Results 161 to 170 of about 6,413,007 (222)
Stage-Complete Mapping of Pairwise Monocular Structure-from-Motion to Field-Programmable Gate Arrays. [PDF]
Stamatakis P, Vourvoulakis J.
europepmc +1 more source
Large Covariance Matrix Estimation by Penalized Log‐Det Heuristics
ABSTRACT We study covariance estimation in high‐dimensional approximate factor models with a sparse residual covariance. The estimator combines a log‐det loss with nuclear‐norm and off‐diagonal ℓ1$$ {\mathrm{\ell}}_1 $$ penalties on a sample‐normalized covariance scale.
Enrico Bernardi, Matteo Farnè
wiley +1 more source
FastPCA: An R package for fast singular value decomposition. [PDF]
Ward KR +5 more
europepmc +1 more source
Abstract Ionospheric currents and their associated magnetic perturbations are difficult to predict due to the high variability of their driving mechanisms. In addition, the 3D structure of the currents is challenging to unravel due to the lack of direct observations within the current flow region, particularly in the E $E$‐layer.
P. Alken +6 more
wiley +1 more source
Rapid Estimation of Global Sea Surface Temperatures From Sparse Streaming In Situ Observations
Abstract Reconstructing high‐resolution sea surface temperatures (SST) from staggered SST measurements is essential for analyzing earth system processes. However, when SST measurements are sparse, the resulting inferred SST fields are rather inaccurate.
Cassidy All +5 more
wiley +1 more source
IdeaDistiller-AI Support for Idea Synthesis in Concept Mapping: Algorithm Development and Validation Study. [PDF]
Qwaider C +5 more
europepmc +1 more source
ABSTRACT Preparing quantum states with desired amplitude distributions is a key bottleneck in the implementation of quantum linear and nonlinear dynamics solvers, including Linear Combination of Hamiltonian Simulation (LCHS) and Schrödingerization. We present a direct, closed‐form construction of Quantized Tensor Train (QTT) representations for two ...
Katsuhiro Endo, Kazuaki Z. Takahashi
wiley +1 more source
LEARNER: A Transfer Learning Method for Low-Rank Matrix Estimation. [PDF]
McGrath S +4 more
europepmc +1 more source
Surrogate Scattering Matrix‐Guided Inverse Design of Nanophotonic Neural Networks
Surrogate‐guided inverse design separates task learning from electromagnetic realization by transferring a trained passive operator to a fabrication‐aware nanophotonic structure. The electromagnetic cost of each update depends on port count rather than the dataset size.
Azka Maula Iskandar Muda, Uğur Teğin
wiley +1 more source
Signal extraction in SWAXS data for the compact X-ray light sources: a machine learning approach. [PDF]
Opperman AK +8 more
europepmc +1 more source

