Results 21 to 30 of about 1,506,457 (286)
Pseudo Bidirectional Linear Discriminant Analysis for Multivariate Time Series Classification
IEEE Access, 2021 Multivariate time series (MTS) is a kind of matrix data, typically consisting of multiple variables measured at multiple time points. Due to the high dimensionality of MTS data, many methods for MTS classification have been proposed within the literature
Jianhua Zhao +5 more
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Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis [PDF]
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2019 When an agent acquires new information, ideally it would immediately be capable of using that information to understand its environment. This is not possible using conventional deep neural networks, which suffer from catastrophic forgetting when they are
Tyler L. Hayes, Christopher Kanan
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Sparse functional linear discriminant analysis [PDF]
Biometrika, 2020 Functional linear discriminant analysis provides a simple yet efficient method for classification, with the possibility of achieving perfect classification.
Juhyun Park, Jeongyoun Ahn, Yongho Jeon
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Investigation of Polar Mesospheric Summer Echoes Using Linear Discriminant Analysis
Remote Sensing, 2021 Polar Mesospheric Summer Echoes (PMSE) are distinct radar echoes from the Earth’s upper atmosphere between 80 to 90 km altitude that form in layers typically extending only a few km in altitude and often with a wavy structure.
Dorota Jozwicki +2 more
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Impedimetric Analysis of Trabecular Bone Based on Cole and Linear Discriminant Analysis
Frontiers in Physics, 2021 A spatially unambiguous characterization of electrical properties of osseous tissues is important for the therapy of osteopathy via electrical stimulation.
Wenzuo Wei +8 more
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Modified linear discriminant analysis [PDF]
Pattern Recognition, 2005 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Songcan Chen, Daohong Li
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Multi-View Linear Discriminant Analysis Network
IEEE Transactions on Image Processing, 2019 In many real-world applications, an object can be described from multiple views or styles, leading to the emerging multi-view analysis. To eliminate the complicated (usually highly nonlinear) view discrepancy for favorable cross-view recognition and ...
Peng Hu +3 more
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Face Recognition Using Simplified Probabilistic Linear Discriminant Analysis
International Journal of Advanced Robotic Systems, 2012 Face recognition in uncontrolled environments remains an open problem that has not been satisfactorily solved by existing recognition techniques.
Boštjan Vesnicer +3 more
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Italian National Conference on Sensors, 2019 Feature extraction of electroencephalography (EEG) signals plays a significant role in the wearable computing field. Due to the practical applications of EEG emotion calculation, researchers often use edge calculation to reduce data transmission times ...
Dongwei Chen +7 more
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Comparative Performance of Several Robust Linear Discriminant Analysis Methods
Revstat Statistical Journal, 2007 The problem of the non-robustness of the classical estimates in the setting of the quadratic and linear discriminant analysis has been addressed by many authors: Todorov et al. [19, 20], Chork and Rousseeuw [1], Hawkins and McLachlan [4], He and Fung [5]
Valentin Todorov , Ana M. Pires
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