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CG-FAS: Cross-label Generative Augmentation for Face Anti-Spoofing
Face Anti-Spoofing (FAS) is essential to secure face recognition systems from various physical attacks. A sufficient and diverse training set helps...
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CG-PBFT: an efficient PBFT algorithm based on credit grou**
Because of its excellent properties of fault tolerance, efficiency and availability, the practical Byzantine fault tolerance (PBFT) algorithm has...
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Estimating error norms in CG-like algorithms for least-squares and least-norm problems
In Meurant et al. (Numer. Algorithms 88 (3), 1337–1359,
2021 ), we presented an adaptive estimate for the energy norm of the error in the conjugate...
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CG-FHAUI: an efficient algorithm for simultaneously mining succinct pattern sets of frequent high average utility itemsets
The identification of both closed frequent high average utility itemsets (CFHAUIs) and generators of frequent high average utility itemsets (GFHAUIs)...
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Block GPBi-CG method for solving nonsymmetric linear systems with multiple right-hand sides and its convergence analysis
In this paper, the block generalized product-type bi-conjugate gradient (GPBi-CG) method for solving large, sparse nonsymmetric linear systems of...
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Accurate error estimation in CG
In practical computations, the (preconditioned) conjugate gradient (P)CG method is the iterative method of choice for solving systems of linear...
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AR-Based Visitor Support System for Enhancing the Liveliness of Sightseeing Spots Using CG Humanoid Models
When visiting an unfamiliar sightseeing spot, the absence of other individuals can make a visitor feel lonely and hesitant about visiting. In this...
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PCR-CG: Point Cloud Registration via Deep Explicit Color and Geometry
In this paper, we introduce PCR-CG: a novel 3D point cloud registration module explicitly embedding the color signals into geometry representation....
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Machine Learning Algorithms on COVID-19 Prediction Using CpG Island and AT-CG Feature on Human Genomic Data
A pandemic has broken out throughout the world since December 2019 and later it has been named COVID-19. The flow of normal life has collapsed due to...
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CG-ERNet: a lightweight Curvature Gabor filtering based ear recognition network for data scarce scenario
Recently biometric systems have shown improved capabilities because of the remarkable success of deep learning in solving various computer vision...
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Application of CG Pseudo-spectral Method to Optimal Posture Adjustment of Robot Manipulator
To consider the energy saving during the robot motion, optimal posture control method for a robot manipulator is proposed. The Chebyshev-Gauss (CG)...
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On the generalized AOR and CG iteration methods for a class of block two-by-two linear systems
In this work, we utilize the generalized AOR (GAOR) and CG (GCG) methods for constructing iteration methods to solve the block two-by-two linear...
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P\(^2\)CG: a privacy preserving collaborative graph neural network training framework
Graph neural networks (GNNs) and their variants have generalized deep learning methods into non-Euclidean graph data, bringing substantial...
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Comparison of Positive Feelings for CG Robots Between 2D Display and 3D HMD Using Heart Rate
We have been conducting research focusing on positive feelings for a long time. The objective of this study is to compare the positive feelings...
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Parareal Method for Anisotropic Diffusion Denoising
This paper studies time-domain parallelisation using Parareal to speed up the computations of anisotropic diffusion filtering. We consider both...
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Analysis of Effects of Raggedy Student CG Characters in Face-to-Face Lectures and Their On-Demand Streaming
With the changing circumstances of the COVID-19 disaster, many conventional face-to-face lectures are being conducted, but on-demand streaming of...
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A Mobile Application Can Be Used as an Alternative to the Traditional Preparation Method for Parents in Pediatric Day Surgery: A Randomized Controlled Trial
Background: Digital preparation programs for day surgery are now available through smartphones; however, research on the effectiveness of digital...
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Random Mask Perturbation Based Explainable Method of Graph Neural Networks
Graph Neural Networks (GNNs) have garnered considerable attention due to their potential applications across multiple domains. However, enhancing...