Results 61 to 70 of about 1,406,601 (220)

Unitary canonical forms over Clifford algebras, and an observed unification of some real-matrix decompositions [PDF]

, 2022
Ran Gutin
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Enhancing Unmanned Aerial Vehicle Object Detection via Tensor Decompositions and Positive–Negative Momentum Optimizers

Mathematics
The current development of machine learning has advanced many fields in applied sciences and industry, including remote sensing. In this area, deep neural networks are used to solve routine object detection problems, satisfying the required rules and ...
Ruslan Abdulkadirov, Pavel Lyakhov, Denis Butusov, Nikolay Nagornov, Dmitry Reznikov, Anatoly Bobrov, Diana Kalita   +6 more
doaj   +1 more source

Decoding Emotions from fNIRS: A Survey on Tensor-Based Approaches in Affective Computing and Medical Applications

Applied Sciences
Understanding and interpreting human emotions through neurophysiological signals has become a central goal in affective computing. This paper presents a focused survey of recent advances in emotion recognition using tensor factorization techniques ...
Aleksandra Kawala-Sterniuk, Michal Podpora, Dariusz Mikolajewski, Maciej Piasecki, Ewa Rudnicka, Adrian Luckiewicz, Adam Sudol, Mariusz Pelc   +7 more
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Concurrent Alternating Least Squares for multiple simultaneous Canonical Polyadic Decompositions [PDF]

, 2020
Christos Psarras, Lars Karlsson, Bro, Rasmus, Bientinesi, Paolo   +3 more
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Accelerating jackknife resampling for the Canonical Polyadic Decomposition [PDF]

, 2021
Christos Psarras, Lars Karlsson, Rasmus Bro, Paolo Bientinesi   +3 more
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Classifying Routine Clinical Electroencephalograms With Multivariate Iterative Filtering and Convolutional Neural Networks

IEEE Transactions on Neural Systems and Rehabilitation Engineering
Electroencephalogram (EEG) is widely used in basic and clinical neuroscience to explore neural states in various populations, and classifying these EEG recordings is a fundamental challenge.
Vardhan Paliwal, Kritiprasanna Das, Sam M. Doesburg, George Medvedev, Pengcheng Xi, Urs Ribary, Ram Bilas Pachori, Vasily A. Vakorin   +7 more
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Geometric quantum machine learning with horizontal quantum gates

Physical Review Research
In the current framework of geometric quantum machine learning, the canonical method for constructing a variational ansatz that respects the symmetry of some group action is by forcing the circuit to be equivariant, i.e., to commute with the action of ...
Roeland Wiersema, Alexander F. Kemper, Bojko N. Bakalov, Nathan Killoran   +3 more
doaj   +1 more source

Canonical information flow decomposition among neural structure subsets

Frontiers in Neuroinformatics, 2014
تم مؤخرًا تعميم التماسك الجزئي الموجه والتماسك الموجه اللذين يصفان الجوانب التكميلية لتدفق المعلومات الموجه بين أزواج من المكونات أحادية المتغير التي تنتمي إلى متجه من السلاسل الزمنية المرصودة في وقت واحد على أنها bPDC/bDC على التوالي لتصوير العلاقة بين المجموعات الفرعية من ناقلات المكونات (تاكاهاشي، 2009 ؛ فاس ونولو، 2013).
Daniel Y. Takahashi, Luiz A. Baccalá, Koichi Sameshima   +2 more
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Compactness of the Complex Green Operator on C¹ Pseudoconvex Boundaries in Stein Manifolds

Mathematics
We study compactness for the complex Green operator Gq associated with the Kohn Laplacian □b on boundaries of pseudoconvex domains in Stein manifolds. Let Ω⋐X be a bounded pseudoconvex domain in a Stein manifold X of complex dimension n with C1 boundary.
Abdullah Alahmari, Emad Solouma, Marin Marin, A. F. Aljohani, Sayed Saber   +4 more
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Canonical Decompositions of Abelian Groups

, 2020
Every torsion--free abelian group of finite rank has two essentially unique complete direct decompositions whose summands come from specific classes of groups.
openaire   +2 more sources