Results 21 to 30 of about 27,115 (309)
Robust auto-weighted multi-view subspace clustering with common subspace representation matrix. [PDF]
PLoS ONE, 2017 In many computer vision and machine learning applications, the data sets distribute on certain low-dimensional subspaces. Subspace clustering is a powerful technology to find the underlying subspaces and cluster data points correctly.
Wenzhang Zhuge +5 more
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Comparative analysis of power spectrum estimation methods
Lietuvos Matematikos Rinkinys, 2010 The subject of this paper is the comparative analysis of the eleven most important nonparametric, parametric and subspace power spectrum estimation methods.
Gintarė Petreikytė, Kazys Kazlauskas
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Kron’s method of subspaces [PDF]
Quarterly of Applied Mathematics, 1944 Not ...
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On the Preconditioned Delayed Weighted Gradient Method
Trends in Computational and Applied Mathematics, 2023 In this article a preconditioned version of the Delayed Weighted Gradient Method (DWGM) is presented and analyzed. In addition to the convergence, some nice properties as the A- orthogonality of the current transformed gradient with all the previous ...
R. Aleixo, H. Lara Urdaneta
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Subspace System Identification of the Kalman Filter [PDF]
Modeling, Identification and Control, 2003 Some proofs concerning a subspace identification algorithm are presented. It is proved that the Kalman filter gain and the noise innovations process can be identified directly from known input and output data without explicitly solving the Riccati ...
David Di Ruscio
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Multiway Filtering Based on Fourth-Order Cumulants
EURASIP Journal on Advances in Signal Processing, 2005 We propose a new multiway filtering based on fourth-order cumulants for the denoising of noisy data tensor with correlated Gaussian noise. The classical multiway filtering is based on the TUCKALS3 algorithm that computes a lower-rank tensor ...
Muti Damien, Bourennane Salah
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Extended Averaged Learning Subspace Method for Hyperspectral Data Classification
Sensors, 2009 Averaged learning subspace methods (ALSM) have the advantage of being easily implemented and appear to outperform in classification problems of hyperspectral images.
Yoshifumi Yasuoka +4 more
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Cone-restricted subspace methods [PDF]
2008 19th International Conference on Pattern Recognition, 2008 In pattern recognition, feature vectors are occasionally subject to non-negative constraints. This characteristic can be expressed by a cone in feature vector space. In this paper, we propose cone-restricted subspace methods. The proposed methods admit the scaling and additivity of vectors as well as ordinary subspace methods; in addition, vectors can ...
Takumi Kobayashi, Nobuyuki Otsu
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Advanced Functional Materials, EarlyView.This study demonstrates coherent control of 15N nuclear spins coupled to VB−${\text{V}}_{\text{B}}^{-}$ centers in isotope‐enriched hexagonal boron nitride. Selective addressing via spin‐state mixing enables Rabi driving, quantum gates, and coherence times exceeding 10 μs$\umu{\rm s}$.
Adalbert Tibiássy +6 more
wiley +1 more source
Imaging of Biphoton States: Fundamentals and Applications
Advanced Functional Materials, EarlyView.Quantum states of two photons exhibit a rich polarization and spatial structure, which provides a fundamental resource of strongly correlated and entangled states. This review analyzes the physics of these intriguing properties and explores the various techniques and technologies available to measure them, including the state of the art of their ...
Alessio D'Errico, Ebrahim Karimi
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