Results 31 to 40 of about 12,007,100 (152)
Wasit Journal of Engineering Sciences, 2013 This paper presents a subspace method of spot centroiding algorithm for locating the centers of laser spots. It focuses on how to find the position of the activated pixel which is the position of the imaged spot on the detector of the camera using ...
Azad Raheem Kareem
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Multi-view clustering via simultaneously learning shared subspace and affinity matrix
International Journal of Advanced Robotic Systems, 2017 Due to the existence of multiple views in many real-world data sets, multi-view clustering is increasingly popular. Many approaches have been investigated, among which the subspace clustering methods finding the underlying subspaces of data have been ...
Nan Xu +4 more
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Subspace system identification
Iranian Journal of Electrical and Electronic Engineering, 2005 We give a general overview of the state-of-the-art in subspace system identification methods. We have restricted ourselves to the most important ideas and developments since the methods appeared in the late eighties.
J. Poshtan, H. Mojallali
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Face Recognition Using Classification-Based Linear Projections
EURASIP Journal on Advances in Signal Processing, 2008 Subspace methods have been successfully applied to face recognition tasks. In this study we propose a face recognition algorithm based on a linear subspace projection. The subspace is found via utilizing a variant of the neighbourhood component analysis (
Jacob Goldberger, Moshe Butman
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Multiple Kernel Subspace Clustering Based on Consensus Hilbert Space and Second-Order Neighbors
IEEE Access, 2020 How to deal with data sets in high-dimensional space is the focus of image processing. At present, subspace clustering method is one of the most commonly used methods for processing high-dimensional data sets. Traditional subspace clustering assumes that
Zhongyuan Wang, Jinglei Liu
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Subspace Tracking Based Blind MIMO Transmit Preprocessing
, 2007 In this contribution projection approximation subspace tracking using deflation (PASTD) is investigated in the context of MIMO transmit preprocessing systems by exploiting the specific property of Time Division Duplexing (TDD) techniques that the uplink ...
Liu, W., Yang, L.L., Hanzo, L.
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IEEE Access, 2018 With the increasing demand for unsupervised learning for fault diagnosis, the subspace clustering has been considered as a promising technique enabling unsupervised fault diagnosis. Although various subspace clustering methods have been developed to deal
Jie Gao +4 more
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SSA of biomedical signals: A linear invariant systems approach [PDF]
, 2010 Singular spectrum analysis (SSA) is considered from a linear invariant systems perspective. In this terminology, the extracted components are considered as outputs of a linear invariant system which corresponds to finite impulse response (FIR) filters ...
Figueiredo, Nuno +7 more
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Journal of Electrical and Computer Engineering, 2010 We propose a subspace-tracking-based space-time adaptive processing technique for airborne radar applications. By applying a modified approximated power iteration subspace tracing algorithm, the principal subspace in which the clutter-plus-interference ...
Yang Zhiwei +3 more
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Matched direction detectors and estimators for array processing with subspace steering vector uncertainties [PDF]
, 2005 In this paper, we consider the problem of estimating and detecting a signal whose associated spatial signature is known to lie in a given linear subspace but whose coordinates in this subspace are otherwise unknown, in the presence of subspace ...
Besson, Olivier +2 more
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