Results 11 to 20 of about 133,855 (339)
Efficient Evaluation of Matrix Polynomials beyond the Paterson–Stockmeyer Method
Mathematics, 2021 Recently, two general methods for evaluating matrix polynomials requiring one matrix product less than the Paterson–Stockmeyer method were proposed, where the cost of evaluating a matrix polynomial is given asymptotically by the total number of matrix ...
Jorge Sastre, Javier Ibáñez
doaj +1 more source
CosFace: Large Margin Cosine Loss for Deep Face Recognition [PDF]
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018 Face recognition has made extraordinary progress owing to the advancement of deep convolutional neural networks (CNNs). The central task of face recognition, including face verification and identification, involves face feature discrimination.
H. Wang +7 more
semanticscholar +1 more source
New cosine similarity and distance measures for Fermatean fuzzy sets and TOPSIS approach
Knowledge and Information Systems, 2022 The most straightforward approaches to checking the degrees of similarity and differentiation between two sets are to use distance and cosine similarity metrics.
M. Kirişci
semanticscholar +1 more source
Defining Semantically Close Words of Kazakh Language with Distributed System Apache Spark
Big Data and Cognitive Computing, 2023 This work focuses on determining semantically close words and using semantic similarity in general in order to improve performance in information retrieval tasks.
Dauren Ayazbayev +3 more
doaj +1 more source
MFCosface: A Masked-Face Recognition Algorithm Based on Large Margin Cosine Loss
Applied Sciences, 2021 The world today is being hit by COVID-19. As opposed to fingerprints and ID cards, facial recognition technology can effectively prevent the spread of viruses in public places because it does not require contact with specific sensors.
Hongxia Deng +5 more
doaj +1 more source
bioRxiv, 2022 Spectrum alignment of tandem mass spectrometry (MS/MS) data using the modified cosine similarity and subsequent visualization as molecular networks have been demonstrated to be a useful strategy to discover analogs of molecules from untargeted MS/MS ...
Wout Bittremieux +5 more
semanticscholar +1 more source
Scientific Reports, 2022 Deep learning has recently been utilized with great success in a large number of diverse application domains, such as visual and face recognition, natural language processing, speech recognition, and handwriting identification.
Nebojša Bačanin +6 more
semanticscholar +1 more source
Cosine polynomials with few zeros [PDF]
Bulletin of the London Mathematical Society, 2021 In a celebrated paper, Borwein, Erd lyi, Ferguson and Lockhart constructed cosine polynomials of the form \[ f_A(x) = \sum_{a \in A} \cos(ax), \] with $A\subseteq \mathbb{N}$, $|A|= n$ and as few as $n^{5/6+o(1)}$ zeros in $[0,2 ]$, thereby disproving an old conjecture of J.E. Littlewood. Here we give a sharp analysis of their constructions and, as a
Juškevičius, T, Sahasrabudhe, J
openaire +5 more sources
Geometric interpretation of a correlation [PDF]
Zeszyty Naukowe Warszawskiej Wyższej Szkoły Informatyki, 2013 The study shows that the Pearson’s coefficient of correlation is equivalent to the cosine of the angle between random variables. It was found that the information about the intensity of the relationship between variables is included in the value of the ...
Zenon Gniazdowski
doaj +1 more source
A comprehensive survey on the sine–cosine optimization algorithm
Artificial Intelligence Review, 2022 Metaheuristic algorithms based on intelligent rules have been successfully developed and applied to solve many optimization areas over the past few decades. The sine–cosine algorithm (SCA) imitates the behaviour of transcendental functions while the sine
R. M. Rizk-Allah, A. Hassanien
semanticscholar +1 more source