4 more
doaj +1 more source
Recursive n-gram hashing is pairwise independent, at best [PDF]
, 2010 Many applications use sequences of n consecutive symbols (n-grams). Hashing these n-grams can be a performance bottleneck. For more speed, recursive hash families compute hash values by updating previous values.
Carter +12 more
core +2 more sources
From Image Hashing to Video Hashing [PDF]
, 2010 Perceptual hashing is a technique for content identification and authentication. In this work, a frame hash based video hash construction framework is proposed. This approach reduces a video hash design to an image hash design, so that the performance of the video hash can be estimated without heavy simulation.
Weng, Li, Preneel, Bart
openaire +2 more sources
Algorithm of locality sensitive hashing bit selection based on feature selection
大数据, 2021 Locality sensitive hashing is one of the most popular information retrieval methods, which needs to generate long hashing bits to meet the retrieval requirement.However, a long hashing bits requires huge storage space, and contains plenty of redundant ...
Wenhua ZHOU, Huawen LIU, Enhui LI
doaj
Distributed Fast Supervised Discrete Hashing
IEEE Access, 2019 Hash-based learning has attracted considerable attention due to its fast retrieval speed and low computational cost for the large-scale database. Compared with unsupervised hashing, supervised hashing achieves higher retrieval accuracy generally by ...
Zhifeng Liu, Feng Chen, Shukai Duan
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Comparative analysis of antibody- and lipid-based multiplexing methods for single-cell RNA-seq
Genome Biology, 2022 Background Multiplexing of samples in single-cell RNA-seq studies allows a significant reduction of the experimental costs, straightforward identification of doublets, increased cell throughput, and reduction of sample-specific batch effects.
Viacheslav Mylka +15 more
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Online supervised hashing [PDF]
, 2017 Fast nearest neighbor search is becoming more and more crucial given the advent of large-scale data in many computer vision applications. Hashing approaches provide both fast search mechanisms and compact index structures to address this critical need ...
Bargal, Sarah Adel +2 more
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Deep Hashing Based Fusing Index Method for Large-Scale Image Retrieval
Applied Computational Intelligence and Soft Computing, 2017 Hashing has been widely deployed to perform the Approximate Nearest Neighbor (ANN) search for the large-scale image retrieval to solve the problem of storage and retrieval efficiency.
Lijuan Duan +4 more
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