Results 11 to 20 of about 11,070,228 (147)
Subspace discovery for video anomaly detection [PDF]
, 2010 PhDIn automated video surveillance anomaly detection is a challenging task. We address this task as a novelty detection problem where pattern description is limited and labelling information is available only for a small sample of normal instances.
Tziakos, Ioannis
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Novel algorithms in wireless CDMA systems for estimation and kernel based equalization [PDF]
, 2012 This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.A powerful technique is presented for joint blind channel estimation and carrier offset method for code- division multiple access (CDMA) communication ...
Vlachos, Dimitrios
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Anomaly Community Detection Method via Subspace Combining Node Attribute and Structure Information [PDF]
Jisuanji gongcheng, 2020 This paper proposes an anomaly community detection method via subspace by combining node attributes with structure information.First,in the given set of to-be-tested communities,the subspace solution strategy based on the average distance of attributes ...
ZHAO Qiqi, MA Huifang, LIU Haijiao, JIA Junjie
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Sensors, 2019 This paper presents an efficient framework for estimating the direction-of-arrival (DOA) of wideband sound sources. The proposed framework provides an efficient way to construct a wideband cross-correlation matrix from multiple narrowband cross ...
Bandhit Suksiri, Masahiro Fukumoto
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Xibei Gongye Daxue Xuebao, 2020 The environmental parameters are usually uncertain in complex shallow ocean environment and restrict the performance of the matching model-like method. Therefore, we need a more tolerant detection method for detecting underwater targets in the uncertain ...
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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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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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Application of Subspace-Based Detection Algorithm to Infrasound Signals in Volcanic Areas
Frontiers in Earth Science, 2021 Infrasonic signals investigation plays a fundamental role for both volcano monitoring purpose and the study of the explosion dynamics. Proper and reliable detection of weak signals is a critical issue in active volcano monitoring.
Mariangela Sciotto, Placido Montalto
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CS Decomposition Based Bayesian Subspace Estimation [PDF]
, 2012 In numerous applications, it is required to estimate the principal subspace of the data, possibly from a very limited number of samples. Additionally, it often occurs that some rough knowledge about this subspace is available and could be used to improve
Besson, Olivier +2 more
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Carrier Frequency Offset Estimation in OFDM systems as a Quadratic Eigenvalue Problem [PDF]
Radioengineering, 2017 Carrier frequency offset (CFO) in orthogonal frequency division multiplexing (OFDM) systems is a major problem in achieving orthogonality between subcarriers. In this paper, we propose an estimator for CFO in OFDM systems using the subspace method.
A. Eslahi, A. Mahmoudi, H. Kaabi
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