Results 91 to 100 of about 725,384 (331)
Entropy of Overcomplete Kernel Dictionaries
, 2014 In signal analysis and synthesis, linear approximation theory considers a linear decomposition of any given signal in a set of atoms, collected into a so-called dictionary.
Honeine, Paul
core
Mesoporous Carbon Thin Films with Large Mesopores as Model Material for Electrochemical Applications
Advanced Functional Materials, EarlyView.Mesoporous carbon thin films possessing 70 nm mesopores are prepared on titanium substrates by soft templating of resol resins with a self‐synthesized poly(ethylene oxide)‐block‐poly(hexyl acrylate) block copolymer. A strategy to avoid corrosion of the metal substrate is presented, and the films are extensively characterized in terms of morphology ...
Lysander Q. Wagner +9 more
wiley +1 more source
Sparsity-accuracy trade-off in MKL [PDF]
, 2009 We empirically investigate the best trade-off between sparse and uniformly-weighted multiple kernel learning (MKL) using the elastic-net regularization on real and simulated datasets.
Suzuki, Taiji, Tomioka, Ryota
core
Shape‐Morphing Nanoengineered Hydrogel Ribbons as Hemostats
Advanced Functional Materials, EarlyView.This study introduces a self‐assembling, shape‐morphing nanoengineered hydrogel ribbon system that rapidly forms porous aggregates in situ for efficient hemostasis in trauma and surgical applications. Abstract Rapid and effective hemorrhage control remains a major challenge in trauma and surgical care, particularly for complex or noncompressible wounds.
Ryan Davis Jr +9 more
wiley +1 more source
IET Computer Vision, 2017 The key problem of colour face recognition technique is how to take full advantage of the colour information and extract effective discriminating features.
Qian Liu, Chao Wang
doaj +1 more source
Facial Expression Recognition Based on Local Binary Patterns and Kernel Discriminant Isomap
Sensors, 2011 Facial expression recognition is an interesting and challenging subject. Considering the nonlinear manifold structure of facial images, a new kernel-based manifold learning method, called kernel discriminant isometric mapping (KDIsomap), is proposed ...
Xiaoming Zhao, Shiqing Zhang
doaj +1 more source
Nonparametric Density Estimation for Linear Processes with Infinite Variance [PDF]
We consider nonparametric estimation of marginal density functions of linear processes by using kernel density estimators. We assume that the innovation processes are i.i.d. and have infinite-variance.
Honda, Toshio
core
Advanced Functional Materials, EarlyView.This study introduces a novel chloro boron subphthalocyanine/polymer blend OFET sensor achieving 0.005 ppb limit of detection for ammonia at room temperature and high selectivity against similar amines. An original theoretical framework is proposed to describe the sensing mechanism, relating analyte molecular volume and Lewis basicity to sensor ...
Kavinraaj Ella Elangovan +6 more
wiley +1 more source
Kernel methods and their derivatives: Concept and perspectives for the earth system sciences.
PLoS ONE, 2020 Kernel methods are powerful machine learning techniques which use generic non-linear functions to solve complex tasks. They have a solid mathematical foundation and exhibit excellent performance in practice.
J Emmanuel Johnson +4 more
doaj +1 more source
A Pixel Dichotomy Coupled Linear Kernel-Driven Model for Estimating Fractional Vegetation Cover in Arid Areas From High-Spatial-Resolution Images [PDF]
, 2023 Xu Ma +7 more
openalex +1 more source