Results 101 to 110 of about 534,560 (282)
Adaptive Covariance Estimation Method for LiDAR-Aided Multi-Sensor Integrated Navigation Systems
Micromachines, 2015 The accurate estimation of measurements covariance is a fundamental problem in sensors fusion algorithms and is crucial for the proper operation of filtering algorithms.
Shifei Liu +3 more
doaj +1 more source
A proximal distance algorithm for likelihood-based sparse covariance estimation. [PDF]
Biometrika, 2022 Xu J, Lange K.
europepmc +1 more source
Direct Laser Writing of Magnetic Micro Actuators With a Stimulus‐Responsive Compliant Hinge
Advanced Materials Technologies, EarlyView.This study presents a versatile modular design strategy for adaptive 3D microactuators. Using two‐photon‐induced C,H insertion reactions within solid polymer layers, chemically distinct hinge and stimulus responsive materials are patterned in one step. The hinge's properties enable tunable motion, mechanical control, and reconfigurable actuation across
Eleonora Galli +4 more
wiley +1 more source
L0 Sparse Inverse Covariance Estimation
, 2015 Recently, there has been focus on penalized log-likelihood covariance estimation for sparse inverse covariance (precision) matrices. The penalty is responsible for inducing sparsity, and a very common choice is the convex $l_1$ norm.
Hero III, Alfred O., Marjanovic, Goran
core
Continual Learning for Multimodal Data Fusion of a Soft Gripper
Advanced Robotics Research, EarlyView.Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
wiley +1 more source
Mean and Covariance Estimation for Functional Snippets. [PDF]
J Am Stat Assoc, 2022 Lin Z, Wang JL.
europepmc +1 more source
Advanced Science, EarlyView.Using machine learning on a mega‐scale global dataset (n = 1,336,840) reveals a robust personality trait architecture beyond the Big Five. A Big Two model, broadly capturing social engagement and internal mentation, defines a geometric space that links personality to neurocognitive profiles.
Kaixiang Zhuang +7 more
wiley +1 more source
Multivariate mixed normal conditional heteroskedasticity [PDF]
We propose a new multivariate volatility model where the conditional distribution of a vector time series is given by a mixture of multivariate normal distributions. Each of these distributions is allowed to have a time-varying covariance matrix.
C.M., HAFNER +2 more
core
Consensus Formation and Change are Enhanced by Neutrality
Advanced Science, EarlyView.Neutral agents are shown to enhance both the formation and overturning of consensus in collective decision‐making. A general mathematical model and experiments with locusts and humans reveal that neutrality enables robust consensus via simple interactions and accelerates consensus change by reducing effective population size.
Andrei Sontag +3 more
wiley +1 more source
Spectral guided sparse inverse covariance estimation of metabolic networks in Parkinson's disease. [PDF]
Neuroimage, 2021 Spetsieris PG, Eidelberg D.
europepmc +1 more source