Results 61 to 70 of about 144 (108)

Human action recognition based on tensor shape descriptor

IET Computer Vision, 2016
Human action recognition is an important task. This study presents an efficient framework for recognising action with a 3D skeleton kinematic joint model in less computational time for practical usage.
Jianjun Li, Xia Mao, Xingyu Wu, Xiaogeng Liang   +3 more
doaj   +1 more source

Robust Decoding of Upper-Limb Movement Direction Under Cognitive Distraction With Invariant Patterns in Embedding Manifold

IEEE Transactions on Neural Systems and Rehabilitation Engineering
Motor brain-computer interfaces (BCIs) have gained growing research interest in motor rehabilitation, restoration, and prostheses control. Decoding upper-limb movement direction with noninvasive BCIs has been extensively investigated.
Bolin Peng, Luzheng Bi, Zhi Wang, Aberham Genetu Feleke, Weijie Fei   +4 more
doaj   +1 more source

Adaptive dual-graph learning joint feature selection for EEG emotion recognition

Journal of King Saud University: Computer and Information Sciences
Emotion recognition based on electroencephalography (EEG) has garnered increasing attention for its ability to reflect human emotional states objectively and in real time.
Liangliang Hu, Congming Tan, Yin Tian
doaj   +1 more source

A Multifactor Extension of Linear Discriminant Analysis for Face Recognition under Varying Pose and Illumination

EURASIP Journal on Advances in Signal Processing, 2010
Linear Discriminant Analysis (LDA) and Multilinear Principal Component Analysis (MPCA) are leading subspace methods for achieving dimension reduction based on supervised learning. Both LDA and MPCA use class labels of data samples to calculate subspaces
Park SungWon, Savvides Marios
doaj  

AN ILLUMINATION INVARIANT FACE RECOGNITION BY ENHANCED CONTRAST LIMITED ADAPTIVE HISTOGRAM EQUALIZATION

ICTACT Journal on Image and Video Processing, 2016
Face recognition system is gaining more importance in social networks and surveillance. The face recognition task is complex due to the variations in illumination, expression, occlusion, aging and pose.
A. Thamizharasi, J.S. Jayasudha
doaj  

Invariant subspace method for fractional Black-Scholes equations [PDF]

ScienceAsia, 2018
openaire   +1 more source

Covariate-invariant gait recognition using random subspace method and its extensions [PDF]

Compared with other biometric traits like fingerprint or iris, the most significant advantage of gait is that it can be used for remote human identification without cooperation from the subjects. The technology of gait recognition may play an important role in crime prevention, law enforcement, etc. Yet the performance of automatic gait recognition may
openaire   +1 more source

The iterative methods for computing invariant subspaces and their applications

, 1987
openaire   +1 more source

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Invariant subspace method and exact solutions of the coupled system of time-fractional convection–reaction–diffusion equations

Computational and Applied Mathematics, 2023
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
P Prakash
exaly   +2 more sources

Invariant Subspace Method and Exact Solutions of Certain Nonlinear Time Fractional Partial Differential Equations

Fractional Calculus and Applied Analysis, 2015
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
T Bakkyaraj
exaly   +3 more sources