Results 181 to 190 of about 10,117 (291)

Regularized reduced rank regression for mixed predictor and response variables

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract In this paper, we introduce the Generalized Mixed Regularized Reduced Rank Regression model (GMR4), an extension of the GMR3 model designed to improve performance in high‐dimensional settings. GMR3 is a regression method for a mix of numeric, binary and ordinal response variables, while also allowing for mixed‐type predictors through optimal ...
Lorenza Cotugno, Mark de Rooij, Roberta Siciliano   +2 more
wiley   +1 more source

Exploring novel semi-inner product reproducing Kernels in Banach space for robust Kernel methods. [PDF]

PLoS One
Ding Y, Zhao Y, Pei Y.
europepmc   +1 more source

RotGS: Rotation‐Guided 3D Gaussian Splatting for Turntable Sequences without Structure‐from‐Motion

Computer Graphics Forum, EarlyView.
Abstract The field of 3D reconstruction from multi‐view images has advanced rapidly thanks to 3D Gaussian Splatting (3DGS), which enables efficient and photorealistic scene representation. However, optimizing 3DGS requires high‐quality images from various viewpoints with accurate camera poses.
Kyumin Kim, Dohae Lee, Hanul Baek, In‐Kwon Lee   +3 more
wiley   +1 more source

Digital twin-based machine learning framework for predicting nonlinear seismic response of reinforced concrete shear walls using analytical data. [PDF]

Sci Rep
Kuria KK, Kegyes-Brassai O.
europepmc   +1 more source

Wave Tracing: Generalizing The Path Integral To Wave Optics

Computer Graphics Forum, EarlyView.
Abstract Modeling the wave nature of light and the propagation and diffraction of electromagnetic fields is crucial for the accurate simulation of many phenomena, yet wave simulations are significantly more computationally complex than classical ray‐based models.
Shlomi Steinberg, Matt Pharr
wiley   +1 more source

A Real‐Time Multi‐Scale Neural Representation for Complex Surface Reflectance

Computer Graphics Forum, EarlyView.
Abstract Recent machine learning methods have significantly advanced the state of the art in the classic problem of representing surface appearance over angle, space, and scale. The models tend, however, to be relatively heavy compared to traditional fixed‐function representations, making real‐time application challenging.
Heikki Timonen, Pauli Kemppinen, Jaakko Lehtinen   +2 more
wiley   +1 more source

Acoustic Signal Recognition of Partial Discharge Optical Fiber Sensors Using Time-Frequency Phase Composition. [PDF]

Sensors (Basel)
Jin X, Wang P, Guo P, Liu X, Wang Y.
europepmc   +1 more source

TABI: Tight and Balanced Interactive Atlas Packing

Computer Graphics Forum, EarlyView.
Abstract Atlas packing is a key step in many computer graphics applications. Packing algorithms seek to arrange a set of charts within a fixed‐size atlas with as little downscaling as possible. Many packing applications such as content creation tools, dynamic atlas generation for video games, and texture space shading require on‐the‐fly interactive ...
F. Gu, N. Vining, A. Sheffer
wiley   +1 more source

A conjecture of Warnaar-Zudilin from deformations of lie superalgebras. [PDF]

Res Math Sci
Creutzig T, Garner N.
europepmc   +1 more source

See4D: Pose‐Free 4D Generation via Auto‐Regressive Video Inpainting

Computer Graphics Forum, EarlyView.
Abstract Immersive applications call for synthesizing spatiotemporal 4D content from casual videos without costly 3D supervision. Existing video‐to‐4D methods typically rely on manually annotated camera poses, which are labor‐intensive and brittle for in‐the‐wild footage.
Dongyue Lu, Ao Liang, Tianxin Huang, Xiao Fu, Yuyang Zhao, Baorui Ma, Liang Pan, Wei Yin, Lingdong Kong, Wei Tsang Ooi, Ziwei Liu   +10 more
wiley   +1 more source