Results 11 to 20 of about 8,432 (220)
Single projection driven real-time multi-contrast (SPIDERM) MR imaging using pre-learned spatial subspace and linear transformation [PDF]
, 2022 OBJECTIVE. To develop and test the feasibility of a novel Single ProjectIon DrivEn Real-time Multi-contrast (SPIDERM) MR imaging technique that can generate real-time 3D images on-the-fly with flexible contrast weightings and a low latency. APPROACH.
Han, Fei +10 more
core +1 more source
AN ADAPTIVE COMPOSITE QUANTILE APPROACH TO DIMENSION REDUCTION [PDF]
, 2014 Sufficient dimension reduction [Li 1991] has long been a prominent issue in multivariate nonparametric regression analysis. To uncover the central dimension reduction space, we propose in this paper an adaptive composite quantile approach.
Kong, Efang
core +1 more source
MOMENT KERNELS FOR T-CENTRAL SUBSPACE
, 2020 The T-central subspace allows one to perform sufficient dimension reduction for any statistical functional of interest. We propose a general estimator using a third moment kernel to estimate the T-central subspace.
Ren, Weihang
core +1 more source
Asymptotic statistics of repeated indirect quantum measurements [PDF]
, 2022 openThis research project analyzes the asymptotic behaviour of a quantum system subject to a sequence of indirect measurements. These quantum measurements give rise to a stochastic process, called quantum trajectory, which describes the state of the ...
GREGGIO, LINDA
core
Orthogonal Hessenberg reduction and orthogonal Krylov subspace bases [PDF]
, 2017 We study necessary and sufficient conditions that a nonsingular matrix A can be B-orthogonally reduced to upper Hessenberg form with small bandwidth. By this we mean the existence of a decomposition AV=VH, where H is upper Hessenberg with few nonzero ...
Saylor, Paul E., Liesen, Jörg
core +1 more source
Optimal transformation: A new approach for covering the central subspace
, 2013 voir prépublication : hal-00598422International audienceThis paper studies a general family of methods for sufficient dimension reduction (SDR) called the test function (TF), based on the introduction of a nonlinear transformation of the response.
Delyon, Bernard, Portier, François
core +1 more source
A CLT for an improved subspace estimator with observations of increasing dimensions [PDF]
, 2015 This paper deals with subspace estimation in the small sample size regime, where the number of samples is comparable in magnitude with the observation dimension.
Vallet, Pascal +2 more
core +1 more source
Exciton Radiative Lifetimes in Hexagonal Diamond Ge and SixGe1–x Alloys
Advanced Optical Materials, EarlyView.Strong room‐temperature photoluminescence reported in hexagonal Ge conflicts with theory predicting a nearly dark band edge. First‐principles calculations of excitonic radiative lifetimes fill a key gap in this debate, showing that pristine hexagonal Ge remains intrinsically weakly emissive, while Si alloying only modestly shortens the lifetime and ...
Michele Re Fiorentin +2 more
wiley +1 more source
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
Solid Harmonic Wavelet Bispectrum for Image Analysis
Advanced Science, EarlyView.The Solid Harmonic Wavelet Bispectrum (SHWB), a rotation‐ and translation‐invariant descriptor that captures higher‐order (phase) correlations in signals, is introduced. Combining wavelet scattering, bispectral analysis, and group theory, SHWB achieves interpretable, data‐efficient representations and demonstrates competitive performance across texture,
Alex Brown +3 more
wiley +1 more source