Results 201 to 210 of about 62,184 (228)
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Hamming Distance based Clustering Algorithm
International Journal of Information Retrieval Research, 2012Cluster analysis has been extensively used in machine learning and data mining to discover distribution patterns in the data. Clustering algorithms are generally based on a distance metric in order to partition the data into small groups such that data instances in the same group are more similar than the instances belonging to different groups.
Ritu Vijay +2 more
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Anonymized Distance Filter in Hamming Space
2016Search algorithms typically involve intensive distance computations and comparisons. In privacy-aware applications such as biometric identification, exposing the distance information may lead to compromise of sensitive data that have privacy and security implications.
Yi Wang 0017 +3 more
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Algorithms for the Maximum Hamming Distance Problem
2005We study the problem of finding two solutions to a constraint satisfaction problem which differ on the assignment of as many variables as possible – the Max Hamming Distance problem for CSPs – a problem which can, among other things, be seen as a domain independent way of quantifying “ignorance.” The first algorithm we present is an $\mathcal{O}(1.7338^
Ola Angelsmark, Johan Thapper
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On enhancing the minimum Hamming distance of polar codes
2016 IEEE 17th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2016Although polar codes can achieve the channel capacity in discrete memoryless channel, the practical performance of such codes, especially for the short ones, is still a subject of much needed improvement. The aim of this paper is to investigate increasing the Hamming distances of polar codes while maintaining their linearity property.
Ammar Hadi, Emad Alsusa
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The Use of Hamming Distance in Bioinformatics
2012Abstract We present the major issues concerning the use of the Hamming distance and its generalizations in bioinformatics. Hamming distance type measures have enjoyed a perennial usage in the fields of biodiversity, genetics, ecology, among many others. Bioinformatics data bring new challenges to statistical procedures.
Aluísio Pinheiro +2 more
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Approximate Memristive In-Memory Hamming Distance Circuit
ACM Journal on Emerging Technologies in Computing Systems, 2020Christof Teuscher
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Similarity-based Android malware detection using Hamming distance of static binary features
Future Generation Computer Systems, 2020Rahim Taheri +2 more
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Two quantum protocols for secure hamming distance computation
Quantum Information Processing, 2018Run-Hua Shi, Shun Zhang
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The intractability of computing the Hamming distance
Theoretical Computer Science, 2005Bodo Manthey
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The inverse convex ordered 1-median problem on trees under Chebyshev norm and Hamming distance
European Journal of Operational Research, 2015Kien Trung Nguyen, André Chassein
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