Results 41 to 50 of about 33,561,195 (290)
Invariance in Kernel Methods by Haar-Integration Kernels [PDF]
, 2005 We address the problem of incorporating transformation invariance in kernels for pattern analysis with kernel methods. We introduce a new class of kernels by so called Haar-integration over transformations. This results in kernel functions, which are positive definite, have adjustable invariance, can capture simultaneously various continuous or ...
Haasdonk, Bernard +2 more
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Functional Ergodic Time Series Analysis Using Expectile Regression
Mathematics, 2022 In this article, we study the problem of the recursive estimator of the expectile regression of a scalar variable Y given a random variable X that belongs in functional space.
Fatimah Alshahrani +5 more
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Attributed Relational SIFT-Based Regions Graph: Concepts and Applications
Machine Learning and Knowledge Extraction, 2020 In the real world, structured data are increasingly represented by graphs. In general, the applications concern the most varied fields, and the data need to be represented in terms of local and spatial connections.
Mario Manzo
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A novel approach to attention mechanism using kernel functions: Kerformer
Frontiers in Neurorobotics, 2023 Artificial Intelligence (AI) is driving advancements across various fields by simulating and enhancing human intelligence. In Natural Language Processing (NLP), transformer models like the Kerformer, a linear transformer based on a kernel approach, have ...
Yao Gan +3 more
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An efficient reproducing kernel method for solving the Allen-Cahn equation
Applied Mathematics Letters, 2019 In this paper, an efficient reproducing kernel method combined with the finite difference method and the Quasi-Newton method is proposed to solve the Allen–Cahn equation.
J. Niu, Minqiang Xu, G. Yao
semanticscholar +1 more source
Further enumeration results concerning a recent equivalence of restricted inversion sequences [PDF]
Discrete Mathematics & Theoretical Computer Science, 2022 Let asc and desc denote respectively the statistics recording the number of ascents or descents in a sequence having non-negative integer entries.
Toufik Mansour, Mark Shattuck
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Frontiers in Neuroscience, 2018 This paper presents a novel real-time dynamic framework for quantifying time-series structure in spoken words using spikes. Audio signals are converted into multi-channel spike trains using a biologically-inspired leaky integrate-and-fire (LIF) spike ...
Kan Li, José C. Príncipe
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IEEE Access, 2020 Rolling element bearings are important components in various types of industrial equipment. It is necessary to develop advanced fault diagnosis techniques to prevent unexpected accidents caused by bearing failures.
Xuejun Zhao +3 more
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High Temporal-Resolution Dynamic PET Image Reconstruction Using a New Spatiotemporal Kernel Method
bioRxiv, 2018 Current clinical dynamic PET has an effective temporal resolution of 5-10 seconds, which can be adequate for traditional compartmental modeling but is inadequate for exploiting the benefit of more advanced tracer kinetic modeling.
Guobao Wang
semanticscholar +1 more source
Kernel Methods for Surrogate Modeling
CoRR, 2019 This chapter deals with kernel methods as a special class of techniques for surrogate modeling. Kernel methods have proven to be efficient in machine learning, pattern recognition and signal analysis due to their flexibility, excellent experimental performance and elegant functional analytic background.
Santin G., Haasdonk B.
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