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An operational calculus for a Mehler-Fock type index transform on distributions of compact support
Revista De La Real Academia De Ciencias Exactas, Fisicas Y Naturales - Serie A: Matematicas, 2022zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Hari Mohan Srivastava +2 more
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The Kontorovich–Lebedev transformation on distributions of compact support and its inversion
Mathematical Proceedings of the Cambridge Philosophical Society, 19751. During the past decade a variety of integral transformations have been extended to various classes of distributions. However, one important integral transformation, which has defied such generalization, is the Kontorovich–Lebedev transformation. The objective of this note is to alter that situation.
A. Zemanian
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Page 56: In the estimate , C1 = CSn/(2πσ)n, h = (2πσ)−1 where σ depends on y. Therefore, {fy(t)} may not be bounded in as y → 0, y ∈ C′.
R. S. Pathak
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Time-Frequency Distributions Based on Compact Support Kernels: Properties and Performance Evaluation
IEEE Transactions on Signal Processing, 2012Adel Belouchrani +2 more
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8.4 Fourier transform of distributions with compact support
2012P. K. Bhattacharyya
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Mixture modeling with compact support distributions for unsupervised learning
IEEE International Joint Conference on Neural Network, 2016Debarghya Ghoshdastidar
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Dynamic Support Network for Few-Shot Class Incremental Learning
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022Few-shot class-incremental learning (FSCIL) is challenged by catastrophically forgetting old classes and over-fitting new classes. Revealed by our analyses, the problems are caused by feature distribution crumbling, which leads to class confusion when ...
Boyu Yang +6 more
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Choosing compact support of radial basis function based on landmarks space distribution
SPIE Proceedings, 2007In image local elastic transformation, compact support radial basis functions are used to implement image elastic deformation. The elastic deformation area is related to the support of the radial basis function. However, how to choose the support based on space distribution of landmarks still is an unresolved problem.
Xuan Yang, Jihong Pei, Zhixiong Zhang
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