PCANet: A Common Solution for Laser-Induced Fluorescence Spectral Classification
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2933453
Abstract: Laser-induced fluorescence (LIF) technology is an advanced optical detection method, which has the advantages of fast, high precision and nondestructive testing, and is widely used in many fields. The general pattern recognition method for fluorescence… read more here.
Keywords: model; fluorescence spectral; spectral classification; pcanet ... See more keywords
User-Independent American Sign Language Alphabet Recognition Based on Depth Image and PCANet Features
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2938829
Abstract: Sign language is the most natural and effective way for communications among deaf and normal people. American Sign Language (ASL) alphabet recognition (i.e. fingerspelling) using marker-less vision sensor is a challenging task due to the… read more here.
Keywords: american sign; sign; sign language; pcanet ... See more keywords
Global and Local Structure Network for Image Classification
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3258972
Abstract: Principal component analysis network (PCANet) is a feature learning algorithm that is widely used in face recognition and object classification. However, original PCANet still has some shortages. One is that the principal component analysis (PCA)… read more here.
Keywords: network; structure; pcanet; feature ... See more keywords
Stacking PCANet +: An Overly Simplified ConvNets Baseline for Face Recognition
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DOI: 10.1109/lsp.2017.2749763
Abstract: The principal component analysis network (PCANet) is asserted as a parsimonious stacking-based convolutional neural networks (CNNs) instance for generic object recognition including face. However, to be regarded a CNN resemblance, PCANet lacks a nonlinearity in… read more here.
Keywords: pcanet overly; recognition; stacking pcanet; pcanet ... See more keywords
High-Order Triplet CRF-PCANet for Unsupervised Segmentation of Nonstationary SAR Image
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2020.3035665
Abstract: Conditional random fields (CRFs) model is suitable for image segmentation because it can capture the dependencies of observed data and incorporate the spatial correlations into the segmentation process. In this article, to deal with the… read more here.
Keywords: image; hotcrf pcanet; segmentation; high order ... See more keywords