Results 61 to 70 of about 776,491 (337)
Memory kernel approach to generalized Pauli channels: Markovian, semi-Markov, and beyond [PDF]
, 2017 In this paper, we analyze the evolution of the generalized Pauli channels governed by the memory kernel master equation. We provide necessary and sufficient conditions for the memory kernel to give rise to the legitimate (completely positive and trace ...
Katarzyna Siudzi'nska, D. Chru'sci'nski
semanticscholar +1 more source
Transformation of Hand-Shape Features for a Biometric Identification Approach
Sensors, 2012 The present work presents a biometric identification system for hand shape identification. The different contours have been coded based on angular descriptions forming a Markov chain descriptor.
Jesús B. Alonso +2 more
doaj +1 more source
Proceedings of the International Florida Artificial Intelligence Research Society Conference, 2022 In this paper, we propose a novel hybrid discriminative generative model by integrating a modified version of hidden Markov model (HMM), multivariate Beta-based HMM with support vector machine (SVM). We apply Fisher Kernel to define decision boundary and
Narges Manouchehri, Nizar Bouguila
doaj +1 more source
Time inhomogeneous Markov chains with wave-like behavior
, 2010 Starting from a given Markov kernel on a finite set $V$ and a bijection $g$ of $V$, we construct and study a time inhomogeneous Markov chain whose kernel at time $n$ is obtained from $K$ by transport of $g^{n-1}$.
Saloff-Coste, L., Zúñiga, J.
core +1 more source
Non ultracontractive heat kernel bounds by Lyapunov conditions [PDF]
, 2013 Nash and Sobolev inequalities are known to be equivalent to ultracontractive properties of heat-like Markov semigroups, hence to uniform on-diagonal bounds on their kernel densities.
Bolley, François +2 more
core +3 more sources
Regularity of transition semigroups associated to a 3D stochastic Navier-Stokes equation
, 2006 A 3D stochastic Navier-Stokes equation with a suitable non degenerate additive noise is considered. The regularity in the initial conditions of every Markov transition kernel associated to the equation is studied by a simple direct approach. A by-product
Flandoli, F., Romito, M.
core +2 more sources
Markov Kernels Local Aggregation for Noise Vanishing Distribution Sampling
SIAM Journal on Mathematics of Data Science, 2022 A novel strategy that combines a given collection of $\pi$-reversible Markov kernels is proposed. At each Markov transition, one of the available kernels is selected via a state-dependent probability distribution. In contrast to random-scan type approaches that assume a constant (i.e.
Maire, Florian, Vandekerkhove, Pierre
openaire +4 more sources
Advanced Science, EarlyView.This study proposes a degradation estimation technique to explicitly describe compressive sampling for low‐sampling Hadamard single‐pixel imaging. Blur kernels in explicit degradation models are estimated by the self‐supervised learning method without labeled data and implicit priors.
Haoyu Zhang +4 more
wiley +1 more source
The Category of Markov Kernels
Electronic Notes in Theoretical Computer Science, 1999 AbstractMarkov kernels are fundamental objects in probability theory. One can define a category based on Markov kernels which has many of the formal properties of the ordinary category of relations. In the present paper we will examine the categorical properties of Markov kernels and stress the analogies and differences with the category of relations ...
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Advanced Science, EarlyView.HiST, a multiscale deep learning framework, reconstructs spatially resolved gene expression profiles directly from histological images. It accurately identifies tumor regions, captures intratumoral heterogeneity, and predicts patient prognosis and immunotherapy response.
Wei Li +8 more
wiley +1 more source