Results 11 to 20 of about 2,142,422 (318)
Jambura Journal of Mathematics, 2023 This paper discusses the performance of the K-Nearest Neighbor Algorithm with dimension reduction using Principal Component Analysis (PCA) in the case of diabetes disease classification.
Aldila Dinanti, Joko Purwadi
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Euler Representation-Based Structural Balance Discriminant Projection for Machinery Fault Diagnosis
Machines, 2023 Fault diagnosis methods are usually sensitive to outliers and it is difficult to obtain and balance global and local discriminant information, which leads to poor separation between classes of low-dimensional discriminant features.
Maoyan Zhang +4 more
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Mathematics, 2023 The problem of QR decomposition is considered one of the fundamental problems commonly encountered in both scientific research and engineering applications.
Jianrong Chen +2 more
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On the Dimensional Reduction Procedure [PDF]
, 2000 The issue related to the so-called dimensional reduction procedure is revisited within the Euclidean formalism. First, it is shown that for symmetric spaces, the local exact heat-kernel density is equal to the reduced one, once the harmonic sum has been ...
Balbinot +38 more
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Gauged supergravity from dimensional reduction [PDF]
, 1997 We perform a generalised Scherk-Schwarz reduction of the effective action of the heterotic string on T6 to obtain a massive N = 4 supergravity theory in four dimensions.
Behrndt +23 more
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Weighted Kernel Entropy Component Analysis for Fault Diagnosis of Rolling Bearings
Sensors, 2017 This paper presents a supervised feature extraction method called weighted kernel entropy component analysis (WKECA) for fault diagnosis of rolling bearings.
Hongdi Zhou +7 more
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Dimensional Reduction for Conformal Blocks [PDF]
, 2016 We consider the dimensional reduction of a CFT, breaking multiplets of the d-dimensional conformal group SO(d+1,1) up into multiplets of SO(d,1). This leads to an expansion of d-dimensional conformal blocks in terms of blocks in d-1 dimensions.
Hogervorst, Matthijs
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Compressing Fisher Vector for Robust Face Recognition
IEEE Access, 2017 One major topic for robust face recognition could be the efficient encoding of facial descriptors. Among various encoders, Fisher vector (FV) is one of the probabilistic methods that yield promising results.
Hongjun Wang, Jiani Hu, Weihong Deng
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The dynamics of coset dimensional reduction [PDF]
, 2006 The evolution of multiple scalar fields in cosmology has been much studied, particularly when the potential is formed from a series of exponentials. For a certain subclass of such systems it is possible to get `assisted` behaviour, where the presence of ...
B. S. DeWit +4 more
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Emergence of time persistence in a data-driven neural network model
eLife, 2023 Establishing accurate as well as interpretable models of network activity is an open challenge in systems neuroscience. Here, we infer an energy-based model of the anterior rhombencephalic turning region (ARTR), a circuit that controls zebrafish swimming
Sebastien Wolf +4 more
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