Results 11 to 20 of about 2,159,479 (219)
Euler Representation-Based Structural Balance Discriminant Projection for Machinery Fault Diagnosis
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
doaj +1 more source
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
doaj +1 more source
Dimensional Reduction by Conformal Bootstrap [PDF]
The dimensional reductions in the branched polymer and the random field Ising model (RFIM) are discussed by a conformal bootstrap method. The small size minors are applied for the evaluations of the scale dimensions of these two models and the results ...
Hikami, Shinobu
core +3 more sources
Weighted Kernel Entropy Component Analysis for Fault Diagnosis of Rolling Bearings
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
doaj +1 more source
Gauged supergravity from dimensional reduction [PDF]
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
core +3 more sources
On the Dimensional Reduction Procedure [PDF]
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
core +3 more sources
Compressing Fisher Vector for Robust Face Recognition
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
doaj +1 more source
Dimensional Reduction for Conformal Blocks [PDF]
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
core +2 more sources
Emergence of time persistence in a data-driven neural network model
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
doaj +1 more source
Self-completeness and spontaneous dimensional reduction [PDF]
A viable quantum theory of gravity is one of the biggest challenges facing physicists. We discuss the confluence of two highly expected features which might be instrumental in the quest of a finite and renormalizable quantum gravity -- spontaneous ...
A. Bonanno +42 more
core +3 more sources

