Results 81 to 90 of about 36,894 (295)
Learning a Robust Local Manifold Representation for Hyperspectral Dimensionality Reduction
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2017 Local manifold learning has been successfully applied to hyperspectral dimensionality reduction in order to embed nonlinear and nonconvex manifolds in the data.
Danfeng Hong +2 more
doaj +1 more source
Unsupervised Nonlinear Manifold Learning [PDF]
2007 IEEE International Conference on Image Processing, 2007 This communication deals with data reduction and regression. A set of high dimensional data (e.g., images) usually has only a few degrees of freedom with corresponding variables that are used to parameterize the original data set. Data understanding, visualization and classification are the usual goals.
Matthieu Brucher +3 more
openaire +1 more source
Solution‐Processed Thin‐Film Transistors With Tunable Temporal Dynamics for Neuromorphic Computing
Advanced Functional Materials, EarlyView.Solution‐processed CNT and CNT/P3HT ion‐gated transistors exhibit materials‐defined synaptic timescales: fast CNT devices for high‐frequency spiking and slow hybrid devices for temporal integration. Embedding these dynamics into coupled reservoir‐computing and spiking neural network simulations reveals that a Hybrid‐Reservoir / CNT‐SNN architecture ...
Kevin Schnittker +5 more
wiley +1 more source
Türk Kardiyoloji Derneği Arşivi, 2019 Objective: Carotid ultrasonography is a reliable and non-invasive method to evaluate atherosclerosis disease and its complications. B-mode cineloops are widely used to assess the severity of atherosclerosis and its progression; ho- wever, tracking rapid ...
Fereshteh Yousefi Rizi +2 more
doaj +1 more source
Advanced Functional Materials, EarlyView.Thermally oxidized MoS2‐based radio‐frequency switches enable a multifunctional platform that unifies broadband RF switching and in‐memory computation. The device achieves a cutoff frequency of 33.2 THz with high energy efficiency and supports hardware‐aware signal processing.
Juho Son +5 more
wiley +1 more source
Learning on dynamic statistical manifolds
Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 2020 Hyperbolic balance laws with uncertain (random) parameters and inputs are ubiquitous in science and engineering. Quantification of uncertainty in predictions derived from such laws, and reduction of predictive uncertainty via data assimilation, remain an open challenge.
F. Boso, D. M. Tartakovsky
openaire +5 more sources
Advanced Healthcare Materials, EarlyView.We describe a microfluidic tumor‐stroma co‐culture model, engineered to resist collagen‐hydrogel contraction driven by fibroblast activity. Surface silanization with APTES covalently anchors the matrix to the chip, while Genipin crosslinking progressively increases stiffness and elasticity without harming cells. This supports >10 days of co‐culture and
Doriane Le Manach +4 more
wiley +1 more source
Manifold mapping learning by regression tree boosting
, 2015 Manifold learning has shown powerful information processing capability for high-dimensional data. In this paper, we proposed a manifold mapping learning algorithm to alleviate the shortage of traditional methods and broaden the applications of manifold ...
Han Z(韩志) +2 more
core
Modeling and Forecasting by Manifold Learning
, 2010 Forecasting can benefit from recently emerged manifold learning algorithms. We describe the connection between manifold learning and forecasting. Moreover, we study the properties of different manifold learning methods and their reconstruction.
Ni, Xuelei (Sherry), Xuelei (Sherry) Ni
core +1 more source
Manifold Learning in Wasserstein Space
SIAM Journal on Mathematical AnalysisThis paper aims at building the theoretical foundations for manifold learning algorithms in the space of absolutely continuous probability measures $\mathcal{P}_{\mathrm{a.c.}}(Ω)$ with $Ω$ a compact and convex subset of $\mathbb{R}^d$, metrized with the Wasserstein-2 distance $\mathbb{W}$. We begin by introducing a construction of submanifolds $Λ$ in $
Keaton Hamm +3 more
openaire +5 more sources