Results 11 to 20 of about 1,581,096 (371)
Entropy, 2021 The pervasive presence of artificial intelligence (AI) in our everyday life has nourished the pursuit of explainable AI. Since the dawn of AI, logic has been widely used to express, in a human-friendly fashion, the internal process that led an (intelligent) system to deliver a specific output.
Mirko Polato, Fabio Aiolli
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Scaling Up Your Kernels to 31×31: Revisiting Large Kernel Design in CNNs [PDF]
Computer Vision and Pattern Recognition, 2022 We revisit large kernel design in modern convolutional neural networks (CNNs). Inspired by recent advances in vision transformers (ViTs), in this paper, we demonstrate that using a few large convolutional kernels instead of a stack of small kernels could
Xiaohan Ding +5 more
semanticscholar +1 more source
Journal of the ACM, 2009 In a parameterized problem, every instance I comes with a positive integer k . The problem is said to admit a polynomial kernel if, in polynomial time, one can reduce the size of the instance I to a polynomial in k while preserving the answer ...
Hans L. Bodlaender +5 more
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Data‐driven performance metrics for neural network learning
International Journal of Adaptive Control and Signal Processing, EarlyView., 2023 Summary Effectiveness of data‐driven neural learning in terms of both local mimima trapping and convergence rate is addressed. Such issues are investigated in a case study involving the training of one‐hidden‐layer feedforward neural networks with the extended Kalman filter, which reduces the search for the optimal network parameters to a state ...
Angelo Alessandri +2 more
wiley +1 more source
Selective Kernel Networks [PDF]
Computer Vision and Pattern Recognition, 2019 In standard Convolutional Neural Networks (CNNs), the receptive fields of artificial neurons in each layer are designed to share the same size. It is well-known in the neuroscience community that the receptive field size of visual cortical neurons are ...
Xiang Li +3 more
semanticscholar +1 more source
Forum of Mathematics, Sigma, 2022 Abstract We state a sufficient condition for a fusion system to be saturated. This is then used to investigate localities with kernels: that is, localities that are (in a particular way) extensions of groups by localities. As an application of these results, we define and study certain products in fusion systems and localities, thus giving a new ...
Valentina Grazian, Ellen Henke
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Proceedings of the 49th Annual ACM SIGACT Symposium on Theory of Computing, 2017 58 pages. Version 2 contain new results: PSAKS for Cycle Packing and approximate kernel lower bounds for Set Cover and Hitting Set parameterized by universe ...
Daniel Lokshtanov +3 more
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New Fractional Derivatives with Nonlocal and Non-Singular Kernel: Theory and Application to Heat Transfer Model [PDF]
, 2016 In this manuscript we proposed a new fractional derivative with non-local and no-singular kernel. We presented some useful properties of the new derivative and applied it to solve the fractional heat transfer model.
A. Atangana, D. Baleanu
semanticscholar +1 more source
Bidimensionality and Kernels [PDF]
SIAM Journal on Computing, 2010 Bidimensionality Theory was introduced by [E.D. Demaine, F.V. Fomin, M.Hajiaghayi, and D.M. Thilikos. Subexponential parameterized algorithms on graphs of bounded genus and H-minor-free graphs, J. ACM, 52 (2005), pp.866--893] as a tool to obtain sub-exponential time parameterized algorithms on H-minor-free graphs. In [E.D.
Fedor V. Fomin +3 more
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