Results 31 to 40 of about 196,468 (204)
For efficient exploitation of research reactors, it is important to discern neutron flux distribution inside the reactor with the best possible precision. For this reason, fission and ionization chambers are used to measure the neutron field.
Mounia Laassiri +2 more
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In this paper, we obtain a sharp upper bound on the spectral radius of a nonnegative k-uniform tensor and characterize when this bound is achieved. Furthermore, this result deduces the main result in [X. Duan and B.
Chuang Lv, Lihua You, Xiao-Dong Zhang
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The dominant eigenvalue of an essentially nonnegative tensor [PDF]
SUMMARYIt is well known that the dominant eigenvalue of a real essentially nonnegative matrix is a convex function of its diagonal entries. This convexity is of practical importance in population biology, graph theory, demography, analytic hierarchy process, and so on. In this paper, the concept of essentially nonnegativity is extended from matrices to
Liping Zhang 0008 +3 more
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A survey on the spectral theory of nonnegative tensors [PDF]
SUMMARYThis is a survey paper on the recent development of the spectral theory of nonnegative tensors and its applications. After a brief review of the basic definitions on tensors, the H‐eigenvalue problem and the Z‐eigenvalue problem for tensors are studied separately.
Kung-Ching Chang +2 more
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Video tamper detection method based on nonnegative tensor factorization
The authenticity and integrity of video authentication is one of the important contents in information security field.A video tampering detection method based on non-negative tensor decomposition was proposed for video inter-frame tampering.First of all ...
Xue-li ZHANG,Tian-qiang HUANG,Wei HUANG +1 more
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Sparse and Low-Rank Constrained Tensor Factorization for Hyperspectral Image Unmixing
Third-order tensors have been widely used in hyperspectral remote sensing because of their ability to maintain the 3-D structure of hyperspectral images.
Pan Zheng, Hongjun Su, Qian Du
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Discriminant Nonnegative Tensor Factorization Algorithms [PDF]
Nonnegative matrix factorization (NMF) has proven to be very successful for image analysis, especially for object representation and recognition. NMF requires the object tensor (with valence more than one) to be vectorized. This procedure may result in information loss since the local object structure is lost due to vectorization. Recently, in order to
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Nonnegative biquadratic tensors
An M-eigenvalue of a nonnegative biquadratic tensor is referred to as an M$^+$-eigenvalue if it has a pair of nonnegative M-eigenvectors. If furthermore that pair of M-eigenvectors is positive, then that M$^+$-eigenvalue is called an M$^{++}$-eigenvalue.
Chunfeng Cui, Liqun Qi 0001
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A Proximal Approach for Nonnegative Tensor Decomposition [PDF]
This communication deals with N-th order tensor decompositions. More precisely, we are interested in the (Canonical) Polyadic Decomposition. In our case, this problem is formulated under a variational approach where the considered criterion to be minimized is composed of several terms: one accounting for the fidelity to data and others that can ...
Vu, Xuan +3 more
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A modified Newton iteration for finding nonnegative Z-eigenpairs of a nonnegative tensor [PDF]
We propose a modified Newton iteration for finding some nonnegative Z-eigenpairs of a nonnegative tensor. When the tensor is irreducible, all nonnegative eigenpairs are known to be positive. We prove local quadratic convergence of the new iteration to any positive eigenpair of a nonnegative tensor, under the usual assumption guaranteeing the local ...
Chun-Hua Guo +2 more
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