Results 21 to 30 of about 1,012,747 (224)
Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR Segmentation [PDF]
Computer Vision and Pattern Recognition, 2020 State-of-the-art methods for large-scale driving-scene LiDAR segmentation often project the point clouds to 2D space and then process them via 2D convolution.
Xinge Zhu +7 more
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DCCRN: Deep Complex Convolution Recurrent Network for Phase-Aware Speech Enhancement [PDF]
Interspeech, 2020 Speech enhancement has benefited from the success of deep learning in terms of intelligibility and perceptual quality. Conventional time-frequency (TF) domain methods focus on predicting TF-masks or speech spectrum, via a naive convolution neural network
Yanxin Hu +8 more
semanticscholar +1 more source
Generalized convolutions V [PDF]
Studia Mathematica, 1973 This paper is a continuation of part III, ibid. 80, 167-189 (1984; Zbl 0561.60019). It deals with generalized convolution algebras (\({\mathcal P},\circ)\), i.e. \({\mathcal P}\) is the set of all probability measures on the positive half-line and ``\(\circ ''\) is a generalized convolution of measures from \({\mathcal P}\).
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Convolutions, integral transforms and integral equations by means of the theory of reproducing kernels [PDF]
Opuscula Mathematica, 2012 This paper introduces a general concept of convolutions by means of the theory of reproducing kernels which turns out to be useful for several concrete examples and applications.
Luis P. Castro +2 more
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Convolution in Convolution for Network in Network [PDF]
IEEE Transactions on Neural Networks and Learning Systems, 2018 A method of Convolutional Neural ...
Pang, Yanwei +4 more
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Convolutional Gated MLP: Combining Convolutions & gMLP
, 2021 Conference
Rajagopal, A., Nirmala, V.
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ASSOCIATIVE CONVOLUTIONS ARISING FROM CONDITIONALLY FREE CONVOLUTION [PDF]
Infinite Dimensional Analysis, Quantum Probability and Related Topics, 2005 We define two families of deformations of probability measures depending on the second free cumulants and the corresponding new associative convolutions arising from the conditionally free convolution. These deformations do not commute with dilation of measures, which means that the limit theorems cannot be obtained as a direct application of the ...
Krystek, Anna Dorota +1 more
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Fast and oblivious convolution quadrature [PDF]
, 2005 We give an algorithm to compute $N$ steps of a convolution quadrature approximation to a continuous temporal convolution using only $O(N \log N)$ multiplications and $O(\log N)$ active memory.
Lubich, Christian +2 more
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International Statistical Review / Revue Internationale de Statistique, 1999 SummaryA general convolution theorem within a Bayesian framework is presented. Consider estimation of the Euclidean parameter θ by an estimator T within a parametric model. Let W be a prior distribution for θ and define G as the W‐average of the distribution of T ‐ θ under θ.
van den Heuvel, E.R., Klaassen, C.A.J.
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IET Computer Vision, 2021 Three‐dimensional (3D) shape reconstruction of objects requires multiple scans and complex reconstruction algorithms. An alternative approach is to infer the 3D shape of an object from a single depth image (i.e. single depth view).
Edwin Valarezo Añazco +2 more
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