Results 41 to 50 of about 1,572,835 (188)
Classifiers With a Reject Option for Early Time-Series Classification
, 2013 Early classification of time-series data in a dynamic environment is a challenging problem of great importance in signal processing. This paper proposes a classifier architecture with a reject option capable of online decision making without the need to ...
Chira, Camelia, Hatami, Nima
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Improving music genre classification using automatically induced harmony rules [PDF]
, 2010 We present a new genre classification framework using both low-level signal-based features and high-level harmony features. A state-of-the-art statistical genre classifier based on timbral features is extended using a first-order random forest containing
Anglade, A. +3 more
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Data selection in EEG signals classification [PDF]
Australasian Physical & Engineering Sciences in Medicine, 2016 The alcoholism can be detected by analyzing electroencephalogram (EEG) signals. However, analyzing multi-channel EEG signals is a challenging task, which often requires complicated calculations and long execution time. This paper proposes three data selection methods to extract representative data from the EEG signals of alcoholics. The methods are the
Wang, Shuaifang +3 more
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Weakly-supervised Dictionary Learning
, 2018 We present a probabilistic modeling and inference framework for discriminative analysis dictionary learning under a weak supervision setting. Dictionary learning approaches have been widely used for tasks such as low-level signal denoising and ...
Fern, Xiaoli Z. +3 more
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A Comparison of AVIRIS and Landsat for Land Use Classification at the Urban Fringe
, 2004 In this study we tested whether AVIRIS data allowed for improved land use classification over synthetic Landsat ETM+ data for a location on the urban-rural fringe of Colorado.
Goetz, Alexander F.H. +1 more
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Comparative study for broadband direction of arrival estimation techniques [PDF]
, 2012 This paper reviews and compares three different linear algebraic signal subspace techniques for broadband direction of arrival estimation --- (i) the coherent signal subspace approach, (ii) eigenanalysis of the parameterised spatial correlation matrix ...
Alrmah, Mohamed Abubaker +3 more
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Riemannian ElectroCardioGraphic Signal Classification
Estimating mental states such as cognitive workload from ElectroCardioGraphic (ECG) signals is a key but challenging step for many fields such as ergonomics, physiological computing, medical diagnostics or sport training. So far, the most commonly used machine learning algorithms to do so are linear classifiers such as Support Vector Machines (SVMs ...
Aurélien Appriou, Fabien Lotte
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IET Generation, Transmission & DistributionThis paper proposes a recurrent neural network based model to segment and classify multiple combined multiple power quality disturbances (PQDs) from the PQD voltage signal.
Poras Khetarpal +3 more
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Improved VMD‐KFCM algorithm for the fault diagnosis of rolling bearing vibration signals
IET Signal Processing, 2021 In order to make accurate judgements of rolling bearing main fault types using the small sample size fault data set, a novel approach is put forward that combines particle swarm optimisation kernel fuzzy C‐means (PSO‐KFCM) and variational mode ...
Yong Chang +4 more
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Solar-Terrestrial Physics, 2022 The paper describes the current version (v.1.1) of the algorithm for automatic classification of signals received by ISTP SB RAS decameter coherent scatter radars.
Berngardt O. I.
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