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 +2 more
wiley +1 more source
An efficient coverage path planning method for UAV in complex concave regions. [PDF]
Sci RepWu W, Wang Z, Lin L, Chang X, Tian L.
europepmc +1 more source
Computing Skinning Weights via Convex Duality
Computer Graphics Forum, EarlyView.We present an alternate optimization method to compute bounded biharmonic skinning weights. Our method relies on a dual formulation, which can be optimized with a nonnegative linear least squares setup. Abstract We study the problem of optimising for skinning weights through the lens of convex duality.
J. Solomon, O. Stein
wiley +1 more source
The Curious <i>U</i>: Integrating Theories Linking Knowledge and Information-Seeking Behavior. [PDF]
Open Mind (Camb)Ten A, Oudeyer PY, Sakaki M, Murayama K.
europepmc +1 more source
FluidMap: Proportional and Spatially Consistent Layout Enrichments in Multidimensional Projections
Computer Graphics Forum, EarlyView.FluidMap faithfully represents the frequency of an attribute and preserves spatial consistency. Current space‐filling methods over‐ or under‐represent attribute categories (i.e., all Voronoi‐based methods), sacrifice spatial consistency (i.e., Nmap) or both (i.e., Voronoi‐MWα).
Daniela Blumberg +5 more
wiley +1 more source
A Multi-Feature Fusion-Based Two-Stage Method for Airport Crater Extraction from Remote Sensing Images. [PDF]
Entropy (Basel)Zhao Y, Chen D, Gong J.
europepmc +1 more source
Basis Networks: Learning basis functions for free‐form triangulations
Computer Graphics Forum, EarlyView.Abstract We present a framework for learning compactly supported basis functions that define tangent continuous surfaces based on coarse irregular triangle meshes. The basis functions are represented as MLPs. Smoothness of the basis functions is achieved by using the values of Loop basis functions as the parameterization of the surface.
T. Djuren, M. Alexa
wiley +1 more source
Beyond metaphor: quantitative reconstruction of Waddington landscape and exploration of cellular behavior. [PDF]
Brief BioinformHan Y, Chen B, Zhang J, Shang X.
europepmc +1 more source
Volume Quantization with Flexible Singularities for Hexahedral Meshing
Computer Graphics Forum, EarlyView.Abstract We present a novel algorithm for quantization and subsequent hexahedral mesh generation from seamless volumetric maps. Quantization is the process of choosing integers that represent the numbers of hexahedral elements to be placed in each region of the volume, and transforming the seamless map into an integer‐grid map matching that choice ...
H. Brückler, M. Campen
wiley +1 more source
QCNN-Swin-UNet: Quantum Convolutional Neural Network Integrated with Optimized Swin-UNet for Efficient Liver Tumor Segmentation and Classification on Edge Devices. [PDF]
J Imaging Inform MedIdress WM, Zhao Y, Abouda KA, Elhag HM.
europepmc +1 more source