Results 31 to 40 of about 11,070,228 (147)
Broadband angle of arrival estimation methods in a polynomial matrix decomposition framework [PDF]
, 2013 A large family of broadband angle of arrival estimation algorithms are based on the coherent signal subspace (CSS) method, whereby focussing matrices appropriately align covariance matrices across narrowband frequency bins.
Weiss, Stephan +4 more
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Matched subspace detection with hypothesis dependent noise power [PDF]
, 2008 We consider the problem of detecting a subspace signal in white Gaussian noise when the noise power may be different under the null hypothesis—where it is assumed to be known—and the alternative hypothesis.
Cédric Richard +8 more
core +2 more sources
Dynamic generalized principal component analysis with applications to fault subspace modeling
Tongxin xuebao, 2022 In order to solve the problem of inaccurate modeling of fault subspace, traditional fault subspace modeling method did not consider the fact that fault data contain both normal and fault condition information, or did not consider the dynamic factors in ...
Xiaofeng FENG, Jianfeng XU, Chuan HE
doaj +2 more sources
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
doaj +1 more source
IET Computer Vision, 2016 Automatic face detection is a challenging task for computer vision and pattern recognition applications such as video surveillance and traffic monitoring.
Janthakal Rajeshwari +2 more
doaj +1 more source
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
doaj +1 more source
PSubCLUS: A Parallel Subspace Clustering Algorithm Based On Spark
IEEE Access, 2021 Clustering is one of the most important unsupervised machine learning tasks. It is widely used to solve problems of intrusion detection, text analysis, image segmentation etc.
Xiao Wen, Hu Juan
doaj +1 more source
Concurrent Subspace Optimization Method for Wing Layout Design
Hangkong gongcheng jinzhan, 2019 The layout merits of wing internals can influence the weight of wing structure greatly, so it is necessary to perform the layout optimization design. The concurrent subspace optimization method is used to solve the layout optimization problem of wings ...
Wang Yi, Yao Weixing, Liu Meng
doaj +1 more source
Characterizing the Dynamic Response of a Chassis Frame in a Heavy-Duty Dump Vehicle based on an Improved Stochastic System Identification [PDF]
, 2015 This paper presents an online method for the assessment of the dynamic performance of the chassis frame in a heavy-duty dump truck based on a novel stochastic subspace identification (SSI) method. It introduces the use of an average correlation signal as
Chen, Zhi +3 more
core +4 more sources
Improved SR-SSIM Band Selection Method Based on Band Subspace Partition
Remote Sensing, 2023 Scholars have performed much research on reducing the redundancy of hyperspectral data. As a measure of the similarity between hyperspectral bands, structural similarity is used in band selection methods.
Tingrui Hu +3 more
doaj +1 more source