Results 11 to 20 of about 92,198 (268)
Multiscale-Spectral GFEM and optimal oversampling [PDF]
Computer Methods in Applied Mechanics and Engineering, 2020 In this work we address the Multiscale Spectral Generalized Finite Element Method (MS-GFEM) developed in [I. Babu ka and R. Lipton, Multiscale Modeling and Simulation 9 (2011), pp. 373--406]. We outline the numerical implementation of this method and present simulations that demonstrate contrast independent exponential convergence of MS-GFEM solutions.
Babuška, Ivo +3 more
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PLoS ONE, 2020 One of the fundamental challenges when dealing with medical imaging datasets is class imbalance. Class imbalance happens where an instance in the class of interest is relatively low, when compared to the rest of the data.
Kevin Teh +4 more
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Oversampling of wavelet frames for real dilations [PDF]
, 2012 We generalize the Second Oversampling Theorem for wavelet frames and dual wavelet frames from the setting of integer dilations to real dilations. We also study the relationship between dilation matrix oversampling of semi-orthogonal Parseval wavelet ...
Bownik, Marcin, Lemvig, Jakob
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Oversampled filter banks [PDF]
IEEE Transactions on Signal Processing, 1998 Perfect reconstruction oversampled filter banks are equivalent to a particular class of frames in l/sup 2/(Z). These frames are the subject of this paper. First, the necessary and sufficient conditions of a filter bank for implementing a frame or a tight frame expansion are established, as well as a necessary and sufficient condition for perfect ...
Cvetkovic, Z, Vetterli, M
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Handling oversampling in dynamic networks using link prediction [PDF]
, 2015 Oversampling is a common characteristic of data representing dynamic networks. It introduces noise into representations of dynamic networks, but there has been little work so far to compensate for it. Oversampling can affect the quality of many important
A-L Barabási +10 more
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A Hybrid GAN-Based Approach to Solve Imbalanced Data Problem in Recommendation Systems
IEEE Access, 2022 With the advent of information technology, the amount of online data generation has been massive. Recommendation systems have become an effective tool in filtering information and solving the problem of information overload.
Wafa Shafqat, Yung-Cheol Byun
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Frontiers in Materials, 2022 Digital twins in the mechanics of materials usually involve multimodal data in the sense that an instance of a mechanical component has both experimental and simulated data.
Axel Aublet +4 more
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The Synthetic-Oversampling Method: Using Photometric Colors to Discover Extremely Metal-Poor Stars [PDF]
, 2015 Extremely metal-poor (EMP) stars ([Fe/H] < -3.0 dex) provide a unique window into understanding the first generation of stars and early chemical enrichment of the Universe.
Miller, A. A.
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Deep Learning-Based Imbalanced Classification With Fuzzy Support Vector Machine
Frontiers in Bioengineering and Biotechnology, 2022 Imbalanced classification is widespread in the fields of medical diagnosis, biomedicine, smart city and Internet of Things. The imbalance of data distribution makes traditional classification methods more biased towards majority classes and ignores the ...
Ke-Fan Wang +6 more
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Adaptive equalization in oversampled subbands [PDF]
Conference Record of Thirty-Second Asilomar Conference on Signals, Systems and Computers (Cat. No.98CH36284), 1998 The potential presence of fractional delays, nonminimum phase parts, and a colouring of the channel output can require adaptive equalisers to adapt very long filters, which can have slow convergence for LMS-type adaptive algorithms. The authors present a novel oversampled subband approach to adaptive equalisation, which can both significantly reduce ...
Weiß, S. +3 more
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