Anomalous pattern based clustering of mental tasks with subject independent learning – some preliminary results [PDF]
, 2012 In this paper we describe a new method for EEG signal classification in which the classification of one subject’s EEG signals is based on features learnt from another subject.
Amorim, Renato +2 more
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Beat histogram features for rhythm-based musical genre classification using multiple novelty functions [PDF]
, 2015 In this paper we present beat histogram features for multiple level rhythm description and evaluate them in a musical genre classification task. Audio features pertaining to various musical content categories and their related novelty functions are ...
Lerch, Alexander, Lykartsis, Athanasios
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Robust Multiple Signal Classification via Probability Measure Transformation
, 2015 In this paper, we introduce a new framework for robust multiple signal classification (MUSIC). The proposed framework, called robust measure-transformed (MT) MUSIC, is based on applying a transform to the probability distribution of the received signals,
Hero, Alfred O., Todros, Koby
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Radar waveform recognition based on a two‐stream convolutional network and software defined radio
IET Radar, Sonar & Navigation, 2022 As one of the key technologies of electromagnetic spectrum operations, radar waveform recognition is an important basis for judging the threat degree of enemy’s weapons.
Yan Xia, Zhiyuan Ma, Zhi Huang
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A deep learning mixed-data type approach for the classification of FHR signals
Frontiers in Bioengineering and Biotechnology, 2022 The Cardiotocography (CTG) is a widely diffused monitoring practice, used in Ob-Gyn Clinic to assess the fetal well-being through the analysis of the Fetal Heart Rate (FHR) and the Uterine contraction signals.
Edoardo Spairani +3 more
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Large margin filtering for signal sequence labeling
, 2010 Signal Sequence Labeling consists in predicting a sequence of labels given an observed sequence of samples. A naive way is to filter the signal in order to reduce the noise and to apply a classification algorithm on the filtered samples.
Flamary, Rémi +2 more
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Signal processing methods for EEG data classification [PDF]
, 2008 Imperial Users ...
Varnavas, Andreas Soteriou +1 more
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Advances in Hyperspectral Image Classification: Earth monitoring with statistical learning methods [PDF]
, 2013 Hyperspectral images show similar statistical properties to natural grayscale or color photographic images. However, the classification of hyperspectral images is more challenging because of the very high dimensionality of the pixels and the small number
Benediktsson, Jón Atli +3 more
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Real-time classification of EEG signals using Machine Learning deployment [PDF]
Revista Română de Informatică și AutomaticăThe prevailing educational methods predominantly rely on traditional classroom instruction or online delivery, often limiting the teachers’ ability to engage effectively with all the students simultaneously.
Swati CHOWDHURI +3 more
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Sensors, 2020 Radio frequency fingerprinting (RFF) is one of the communication network’s security techniques based on the identification of the unique features of RF transient signals.
Alghannai Aghnaiya +2 more
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