Results 211 to 220 of about 36,594 (305)
Computing Skinning Weights via Convex Duality
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
Regularity for the normalized p-Laplacian equation with an arbitrary degeneracy law
Alcantara, Claudemir, Santos, Makson
openalex +1 more source
Exponential stability for a plate equation with p‐Laplacian and memory terms
DÉBORA CRISTINA PEREIRA BERNARDINO DE ANDRADE +2 more
openalex +1 more source
Democratising Multi‐Projector Displays
Spatially augmented reality (SAR) transforms large, surround, collaborative experiences out of VR/AR headsets to the real world by merging content from projectors with the physical environment. This detailed state‐of‐the‐art survey reports on the advancements in multi‐projector aggregation and hardware technologies used to achieve SAR and build ...
Aditi Majumder, Muhammad Twaha Ibrahim
wiley +1 more source
Evaluating the robustness of slide-level AI predictions on out-of-focus whole slide images: A retrospective observational study. [PDF]
Kim HH, Ko YS, Jeong WC, Yun S, Kim K.
europepmc +1 more source
Positive Solutions for a System of Fourth-Order
Lianlong Sun, Zhilin Yang
openalex +1 more source
Cryptocurrency Bubbles and Costly Mining
ABSTRACT This paper develops a model of a cryptocurrency by incorporating mining into the otherwise standard search‐theoretic monetary framework. As usual, multiple equilibria exist. To obtain a sharp prediction on whether a cryptocurrency' s value will last in the future, I propose a notion of equilibrium refinement based on the feature that mining ...
Kohei Iwasaki
wiley +1 more source
TMBclaw: tumor clone-aware graph learning improves immunotherapy response prediction across heterogeneous cohorts. [PDF]
Wang Y +8 more
europepmc +1 more source
On Metric Choice in Dimension Reduction for Fréchet Regression
Summary Fréchet regression is becoming a mainstay in modern data analysis for analysing non‐traditional data types belonging to general metric spaces. This novel regression method is especially useful in the analysis of complex health data such as continuous monitoring and imaging data.
Abdul‐Nasah Soale +3 more
wiley +1 more source

