Truncated robust principle component analysis with a general optimization framework
Recently, several robust principle component analysis (RPCA) models have been proposed
to improve the robustness of principle component analysis (PCA). But an important problem …
to improve the robustness of principle component analysis (PCA). But an important problem …
Unsupervised pre-trained filter learning approach for efficient convolution neural network
Abstract The concept of Convolution Neural Network (ConvNet or CNN) is evaluated from
the animal visual cortex. Since humans can learn through experience, similarly, ConvNet …
the animal visual cortex. Since humans can learn through experience, similarly, ConvNet …
Haze removal using the difference-structure-preservation prior
L He, J Zhao, N Zheng, D Bi - IEEE transactions on image …, 2016 - ieeexplore.ieee.org
Fog cover is generally present in outdoor scenes, which limits the potential for efficient
information extraction from images. In this paper, the goal of the developed algorithm is to …
information extraction from images. In this paper, the goal of the developed algorithm is to …
Machine learning approach to data processing of TFBG-assisted SPR sensors
ED Chubchev, KA Tomyshev… - Journal of Lightwave …, 2022 - opg.optica.org
Fiber optic sensors are applied in industry, remote sensing, environmental monitoring and
healthcare. A special place is occupied by tilted fiber Bragg gratings, which can significantly …
healthcare. A special place is occupied by tilted fiber Bragg gratings, which can significantly …
A depth-dependent profile of the lipid conformation and lateral packing order of the stratum corneum in vivo measured using Raman microscopy
CS Choe, J Lademann, ME Darvin - Analyst, 2016 - pubs.rsc.org
The intercellular lipid structure of the stratum corneum (SC) plays a key role in skin barrier
function. A depth profile of the intercellular lipid conformation and the lipid lateral packing …
function. A depth profile of the intercellular lipid conformation and the lipid lateral packing …
[PDF][PDF] Image denoising with patch based PCA: local versus global.
Comparing various strategies of reconstruction from the projections onto the basis provided
by PCA, for House and Cameraman (σ= 20): Hard Thresholding, Soft Thresholding,“Keep or …
by PCA, for House and Cameraman (σ= 20): Hard Thresholding, Soft Thresholding,“Keep or …
Spatially adaptive denoising for X-ray cardiovascular angiogram images
The X-ray angiogram image denoising is always one of the most popular research in the
field of computer vision. While the methods removed the noise, the useful structure (such as …
field of computer vision. While the methods removed the noise, the useful structure (such as …
Wavelet enabled convolutional autoencoder based deep neural network for hyperspectral image denoising
Denoising of hyperspectral images (HSIs) is an important preprocessing step to enhance the
performance of its analysis and interpretation. In reality, a remotely sensed HSI experiences …
performance of its analysis and interpretation. In reality, a remotely sensed HSI experiences …
Fast sparsity-based orthogonal dictionary learning for image restoration
In recent years, how to learn a dictionary from input images for sparse modelling has been
one very active topic in image processing and recognition. Most existing dictionary learning …
one very active topic in image processing and recognition. Most existing dictionary learning …
Confocal Raman microscopy and multivariate statistical analysis for determination of different penetration abilities of caffeine and propylene glycol applied …
SM Ascencio, CS Choe, MC Meinke, RH Müller… - European journal of …, 2016 - Elsevier
Propylene glycol is one of the known substances added in cosmetic formulations as a
penetration enhancer. Recently, nanocrystals have been employed also to increase the skin …
penetration enhancer. Recently, nanocrystals have been employed also to increase the skin …