Suchergebnisse - CCS Concepts: • Computing methodologies → Machine learning algorithms

A Machine Learning Algorithm for Quantitatively Diagnosing Oxidative Stress Risks in Healthy Adult Individuals Based on Health Space Methodology: A Proof-of-Concept Study Using Korean Cross-Sectional Cohort Data von Kim, Youjin, Kim, Yunsoo, Hwang, Jiyoung, van den Broek, Tim J., Oh, Bumjo, Kim, Ji Yeon, Wopereis, Suzan, Bouwman, Jildau, Kwon, Oran

“… ” statistical methodology. We then developed a machine learning algorithm for discrimination of oxidative stress status using least absolute shrinkage and selection operator (LASSO …”
Volltext

Latent Space Physics: Towards Learning the Temporal Evolution of Fluid Flow von Wiewel, S., Becher, M., Thuerey, N.

“… We propose a method for the data‐driven inference of temporal evolutions of physical functions with deep learning …”
Volltext

Llanimation: Llama Driven Gesture Animation von Windle, J, Matthews, I, Taylor, S

“… Co‐speech gesturing is an important modality in conversation, providing context and social cues. In character animation, appropriate and synchronised gestures …”
Volltext

Towards a Better Evaluation of 3D CVML Algorithms: Immersive Debugging of a Localization Model von Lin, T., Yuan, J., Miao, K., Katolikyan, T., Walker, I., Cavallo, M.

“… As advancements in robotics, autonomous driving, and spatial computing continue to unfold, a growing number of Computer Vision and Machine Learning (CVML …”
Volltext

Learning Metric Fields for Fast Low‐Distortion Mesh Parameterizations von Fargion, G., Weber, O.

“… We present a fast and robust method for computing an injective parameterization with low isometric distortion for disk …”
Volltext

Neurosymbolic Models for Computer Graphics von Ritchie, Daniel, Guerrero, Paul, Jones, R. Kenny, Mitra, Niloy J., Schulz, Adriana, Willis, Karl D. D., Wu, Jiajun

“… (via examples, constraints, or objectives), while a search, optimization, or learning algorithm takes care of the details …”
Volltext

FlatCAD: Fast Curvature Regularization of Neural SDFs for CAD Models von Yin, Haotian, Plocharski, Aleksander, Wlodarczyk, Michal Jan, Kida, Mikolaj, Musialski, Przemyslaw

“… Neural signed‐distance fields (SDFs) are a versatile backbone for neural geometry representation, but enforcing CAD‐style developability usually requires …”
Volltext

A Hybrid Parametrization Method for B‐Spline Curve Interpolation via Supervised Learning von Song, Tianyu, Shen, Tong, Ge, Linlin, Feng, Jieqing

“… B‐spline curve interpolation is a fundamental algorithm in computer‐aided geometric design …”
Volltext

In‐the‐wild Material Appearance Editing using Perceptual Attributes von Subias, J. Daniel, Lagunas, M.

“… Intuitively editing the appearance of materials from a single image is a challenging task given the complexity of the interactions between light and matter, …”
Volltext

Visual Analytics on Network Forgetting for Task‐Incremental Learning von Li, Ziwei, Xu, Jiayi, Chao, Wei‐Lun, Shen, Han‐Wei

“… Task‐incremental learning (Task‐IL) aims to enable an intelligent agent to continuously accumulate knowledge from new learning tasks without catastrophically forgetting what it has learned in the past …”
Volltext

A Survey of Non‐Rigid 3D Registration von Deng, Bailin, Yao, Yuxin, Dyke, Roberto M., Zhang, Juyong

“… In particular, we review different approaches for representing the deformation field, and the methods for computing the desired deformation. Both optimization‐based and learning …”
Volltext

Human–machine interaction in building an English reference dataset for natural language processing tasks von Žitko, Branko, Gašpar, Angelina, Bročić, Lucija, Vasić, Daniel, Grubišić, Ani

“… Rich in information and annotated instances, a reference annotated dataset is essential for the training and evaluation of Natural Language Processing (NLP) …”
Volltext

Scalable Surface Reconstruction with Delaunay‐Graph Neural Networks von Sulzer, R., Landrieu, L., Marlet, R., Vallet, B.

“… We introduce a novel learning‐based, visibility‐aware, surface reconstruction method for large‐scale, defect‐laden point clouds …”
Volltext

HidingGAN: High Capacity Information Hiding with Generative Adversarial Network von Wang, Zihan, Gao, Neng, Wang, Xin, Xiang, Ji, Zha, Daren, Li, Linghui

“… Benefitting from the rapid development of deep neural networks, many steganographic algorithms based on deep learning have been proposed …”
Volltext

Linear Time Stable PD Controllers for Physics‐based Character Animation von Yin, Zhiqi, Yin, KangKang

“… ) dense matrix factorization based method. In this paper, we propose a linear time algorithm for SPD computation, which is based on Featherstone's forward dynamics formulation for articulated rigid body systems in generalized coordinates [Fea14 …”
Volltext

A TransISP Based Image Enhancement Method for Visual Disbalance in Low‐light Images von Wu, Jiaqi, Guo, Jing, Jing, Rui, Zhang, Shihao, Tian, Zijian, Chen, Wei, Wang, Zehua

“… Existing image enhancement algorithms often fail to effectively address issues of visual disbalance, such as brightness unevenness and color distortion, in low‐light images …”
Volltext

Learning Image Fractals Using Chaotic Differentiable Point Splatting von Djeacoumar, A., Mujkanovic, F., Seidel, H.‐P., Leimkühler, T.

“… We introduce a novel algorithm that optimizes Iterated Function System parameters using a custom fractal generator combined with differentiable point splatting …”
Volltext

Semi‐Supervised 3D Shape Recognition via Multimodal Deep Co‐training von Song, Mofei, Liu, Yu, Liu, Xiao Fan

“… With the rapid development of deep learning, various deep models have been introduced and achieved remarkable results …”
Volltext

QUESTO: Interactive Construction of Objective Functions for Classification Tasks von Das, Subhajit, Xu, Shenyu, Gleicher, Michael, Chang, Remco, Endert, Alex

“… s. Machine learning algorithms allow for flexible specification of such meta‐information through the design of the objective functions that they solve …”
Volltext

PointProNets: Consolidation of Point Clouds with Convolutional Neural Networks von Roveri, Riccardo, Öztireli, A. Cengiz, Pandele, Ioana, Gross, Markus

“… There are numerous algorithms that rely on a variety of assumptions such as local smoothness to tackle this ill‐posed problem …”
Volltext