Results 51 to 60 of about 1,031,506 (314)

Affine Volterra processes [PDF]

, 2019
We introduce affine Volterra processes, defined as solutions of certain stochastic convolution equations with affine coefficients. Classical affine diffusions constitute a special case, but affine Volterra processes are neither semimartingales, nor ...
Jaber, Eduardo Abi, Larsson, Martin, Pulido, Sergio   +2 more
core   +3 more sources

ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks [PDF]

IEEE International Conference on Computer Vision, 2019
As designing appropriate Convolutional Neural Network (CNN) architecture in the context of a given application usually involves heavy human works or numerous GPU hours, the research community is soliciting the architecture-neutral CNN structures, which ...
Xiaohan Ding, Yuchen Guo, Guiguang Ding, J. Han   +3 more
semanticscholar   +1 more source

Convolution and convolution-root properties of long-tailed distributions [PDF]

, 2015
We obtain a number of new general properties, related to the closedness of the class of long-tailed distributions under convolutions, that are of interest themselves and may be applied in many models that deal with "plus" and/or "max" operations on heavy-
Foss, Sergey, Wang, Yuebao, Xu, Hui
core   +2 more sources

SDAUNet: A simple dual attention mechanism UNet for mixed noise removal

IET Image Processing, 2023
Convolutional neural networks (CNNs) have demonstrated impressive results in additive white Gaussian noise removal due to their strong fitting ability.
Jielin Jiang, Xiangming Hong, Yingnan Zhao, Xiaonglong Xu, Yan Cui   +4 more
doaj   +1 more source

3D Depthwise Convolution: Reducing Model Parameters in 3D Vision Tasks

, 2018
Standard 3D convolution operations require much larger amounts of memory and computation cost than 2D convolution operations. The fact has hindered the development of deep neural nets in many 3D vision tasks. In this paper, we investigate the possibility
CB Choy, R Girdhar, S Ji, S Song, Y Li, Ö Çiçek   +5 more
core   +1 more source

Advancing Breast Cancer Detection: SE-Conformer Framework for Malignancy Detection in Histopathology Images

IEEE Access
Globally, breast cancer is the second most lethal form of cancer among women, and has high rates of incidence and mortality. Early detection is crucial in improving survival rates.
Lekha S. Nair, K. R. Amarnath, Jyothisha J. Nair   +2 more
doaj   +1 more source

clcNet: Improving the Efficiency of Convolutional Neural Network using Channel Local Convolutions

, 2018
Depthwise convolution and grouped convolution has been successfully applied to improve the efficiency of convolutional neural network (CNN). We suggest that these models can be considered as special cases of a generalized convolution operation, named ...
Zhang, Dong-Qing
core   +1 more source

Turkish Lira Banknote Classification using Transfer Learning and Deep Learning

Acta Infologica
With the increasing exchange of foreign currencies due to globalization, there is a need for systems that can recognize and validate multiple currencies in real time.
Mirsat Yeşiltepe, Harun Elkıran, Jawad Rasheed   +2 more
doaj   +1 more source

Coefficient problem for certain subclasses of bi-univalent functions defined by convolution [PDF]

Mathematica Moravica, 2016
In this paper, we consider a general subclass HλΣ (h, β) of bi-univalent functions. Bounds on the first two coefficients اa2ا and اa3ا for functions in HλΣ (h, β) are given. The main results generalize and improve a recent one obtained by Srivastava [18].
Altınkaya Sahsene, Yalçın Sibel
doaj  

Fourier–Zernike Series of Convolutions on Disks

Mathematics, 2018
This paper presents a systematic study of the analytic aspects of Fourier⁻Zernike series of convolutions of functions supported on disks. We then investigate different aspects of the presented theory in the cases of zero-padded functions.
Arash Ghaani Farashahi, Gregory S. Chirikjian   +1 more
doaj   +1 more source