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Cosine and Soft Cosine Similarity-Based Anti-Phishing Model
2021Phishing attack has posed a greater threat to user information over network. In addition to the existence of various disguise illegal URL’s, instances had been seen when users are redirected to phishing URL’s that challenges their privacy concern. In the current work, author tried to develop an effective anti-phishing method based on hybrid similarity ...
Bhawna Sharma +2 more
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Cosine Representations of Abelian *-Semigroups and Generalized Cosine Operator Functions
Canadian Journal of Mathematics, 1978In the following R will denote the real numbers, for a Hilbert space H, B(H) and L(H) will denote the collections of bounded linear operators on H and linear, but not necessarily bounded, operators on H respectively. Cosine Operator Functions, namely functions
Faulkner, G. D., Shonkwiler, R. W.
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IEEE Transactions on Computers, 1980
A new discrete cosine transform is developed in such a way that its closeness to the Karhunen–Loeve transform can be established straightforwardly. The transform is characterized by a symmetric matrix and will be referred to as the symmetric cosine transform (SCT).
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A new discrete cosine transform is developed in such a way that its closeness to the Karhunen–Loeve transform can be established straightforwardly. The transform is characterized by a symmetric matrix and will be referred to as the symmetric cosine transform (SCT).
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2015 International Conference on Pervasive Computing (ICPC), 2015
Content based image retrieval(CBIR) is a process of retrieving relatively similar images from image database based on content of an image. In proposed algorithm a novel idea of sectorisation is applied on hybrid wavelet transformed images to extract the unique feature of images.
Sudeep D. Thepade, Yogita D. Shinde
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Content based image retrieval(CBIR) is a process of retrieving relatively similar images from image database based on content of an image. In proposed algorithm a novel idea of sectorisation is applied on hybrid wavelet transformed images to extract the unique feature of images.
Sudeep D. Thepade, Yogita D. Shinde
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Running discrete cosine transform
Journal of Biomedical Engineering, 1992The discrete cosine transform (DCT) has become an important tool in digital signal processing because its performance is close to the optimal Karhunen-Loeve transform. In this work the running discrete cosine transform (RDCT) is introduced. Using the properties of the discrete Fourier transform kernel W = exp (-2 pi j/N), a fast recursive algorithm was
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American Journal of Mathematics, 1958
Let f (x) be a function possessing derivatives of arbitrarily higl order on an open x-interval (a, b), and let (_1) nD2nf(X) ? 0, where D = d/dx, hold on (a, b) for n = 0, 1,2,. If the trivial case f(x) const. (? 0) is excluded, then, for reasons of convexity, this infinity of inequalities cannot be satisfied on an unbounded interval (a, b), and so it ...
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Let f (x) be a function possessing derivatives of arbitrarily higl order on an open x-interval (a, b), and let (_1) nD2nf(X) ? 0, where D = d/dx, hold on (a, b) for n = 0, 1,2,. If the trivial case f(x) const. (? 0) is excluded, then, for reasons of convexity, this infinity of inequalities cannot be satisfied on an unbounded interval (a, b), and so it ...
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Cosine Tuning Minimizes Motor Errors
Neural Computation, 2002Cosine tuning is ubiquitous in the motor system, yet a satisfying explanation of its origin is lacking. Here we argue that cosine tuning minimizes expected errors in force production, which makes it a natural choice for activating muscles and neurons in the final stages of motor processing.
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Advances in Sine Cosine Algorithm: A comprehensive survey
Artificial Intelligence Review, 2021Laith Mohammad Abualigah, Ali H Diabat
exaly