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Separable Statistics and Multidimensional Linear Cryptanalysis
IACR Transactions on Symmetric Cryptology, 2018 Multidimensional linear cryptanalysis of block ciphers is improved in this work by introducing a number of new ideas. Firstly, formulae is given to compute approximate multidimensional distributions of the encryption algorithm internal bits. Conventional
Stian Fauskanger, Igor Semaev
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Entanglement of Local Hidden States [PDF]
Quantum, 2022 Steering criteria are conditions whose violation excludes the possibility of describing the observed measurement statistics with local hidden state (LHS) models.
Matteo Fadel, Manuel Gessner
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Central Limit Theorem in View of Subspace Convex-Cyclic Operators [PDF]
Қарағанды университетінің хабаршысы. Математика сериясы, 2021 In our work we have defined an operator called subspace convex-cyclic operator. The property of this newly defined operator relates eigenvalues which have eigenvectors of modulus one with kernels of the operator.
H.M. Hasan +3 more
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Adaptively Setting the Path Length for Separable Shadow Hamiltonian Hybrid Monte Carlo
IEEE Access, 2021 Hybrid Monte Carlo (HMC) has been widely applied to numerous posterior inference problems in machine learning and statistics. HMC has two main practical issues, the first is the deterioration in acceptance rates as the system size increases and the ...
Wilson Tsakane Mongwe +2 more
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Dynamic structure of motor cortical neuron coactivity carries behaviorally relevant information
Network Neuroscience, 2023 Skillful, voluntary movements are underpinned by computations performed by networks of interconnected neurons in the primary motor cortex (M1). Computations are reflected by patterns of coactivity between neurons.
Marina Sundiang +2 more
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Probabilities for separating sets of order statistics [PDF]
Statistics, 2009 Consider a set of order statistics that arise from sorting samples from two different populations, each with their own, possibly different distribution functions. The probability that these order statistics fall in disjoint, ordered intervals and that of the smallest statistics, a certain number come from the first populations is given in terms of the ...
D H, Glueck +3 more
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A Semi-Automated Statistical Algorithm for Object Separation [PDF]
Circuits, Systems, and Signal Processing, 2013 We explicate a semi-automated statistical algorithm for object identification and segregation in both gray scale and color images. The algorithm makes optimal use of the observation that definite objects in an image are typically represented by pixel values having narrow Gaussian distributions about characteristic mean values. Furthermore, for visually
Madhur Srivastava +2 more
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Operational Algorithms for Separable Qubit X States
Condensed Matter, 2019 This work motivates and applies operational methodology to simulation of quantum statistics of separable qubit X states. Three operational algorithms for evaluating separability probability distributions are put forward.
Demosthenes Ellinas
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Frontiers in Neurology, 2021 Apathy, fatigue and depression are amongst the most debilitating non-motor syndromes of Parkinson's disease (PD). The aim of this study was to examine the prevalence of apathy, depression, anxiety and fatigue and whether these syndromes are separable in ...
Christian Ineichen, Heide Baumann-Vogel
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Noise modelling and estimation of hyperspectral data from airborne imaging spectrometers
Annals of Geophysics, 2006 The definition of noise models suitable for hyperspectral data is slightly different depending on whether whiskbroom or push-broom are dealt with. Focussing on the latter type (e.g., VIRS-200) the noise is intrinsically non-stationary in the raw digital ...
I. Pippi +6 more
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