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Zipping (computer science)
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In computer science, zipping is a function which maps a tuple of sequences into a sequence of tuples. This name zip derives from the action of a zipper3SUM (2,635 words) [view diff] no match in snippet view article find links to article
Unsolved problem in computer science: Is there an algorithm to solve the 3SUM problem in time O(n2−ϵ){\displaystyle O(n^{2-\epsilon })}, for some ϵ>0{\displaystyleLagrangian–Eulerian advection (419 words) [view diff] no match in snippet view article find links to article
specification of the flow field. It is a special case of a line integral convolution. The method consists of using nearest-neighbour interpolation followedTexture advection (231 words) [view diff] no match in snippet view article find links to article
Image-based flow visualization Lagrangian–Eulerian advection Line integral convolution Science portal Laramee, Robert S.; et al. (2006). "Texture AdvectionBinomial transform (2,160 words) [view diff] no match in snippet view article find links to article
} This convolution can be found in the book by R.L. GRAHAM - D.E. KNUTH - O. PATASHNIK: Concrete Mathematics: A Foundation for Computer Science, Addison-WesleyFranco P. Preparata (852 words) [view diff] no match in snippet view article find links to article
Preparata is a computer scientist, the An Wang Professor, Emeritus, of Computer Science at Brown University. He is best known for his 1985 book "ComputationalConvolutional neural network (14,846 words) [view diff] no match in snippet view article find links to article
Convolutional neural network (CNN) is a regularized type of feed-forward neural network that learns feature engineering by itself via filters (or kernel)Quantum machine learning (10,189 words) [view diff] no match in snippet view article find links to article
function as CNN. The convolution filter is the most basic technique for making use of spatial information. One or more quantum convolutional filters make upLeNet (1,449 words) [view diff] no match in snippet view article find links to article
is a convolutional neural network structure proposed by LeCun et al. in 1998. In general, LeNet refers to LeNet-5 and is a simple convolutional neuralCoding theory (3,538 words) [view diff] no match in snippet view article find links to article
information theory, electrical engineering, mathematics, linguistics, and computer science—for the purpose of designing efficient and reliable data transmissionPhase-type distribution (2,368 words) [view diff] no match in snippet view article find links to article
phase-type distribution is a probability distribution constructed by a convolution or mixture of exponential distributions. It results from a system ofScale space implementation (3,207 words) [view diff] no match in snippet view article find links to article
the image data in N dimensions is subjected to smoothing by Gaussian convolution. Most of the theory for Gaussian scale space deals with continuous imagesU-Net (1,039 words) [view diff] no match in snippet view article find links to article
U-Net is a convolutional neural network that was developed for biomedical image segmentation at the Computer Science Department of the University of FreiburgGraph kernel (624 words) [view diff] no match in snippet view article find links to article
kernels have been around since the 1999, when D. Haussler introduced convolutional kernels on discrete structures. The term graph kernels was more officiallyStirling polynomials (2,345 words) [view diff] no match in snippet view article find links to article
special form of its exponential generating function, and the Stirling (convolution) polynomials, σn(x){\displaystyle \sigma _{n}(x)}, which also satisfyWasserstein metric (5,169 words) [view diff] no match in snippet view article find links to article
Gaspard Monge in 1781. Because of this analogy, the metric is known in computer science as the earth mover's distance. The name "Wasserstein distance" wasScientific visualization (3,072 words) [view diff] no match in snippet view article find links to article
It is also considered a subset of computer graphics, a branch of computer science. The purpose of scientific visualization is to graphically illustrateLuigi Dadda (792 words) [view diff] no match in snippet view article find links to article
complex control systems. In signal processing he proposed new systems for convolution. He has served as the director of the Computing Center and then of theDiscrete-time Fourier transform (4,210 words) [view diff] no match in snippet view article find links to article
} The significance of this result is explained at Circular convolution and Fast convolution algorithms. When the real and imaginary parts of a complexSobel operator (2,562 words) [view diff] no match in snippet view article find links to article
∗ {\displaystyle *} here denotes the 2-dimensional signal processing convolution operation. In his text describing the origin of the operator, Sobel showsDiscrete skeleton evolution (800 words) [view diff] no match in snippet view article find links to article
computational requirements. Pruning methods such as by structuring element (SE) convolution and the Hough transform are general purpose algorithms which quicklyRange imaging (1,379 words) [view diff] no match in snippet view article find links to article
be partially or wholly inferred alongside intensity through reverse convolution of an image captured with a specially designed coded aperture patternVision transformer (2,512 words) [view diff] no match in snippet view article find links to article
patches. One block of patches is analogous to the receptive field of one convolution. After every few attention blocks, there is a "merge layer", which mergesGabor filter (2,538 words) [view diff] no match in snippet view article find links to article
multiplication-convolution property (Convolution theorem), the Fourier transform of a Gabor filter's impulse response is the convolution of the FourierGenerating function (14,532 words) [view diff] no match in snippet view article find links to article
transformations Knuth's article titled "Convolution Polynomials" defines a generalized class of convolution polynomial sequences by their special generatingData Matrix (2,589 words) [view diff] no match in snippet view article find links to article
Instead of using Reed–Solomon codes like ECC 200, ECC 000–140 use a convolution-based error correction. Each varies in the amount of error correctionNetwork calculus (4,261 words) [view diff] no match in snippet view article find links to article
with network calculus methods. Constraint curves can be combined using convolution under min-plus algebra. Network calculus can also be used to expressBlob detection (4,040 words) [view diff] no match in snippet view article find links to article
to each other. The most common method for blob detection is by using convolution. Given some property of interest expressed as a function of positionPathological (mathematics) (2,326 words) [view diff] no match in snippet view article
mathematics. For example, the Dirichlet function is Lebesgue integrable, and convolution with test functions is used to approximate any locally integrable functionDigital image processing (4,836 words) [view diff] no match in snippet view article find links to article
used to blur and sharpen digital images. Filtering can be performed by: convolution with specifically designed kernels (filter array) in the spatial domainPyramid (image processing) (1,433 words) [view diff] no match in snippet view article
Coding - illustrates methods of Downsampling, Upsampling, and Gaussian convolution The Gaussian Pyramid - provides a brief introduction for the procedureMultidimensional discrete convolution (7,329 words) [view diff] no match in snippet view article find links to article
discrete convolution is the discrete analog of the multidimensional convolution of functions on Euclidean space. It is also a special case of convolution onFast Fourier transform (7,343 words) [view diff] no match in snippet view article find links to article
size n as a cyclic convolution of (composite) size n – 1, which can then be computed by a pair of ordinary FFTs via the convolution theorem (although WinogradMixture distribution (2,874 words) [view diff] no match in snippet view article find links to article
underlying random variables, in which case the distribution is given by the convolution operator. As an example, the sum of two jointly normally distributedMellin transform (4,596 words) [view diff] no match in snippet view article find links to article
Mellin transform may also be viewed as the Gelfand transform for the convolution algebra of the locally compact abelian group of positive real numbersComputational musicology (2,084 words) [view diff] no match in snippet view article find links to article
musicology is an interdisciplinary research area between musicology and computer science. Computational musicology includes any disciplines that use computationSemigroup (4,672 words) [view diff] no match in snippet view article find links to article
distribution F together with all convolution powers of F, with convolution as the operation. This is called a convolution semigroup. Transformation semigroupsMultiplication algorithm (6,422 words) [view diff] no match in snippet view article find links to article
_{i=0}^{k}{a_{i}b_{k-i}}} , we have a convolution. By using fft (fast fourier transformation) with convolution rule, we can get f ^ ( a ∗ b ) = f ^ (Count sketch (1,465 words) [view diff] no match in snippet view article find links to article
vectors is equivalent to the convolution of two component count sketches. The count sketch computes a vector convolution C ( 1 ) x ∗ C ( 2 ) x T {\displaystyleRidge detection (4,684 words) [view diff] no match in snippet view article find links to article
single scale only. Because scale-space theoretic computations involve convolution with the Gaussian (smoothing) kernel, it has been hoped that use of multi-scaleAlan Yuille (1,146 words) [view diff] no match in snippet view article find links to article
Science with appointments in the departments of Cognitive Science and Computer Science at Johns Hopkins University. Yuille develops models of vision and cognitionQuantum information science (740 words) [view diff] no match in snippet view article find links to article
Shiba, K., Sakamoto, K., Yamaguchi, K., Malla, D.B. & Sogabe, T. 2019, Convolution filter embedded quantum gate autoencoder, Cornell University LibraryList of theorems (5,996 words) [view diff] no match in snippet view article find links to article
algebra) Akhiezer's theorem (complex analysis) Akra–Bazzi theorem (computer science) Alternate Interior Angles Theorem (geometry) Albert–Brauer–Hasse–NoetherScale space (6,538 words) [view diff] no match in snippet view article find links to article
derived signals L ( x , y ; t ) {\displaystyle L(x,y;t)} defined by the convolution of f ( x , y ) {\displaystyle f(x,y)} with the two-dimensional GaussianAsterisk (6,003 words) [view diff] no match in snippet view article find links to article
out a footnote. It is also often used to censor offensive words. In computer science, the asterisk is commonly used as a wildcard character, or to denoteSmall object detection (2,176 words) [view diff] no match in snippet view article find links to article
You Only Look Once(YOLO) heavily uses convolution layers to learn features. As an object passes through convolution layers, its size gets reduced. ThereforeNTRUEncrypt (3,610 words) [view diff] no match in snippet view article find links to article
ring R=Z[X]/(XN−1){\displaystyle \ R=\mathbb {Z} [X]/(X^{N}-1)} with convolution multiplication and all polynomials in the ring have integer coefficientsEvent camera (2,417 words) [view diff] no match in snippet view article find links to article
arbitrary convolution kernel around the event coordinate in an array of integrate-and-fire pixels. Extension to multi-kernel event-driven convolutions allowsSpectral density (5,680 words) [view diff] no match in snippet view article find links to article
the convolution theorem, we can also view | x ^ T ( f ) | 2 {\displaystyle |{\hat {x}}_{T}(f)|^{2}} as the Fourier transform of the time convolution ofCurve-shortening flow (9,356 words) [view diff] no match in snippet view article find links to article
motion of each polygon vertex. Alternative methods include computing a convolution of polygon vertices and then resampling vertices on the resulting curvePascal's triangle (7,753 words) [view diff] no match in snippet view article find links to article
the operation of discrete convolution in two ways. First, polynomial multiplication corresponds exactly to discrete convolution, so that repeatedly convolvingScandinavian Conference on Image Analysis (903 words) [view diff] no match in snippet view article find links to article
both oral and poster, are published in the Springer Lecture Notes in Computer Science. The official language of the submissions and the conference is EnglishResidual neural network (2,784 words) [view diff] no match in snippet view article find links to article
development of deep learning for computer vision. AlexNet is an eight-layer convolutional neural network (CNN), and although CNNs had been around since at leastDiscrete wavelet transform (4,355 words) [view diff] no match in snippet view article find links to article
huge number of applications in science, engineering, mathematics and computer science. Most notably, it is used for signal coding, to represent a discreteTime complexity (4,969 words) [view diff] no match in snippet view article find links to article
In theoretical computer science, the time complexity is the computational complexity that describes the amount of computer time it takes to run an algorithmK-regular sequence (2,264 words) [view diff] no match in snippet view article find links to article
In mathematics and theoretical computer science, a k-regular sequence is a sequence satisfying linear recurrence equations that reflect the base-k representationsRobinson compass mask (512 words) [view diff] no match in snippet view article find links to article
contour is an tiny area with neighboring distinct pixel values. The convolution of each mask with the image would create a high value output where thereVideo super-resolution (6,506 words) [view diff] no match in snippet view article find links to article
frame sequence, k {\displaystyle k} — blur kernel, ∗ {\displaystyle *} — convolution operation, ↓ s {\displaystyle \downarrow {_{s}}} — downscaling operationNine-point stencil (1,347 words) [view diff] no match in snippet view article find links to article
obtain the commonly used five-point stencil, represented by the following convolution kernel: DCD=[0101−41010]{\displaystyle D_{CD}={\begin{bmatrix}0&1&0\20 (number) (1,696 words) [view diff] no match in snippet view article
Retrieved 2024-03-24. Sloane, N. J. A. (ed.). "Sequence A001629 (Self-convolution of Fibonacci numbers.)". The On-Line Encyclopedia of Integer SequencesPolygon partition (2,536 words) [view diff] no match in snippet view article find links to article
arise in DNA microarray design. Rectangular partitions can simplify convolution operations in image processing and can be used to compress bitmap imagesLong short-term memory (5,963 words) [view diff] no match in snippet view article find links to article
sigmoid function) to a weighted sum. Peephole convolutional LSTM. The ∗ {\displaystyle *} denotes the convolution operator. f t = σ g ( W f ∗ x t + U f ∗ hGeneral-purpose computing on graphics processing units (6,690 words) [view diff] no match in snippet view article find links to article
average it (for the first example) or apply a Sobel edge filter or other convolution filter (for the second) with much greater speed than a CPU, which typicallyReciprocal polynomial (1,565 words) [view diff] no match in snippet view article find links to article
Processing: A Computer Science Perspective, Wiley Interscience, p. 384, ISBN 9780471295464 Durand 1961 Katz, Nicholas M. (2012), Convolution and Equidistribution :Beta function (3,515 words) [view diff] no match in snippet view article find links to article
may be seen as a particular case of the identity for the integral of a convolution. Taking f(u):=e−uuz1−11R+g(u):=e−uuz2−11R+,{\displaystyleEdge detection (4,625 words) [view diff] no match in snippet view article find links to article
technique have been shown to be the most accurate for isolated edges. Convolution § Applications Edge-preserving filtering Feature detection (computerPrefix sum (5,242 words) [view diff] no match in snippet view article find links to article
In computer science, the prefix sum, cumulative sum, inclusive scan, or simply scan of a sequence of numbers x0, x1, x2, ... is a second sequence of numbersXu Li (computer scientist) (665 words) [view diff] no match in snippet view article
bachelor's and master's degrees in computer science from Shanghai Jiao Tong University. He received his doctorate in computer science from the Chinese UniversityZonal spherical function (6,560 words) [view diff] no match in snippet view article find links to article
algebra of biinvariant functions on G with respect to K acting by right convolution. It is commutative if in addition G/K is a symmetric space, for exampleBruun's FFT algorithm (1,968 words) [view diff] no match in snippet view article find links to article
26 (1): 56–63. Nussbaumer, H. J. (1990). Fast Fourier Transform and Convolution Algorithms. Berlin: Springer-Verlag. Wu, Yuhang (1990). "New FFT structuresYixin Chen (1,274 words) [view diff] no match in snippet view article find links to article
is a computer scientist, academic, and author. He is a professor of computer science and engineering at Washington University in St. Louis. Chen's researchMel-frequency cepstrum (1,979 words) [view diff] no match in snippet view article find links to article
to input x(n). Hence, y(n)=x(n)∗h(n){\displaystyle y(n)=x(n)*h(n)} (convolution) As speech is not stationary signal, it is divided into overlapped framesAffine shape adaptation (1,536 words) [view diff] no match in snippet view article find links to article
provided that we extend the regular scale space concept obtained by convolution with rotationally symmetric Gaussian kernels to an affine Gaussian scale-spaceNumber theory (11,124 words) [view diff] no match in snippet view article find links to article
other meanings in mathematical logic, as in Peano arithmetic, and computer science, as in floating-point arithmetic.) The use of the term arithmetic forGenerative adversarial network (14,076 words) [view diff] no match in snippet view article find links to article
typically a deconvolutional neural network, and the discriminator is a convolutional neural network. GANs are implicit generative models, which means thatSmoothed-particle hydrodynamics (9,780 words) [view diff] no match in snippet view article find links to article
SPH convolution shall be practiced close to a boundary, i.e. closer than s · h, then the integral support is truncated. Indeed, when the convolution isDiscrete sine transform (2,015 words) [view diff] no match in snippet view article find links to article
2912355. PMID 31071031. S2CID 174820107. S. A. Martucci, "Symmetric convolution and the discrete sine and cosine transforms," IEEE Trans. Signal ProcessImage segmentation (9,060 words) [view diff] no match in snippet view article find links to article
transposed convolution layers for upsampling so that the end dimensions are close to that of the input image. Skip connections are placed between convolution andClifford analysis (3,393 words) [view diff] no match in snippet view article find links to article
− 1 R j 2 = 1. {\displaystyle \sum _{j=1}^{n-1}R_{j}^{2}=1.} So the convolution operator G | R n {\displaystyle G|_{\mathbf {R} ^{n}}} is a natural generalizationComputing the permanent (4,583 words) [view diff] no match in snippet view article find links to article
the same set of indexes. Moreover, in characteristic zero a similar convolution sum expression involving both the permanent and the determinant yieldsCanny edge detector (3,302 words) [view diff] no match in snippet view article find links to article
adjacent image, with σ{\displaystyle \sigma } = 1. (The asterisk denotes a convolution operation.) B=1159[245424912945121512549129424542]∗A.{\displaystyle \mathbfMichael Pound (405 words) [view diff] no match in snippet view article find links to article
aspects of his work including password cracking, brute forcing, kernel convolution and image analysis. "Michael Pound". University of Nottingham. RetrievedStructure tensor (5,184 words) [view diff] no match in snippet view article find links to article
construction can be performed for discrete signals, with the convolution integral replaced by a convolution sum and with the continuous Gaussian kernel g(x;t){\displaystyleNeural style transfer (1,096 words) [view diff] no match in snippet view article find links to article
is fed through the CNN, and network activations are sampled at a late convolution layer of the VGG-19 architecture. Let C ( p ) {\displaystyle C(p)} beElectronic engineering (2,842 words) [view diff] no match in snippet view article find links to article
systems is often the domain of software engineering which falls under computer science, which is usually considered a separate discipline. VLSI design engineeringChirp compression (10,100 words) [view diff] no match in snippet view article find links to article
impulse response. So, the output of this matched filter is given by the convolution of the signal h(t) with the conjugate impulse response h*(-t):Chaos theory (13,924 words) [view diff] no match in snippet view article find links to article
including meteorology, anthropology, sociology, environmental science, computer science, engineering, economics, ecology, and pandemic crisis management. TheVadym Slyusar (1,982 words) [view diff] no match in snippet view article find links to article
artificial intelligence and machine learning systems to minimization of convolution and tensor sketch operations, in a popular Natural Language ProcessingPermutation (11,374 words) [view diff] no match in snippet view article find links to article
every branch of mathematics and in many other fields of science. In computer science, they are used for analyzing sorting algorithms; in quantum physicsList of named matrices (1,336 words) [view diff] no match in snippet view article find links to article
linear-quadratic regulator (LQR) systems. Irregular matrix — a matrix used in computer science which has a varying number of elements in each row. Overlap matrixFinite difference (5,764 words) [view diff] no match in snippet view article find links to article
a convolution operator: Via the formalism of incidence algebras, difference operators and other Möbius inversion can be represented by convolution withGerrit van Dijk (mathematician) (809 words) [view diff] no match in snippet view article
Institute. From 2003 to 2004 he directed the Leiden Institute for Advanced Computer Science (LIACS). He was a professor at Leiden University until 2004, when he8 (8,078 words) [view diff] no match in snippet view article find links to article
F 1 {\displaystyle \mathrm {F_{1}} } is 71, which is the eighth self-convolution of Fibonacci numbers (where 744, which is essential to Moonshine theorySpeeded up robust features (1,588 words) [view diff] no match in snippet view article find links to article
)\end{pmatrix}}} where Lxx(p,σ){\displaystyle L_{xx}(p,\sigma )} etc. is the convolution of the second-order derivative of gaussian with the image I(x,y){\displaystyleDouble factorial (4,265 words) [view diff] no match in snippet view article find links to article
polynomials, σ(α) n(x) where σ(1) n(x) ≡ σn(x), which generalize the Stirling convolution polynomials from the single factorial case to the multifactorial casesGeorge Maltese (787 words) [view diff] no match in snippet view article find links to article
Connecticut). There he earned his PhD with the dissertation Generalized Convolution Algebras and Spectral Representations supervised by Cassius Ionescu-TulceaKhatri–Rao product (4,210 words) [view diff] no match in snippet view article find links to article
{F}}C^{(1)}x\circ {\mathcal {F}}C^{(2)}y} , where ⋆ {\displaystyle \star } is vector convolution and F {\displaystyle {\mathcal {F}}} is the Fourier transform matrixChomsky–Schützenberger enumeration theorem (1,394 words) [view diff] no match in snippet view article find links to article
f{\displaystyle f} and g{\displaystyle g} is defined in the expected way as the convolution of the sequences an{\displaystyle a_{n}} and bn{\displaystyle b_{n}}:Steiner tree problem (4,365 words) [view diff] no match in snippet view article find links to article
Petteri; Koivisto, Mikko (2007). "Fourier Meets Möbius: Fast Subset Convolution". Proceedings of the 39th ACM Symposium on Theory of Computing. pp. 67–74Wavelet (7,179 words) [view diff] no match in snippet view article find links to article
Multiplication with a rectangular window in the time domain corresponds to convolution with a sinc ( Δ t ω ) {\displaystyle \operatorname {sinc} (\Delta _{t}\omegaNetwork science (10,277 words) [view diff] no match in snippet view article find links to article
mechanics from physics, data mining and information visualization from computer science, inferential modeling from statistics, and social structure from sociologyStirling numbers of the first kind (6,700 words) [view diff] no match in snippet view article find links to article
be extended through the relations of these triangles to the Stirling convolution polynomials. Combinatorial proofs These identities may be derived byDeep learning in photoacoustic imaging (4,293 words) [view diff] no match in snippet view article find links to article
style convolutional neural network. The encoder-decoder network was made of residual convolution, upsampling, and high field-of-view convolution modulesNeural network (machine learning) (16,985 words) [view diff] no match in snippet view article
are trained using competitive learning. The convolutional neural network (CNN) architecture with convolutional layers and downsampling layers was introducedCorner detection (8,962 words) [view diff] no match in snippet view article find links to article
denote the scale space representation of I {\displaystyle I} obtained by convolution with a Gaussian kernel g ( x , y , t ) = 1 2 π t e − ( x 2 + y 2 ) /Cooley–Tukey FFT algorithm (5,397 words) [view diff] no match in snippet view article find links to article
n – 1 do A[rev(k)] := a[k] Alternatively, some applications (such as convolution) work equally well on bit-reversed data, so one can perform forward transformsAddition (9,560 words) [view diff] no match in snippet view article find links to article
strategies in game theory or superposition of states in quantum mechanics. Convolution is used to add two independent random variables defined by distributionDiscrete cosine transform (12,047 words) [view diff] no match in snippet view article find links to article
1109/18.144722. Nussbaumer, H.J. (1981). Fast Fourier transform and convolution algorithms (1st ed.). New York: Springer-Verlag. Shao, Xuancheng; JohnsonTemplate matching (2,399 words) [view diff] no match in snippet view article find links to article
deep-learning classifiers such as VGG, AlexNet, and ResNet.[citation needed]Convolutional neural networks (CNNs), which many modern classifiers are based on,Toom–Cook multiplication (3,008 words) [view diff] no match in snippet view article find links to article
(August 8, 2011). "Optimal Toom-Cook Polynomial Multiplication / Toom Cook convolution, implementation for polynomials". Retrieved 22 September 2023. Toom–CookScale-invariant feature transform (9,143 words) [view diff] no match in snippet view article find links to article
L ( x , y , k σ ) {\displaystyle L\left(x,y,k\sigma \right)} is the convolution of the original image I ( x , y ) {\displaystyle I\left(x,y\right)} withTensor (machine learning) (3,635 words) [view diff] no match in snippet view article
parameter space. From 2014 to 2015, tensor methods become more common in convolutional neural networks (CNNs). Tensor methods organize neural network weightsNew Jersey Inventors Hall of Fame (1,079 words) [view diff] no match in snippet view article find links to article
Resident) Yann LeCun 2016 Image and speech recognition and advent of Convolution Neural Networks (CNNs) Bell Labs Donald Landry 2016 Cardiovascular BiologyDeep learning (17,662 words) [view diff] no match in snippet view article find links to article
deep neural networks, deep belief networks, recurrent neural networks, convolutional neural networks and transformers have been applied to fields includingHierarchical temporal memory (3,563 words) [view diff] no match in snippet view article find links to article
report). Computer Science Department, Carnegie-Mellon University. CMU-CS-84-157. Plate, Tony (1991). "Holographic Reduced Representations: Convolution AlgebraList of African-American mathematicians (7,557 words) [view diff] no match in snippet view article find links to article
Charles Dwight (1971). Approximate identities and multipliers for certain convolution measure algebras. Syracuse, New York: Syracuse University. OCLC 702682481Tensor sketch (4,536 words) [view diff] no match in snippet view article find links to article
Originally it was understood using the fast Fourier transform to do fast convolution of count sketches. Later research works generalized it to a much largerRandom variable (6,423 words) [view diff] no match in snippet view article find links to article
language processing, and other fields in discrete mathematics and computer science, where one is often interested in modeling the random variation ofKronecker product (6,118 words) [view diff] no match in snippet view article find links to article
{F}}C^{(1)}x\circ {\mathcal {F}}C^{(2)}y} , where ⋆ {\displaystyle \star } is vector convolution and F {\displaystyle {\mathcal {F}}} is the Fourier transform matrixWindow function (8,640 words) [view diff] no match in snippet view article find links to article
piece-wise polynomial function of degree k−1 that is obtained by k-fold self-convolution of the rectangular function. Triangular windows are given by: w [ n ]Harris affine region detector (6,556 words) [view diff] no match in snippet view article find links to article
G(s)} is an isotropic, circular Gaussian kernel as defined above. The convolution with a Gaussian kernel smooths the image using a window the size of thePower law (7,906 words) [view diff] no match in snippet view article find links to article
statistical models characterized by closure under additive and reproductive convolution as well as under scale transformation. Consequently, these models allMultidimensional signal restoration (2,230 words) [view diff] no match in snippet view article find links to article
invariant, the distortion of the input signal can be easily modelled as a convolution y(n1,n2,....,nm)=x(n1,n2,.....,nm)∗∗h(n1,n2,..,nm){\displaystyle y(n_{1}Formal power series (9,656 words) [view diff] no match in snippet view article find links to article
product of the two sequences of coefficients, and is a sort of discrete convolution. With these operations, R N {\displaystyle R^{\mathbb {N} }} becomesGlossary of engineering: A–L (31,771 words) [view diff] no match in snippet view article find links to article
particular, it transforms differential equations into algebraic equations and convolution into multiplication. LC circuit A circuit consisting entirely of inductorsKnowledge graph embedding (5,914 words) [view diff] no match in snippet view article find links to article
"Convolutional 2D Knowledge Graph Embeddings". arXiv:1707.01476 [cs.LG]. Jiang, Xiaotian; Wang, Quan; Wang, Bin (June 2019). "Adaptive Convolution for1000 (number) (25,218 words) [view diff] no match in snippet view article
(kiloannum) being used as a shorthand for periods of 1000 years. In computer science, however, "kilo-" is used more loosely to mean 2 to the 10th powerTypes of artificial neural networks (10,286 words) [view diff] no match in snippet view article find links to article
visual field. Unit response can be approximated mathematically by a convolution operation. CNNs are suitable for processing visual and other two-dimensionalFederated learning (5,961 words) [view diff] no match in snippet view article find links to article
However, its performance in the computer vision applications using Convolution neural network (CNN) considerably behind that of centralized trainingReed–Solomon error correction (12,002 words) [view diff] no match in snippet view article find links to article
Digital Video Broadcasting (DVB) standard DVB-S, in conjunction with a convolutional inner code, but BCH codes are used with LDPC in its successor, DVB-S2Machine learning in bioinformatics (8,072 words) [view diff] no match in snippet view article find links to article
by HMMs. Convolutional neural networks (CNN) are a class of deep neural network whose architecture is based on shared weights of convolution kernels orHistory of artificial neural networks (6,431 words) [view diff] no match in snippet view article find links to article
backpropagation algorithm as well as recurrent neural networks and convolutional neural networks, renewed interest in ANNs. The 2010s, saw the developmentDiscrete calculus (6,189 words) [view diff] no match in snippet view article find links to article
discrete calculus allows for appropriate definitions of operators (e.g., convolution), level set optimization and other key functions for neural network analysis744 (number) (27,489 words) [view diff] no match in snippet view article
this value for s ( n ) . {\displaystyle s(n).} 744 is the twelfth self-convolution of Fibonacci numbers, which is equivalently the number of elements in