Results 1 to 10 of about 80,492 (210)
Comprehensive Performance Study of Hashing Functions [PDF]
Most literature on hashing functions speaks in terms of hashing functions being either ‘good’ or ‘bad’. In this paper, we demonstrate how a hashing function that gives good results for one key set, performs badly for another.
G. M. Sridevi +2 more
doaj +1 more source
Optimizing Non-Differentiable Metrics for Hashing
Image hashing embeds the image to binary codes which can boost the efficiency of approximately nearest neighbors search. F-measure is a widely-used metric for evaluating the performance of hashing methods.
Yiwen Wei, Dayong Tian, Jiao Shi, Yu Lei
doaj +1 more source
Deep Hashing Network for Unsupervised Domain Adaptation [PDF]
In recent years, deep neural networks have emerged as a dominant machine learning tool for a wide variety of application domains. However, training a deep neural network requires a large amount of labeled data, which is an expensive process in terms of ...
Hemanth Venkateswara +3 more
semanticscholar +1 more source
Deep Multi-View Enhancement Hashing for Image Retrieval [PDF]
Hashing is an efficient method for nearest neighbor search in large-scale data space by embedding high-dimensional feature descriptors into a similarity preserving Hamming space with a low dimension.
C. Yan, Biao Gong, Yuxuan Wei, Yue Gao
semanticscholar +1 more source
Ascon v1.2: Lightweight Authenticated Encryption and Hashing
Authenticated encryption satisfies the basic need for authenticity and confidentiality in our information infrastructure. In this paper, we provide the specification of Ascon-128 and Ascon-128a.
Christoph Dobraunig +3 more
semanticscholar +1 more source
Modality-Invariant Asymmetric Networks for Cross-Modal Hashing
Cross-modal hashing has garnered considerable attention and gained great success in many cross-media similarity search applications due to its prominent computational efficiency and low storage overhead.
Zheng Zhang +4 more
semanticscholar +1 more source
Comparison of hashing methods for supporting consistency in distributed databases
The object of research is the methods of ensuring consistency in distributed systems. Distributed systems allow you to use any service regardless of the user's geolocation while maintaining high performance.
В. Нікітін, Є. Крилов
doaj +1 more source
As a result of the limited resources available in IoT local devices, the large scale cloud consumer’s data that are produced by IoT related machines are contracted out to the cloud. Cloud computing is unreliable, using it can compromise user privacy, and
Kranthi Kumar Singamaneni +4 more
doaj +1 more source
A further analysis of Cuckoo Hashing with a Stash and Random Graphs of Excess r [PDF]
Analysis of ...
Reinhard Kutzelnigg
doaj +1 more source
PalmHashNet: Palmprint Hashing Network for Indexing Large Databases to Boost Identification
Palmprint identification aims to establish the identity of a given query sample by comparing it with all the templates in the database and locating the most similar one. It becomes computationally expensive as the size of the database grows.
Geetika Arora +3 more
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