Results 11 to 20 of about 516,084 (257)
FCNet: A feature context network based on ensemble framework for image retrieval
IET Computer Vision, 2022 In order to train an end‐to‐end model for better performance in distinguishing superclasses and make the model more sensitive to inter‐class differences, the authors propose a Feature Context Network (FCNet), a novel ensemble framework for image ...
Siyang Li +7 more
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Measurement Science Review, 2022 Down syndrome (DS) or Trisomy 21 is a genetic disorder that causes intellectual and mental disability in fetuses. The most essential marker for detecting DS during the first trimester of pregnancy is nuchal translucency (NT).
Thomas Mary Christeena +1 more
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Generalized convolutions V [PDF]
Studia Mathematica, 1973 This paper is a continuation of part III, ibid. 80, 167-189 (1984; Zbl 0561.60019). It deals with generalized convolution algebras (\({\mathcal P},\circ)\), i.e. \({\mathcal P}\) is the set of all probability measures on the positive half-line and ``\(\circ ''\) is a generalized convolution of measures from \({\mathcal P}\).
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Convolution in Convolution for Network in Network [PDF]
IEEE Transactions on Neural Networks and Learning Systems, 2018 A method of Convolutional Neural ...
Pang, Yanwei +4 more
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Convolutional Gated MLP: Combining Convolutions & gMLP
, 2021 Conference
Rajagopal, A., Nirmala, V.
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ASSOCIATIVE CONVOLUTIONS ARISING FROM CONDITIONALLY FREE CONVOLUTION [PDF]
Infinite Dimensional Analysis, Quantum Probability and Related Topics, 2005 We define two families of deformations of probability measures depending on the second free cumulants and the corresponding new associative convolutions arising from the conditionally free convolution. These deformations do not commute with dilation of measures, which means that the limit theorems cannot be obtained as a direct application of the ...
Krystek, Anna Dorota +1 more
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International Statistical Review / Revue Internationale de Statistique, 1999 SummaryA general convolution theorem within a Bayesian framework is presented. Consider estimation of the Euclidean parameter θ by an estimator T within a parametric model. Let W be a prior distribution for θ and define G as the W‐average of the distribution of T ‐ θ under θ.
van den Heuvel, E.R., Klaassen, C.A.J.
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Collocating Convolutions [PDF]
Mathematics of Computation, 1995 An explicit method is derived for collocating either of the convolution integrals p ( x ) = ∫ a x f ( x − t ) g ( t ) d t p(x) = \smallint _a^xf(x - t)g(t)dt or q (
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Digital filters: hermitian, antihermitian, unitary and their applications
Technical Transactions, 2017 The paper presents the relation between the three types of noncausal digital filters: unitary, Hermitian and antihermitian filters. A decomposition has been made of a causal filter into a Hermitian and unitary filter cascade, and the use of this ...
Siwczyński Maciej, Jaraczewski Marcin
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Predicting Index Trend Using Hybrid Neural Networks with a Focus on Multi-Scale Temporal Feature Extraction in the Tehran Stock Exchange [PDF]
تحقیقات مالیObjectivePredicting the future trends in financial markets stands as a critical task for both investors and researchers, given its pivotal role in enabling well-informed decision-making processes and effective risk management strategies.
Mohammad Osoolian +2 more
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