Results 31 to 40 of about 305,718 (72)
Dimensional Reduction in Non-Supersymmetric Theories [PDF]
Z. Phys. C62 (1994) 161-166, 1993 It is shown that regularisation by dimensional reduction is a viable alternative to dimensional regularisation in non-supersymmetric theories.
arxiv +1 more source
Quantum resonant dimensionality reduction
Physical Review ResearchQuantum computing is a promising candidate for accelerating machine learning tasks. Limited by the control accuracy of current quantum hardware, reducing the consumption of quantum resources is the key to achieving quantum advantage.
Fan Yang +6 more
doaj +1 more source
Dimensionality Reduction by Similarity Distance-Based Hypergraph Embedding
Atmosphere, 2022 Dimensionality reduction (DR) is an essential pre-processing step for hyperspectral image processing and analysis. However, the complex relationship among several sample clusters, which reveals more intrinsic information about samples but cannot be ...
Xingchen Shen, Shixu Fang, Wenwen Qiang
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A gap between two approaches of dimensional reduction for a six-dimensional Kaluza-Klein theory [PDF]
Eur. Phys. J. Plus 140, 149 (2025)Inspired by the five-dimensional Kaluza-Klein theory, we would like to study the dimensional reduction issue of six-dimensional Kaluza-Klein extension in this paper. In particular, we will examine two possible approaches of dimensional reduction from six-dimensional spacetimes to four-dimensional ones. The first one is a direct dimensional reduction, i.
arxiv +1 more source
On the consistency of coset space dimensional reduction [PDF]
Phys.Lett.B656:152-157,2007, 2007 In this letter we consider higher-dimensional Yang-Mills theories and examine their consistent coset space dimensional reduction. Utilizing a suitable ansatz and imposing a simple set of constraints we determine the four-dimensional gauge theory obtained from the reduction of both the higher-dimensional Lagrangian and the corresponding equations of ...
arxiv +1 more source
Nonlinear dimensionality reduction in climate data [PDF]
Nonlinear Processes in Geophysics, 2004 Linear methods of dimensionality reduction are useful tools for handling and interpreting high dimensional data. However, the cumulative variance explained by each of the subspaces in which the data space is decomposed may show a slow convergence that ...
A. J. Gámez +3 more
doaj
Reduction algorithm based on supervised discriminant projection for network security data
Tongxin xuebao, 2021 In response to the problem that for dimensionality reduction, traditional manifold learning algorithm did not consider the raw data category information, and the degree of clustering was generally at a low level, a manifold learning dimensionality ...
Fangfang GUO +3 more
doaj +2 more sources
Three-dimensional matching is NP-Hard [PDF]
arXiv, 2020 The standard proof of NP-Hardness of 3DM provides a power-$4$ reduction of 3SAT to 3DM. In this note, we provide a linear-time reduction. Under the exponential time hypothesis, this reduction improves the runtime lower bound from $2^{o(\sqrt[4]{m})}$ (under the standard reduction) to $2^{o(m)}$.
arxiv
Non-negative Dimensionality Reduction for Mammogram Classification [PDF]
Journal of Electrical and Electronics Engineering, 2009 Directly classifying high dimensional datamay exhibit the ``curse of dimensionality'' issue thatwould negatively influence the classificationperformance with an increase in the computationalload, depending also on the classifier structure.
I. Buciu, A. Gacsadi
doaj
Dimensional Reduction by Conformal Bootstrap [PDF]
, 2018 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 are compared to D'=D-2 dimensional Yang-Lee edge singularity and to pure D'=D-2 dimensional Ising ...
arxiv +1 more source