Results 31 to 40 of about 490,787 (262)
Geometric deep learning: going beyond Euclidean data [PDF]
, 2016 Many scientific fields study data with an underlying structure that is a non-Euclidean space. Some examples include social networks in computational social sciences, sensor networks in communications, functional networks in brain imaging, regulatory ...
Bronstein, Michael M. +4 more
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Brain Network Analysis and Classification Based on Convolutional Neural Network
Frontiers in Computational Neuroscience, 2018 Background: Convolution neural networks (CNN) is increasingly used in computer science and finds more and more applications in different fields. However, analyzing brain network with CNN is not trivial, due to the non-Euclidean characteristics of brain ...
Lu Meng, Jing Xiang
doaj +1 more source
Recurrent Multimodal Interaction for Referring Image Segmentation [PDF]
, 2017 In this paper we are interested in the problem of image segmentation given natural language descriptions, i.e. referring expressions. Existing works tackle this problem by first modeling images and sentences independently and then segment images by ...
Lin, Zhe +5 more
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Acceleration of stereo-matching on multi-core CPU and GPU [PDF]
, 2014 This paper presents an accelerated version of a dense stereo-correspondence algorithm for two different parallelism enabled architectures, multi-core CPU and GPU.
Cockshott, Paul +2 more
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Convolution and Concurrency [PDF]
Mathematical Structures in Computer Science, 2020 We show how concurrent quantales and concurrent Kleene algebras arise as convolution algebras $Q^X$ of functions from structures $X$ with two ternary relations that satisfy relational interchange laws into concurrent quantales or Kleene algebras $Q$. The
James Cranch, Simon Doherty, G. Struth
semanticscholar +1 more source
Relating brain structure images to personality characteristics using 3D convolution neural network
CAAI Transactions on Intelligence Technology, 2021 Zhuhai Laboratory of Key Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education, Zhuhai College of Jilin University, Zhuhai, China Key Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education ...
Lixian Cao +6 more
semanticscholar +1 more source
Research on OpenCL optimization for FPGA deep learning application.
PLoS ONE, 2019 In recent years, with the development of computer science, deep learning is held as competent enough to solve the problem of inference and learning in high dimensional space.
Shuo Zhang +4 more
doaj +1 more source
Adversarial Spatio-Temporal Learning for Video Deblurring
, 2018 Camera shake or target movement often leads to undesired blur effects in videos captured by a hand-held camera. Despite significant efforts having been devoted to video-deblur research, two major challenges remain: 1) how to model the spatio-temporal ...
Li, Hongdong +5 more
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Effective Handwritten Digit Recognition using Deep Convolution Neural Network
International Journal of Advanced Trends in Computer Science and Engineering, 2020 This paper proposed a simple neural network approach towards handwritten digit recognition using convolution. With machine learning algorithms like KNN,SVM/SOM, recognizing digits is considered as one of the unsolvable tasks due to its distinctiveness in
Yellapragada Ss Bharadwaj
semanticscholar +1 more source
, 2018 Modeling statistical regularity plays an essential role in ill-posed image processing problems. Recently, deep learning based methods have been presented to implicitly learn statistical representation of pixel distributions in natural images and leverage
Barnard Kobus +6 more
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