Tensor Locality Preserving Sparse Projection for Image Feature Extraction
Sign Up to like & getrecommendations! Published in 2017 at "Neural Processing Letters"
DOI: 10.1007/s11063-017-9674-7
Abstract: Manifold learning is a hot topic in feature extraction, wherein high-dimensional data is represented in a potential low-dimensional manifold. In this paper, a novel manifold-learning method called tensor locality preserving sparse projection (TLPSP) is proposed,… read more here.
Keywords: locality preserving; sparse projection; locality; feature extraction ... See more keywords
Using Locality Preserving Projections to Improve the Performance of Kernel Clustering
Sign Up to like & getrecommendations! Published in 2020 at "Neural Processing Letters"
DOI: 10.1007/s11063-020-10252-5
Abstract: Many clustering methods may have poor performance when the data structure is complex (i.e., the data has an aspheric shape or non-linear relationship). Inspired by this view, we proposed a clustering model which combines kernel function… read more here.
Keywords: locality preserving; kernel; performance; preserving projections ... See more keywords
Robust discriminant analysis with adaptive locality preserving
Sign Up to like & getrecommendations! Published in 2019 at "International Journal of Machine Learning and Cybernetics"
DOI: 10.1007/s13042-018-00903-4
Abstract: Conventional linear discriminant analysis methods commonly ignore the information loss and locality preserving, which greatly limits their performance. To address these issues, we propose a novel discriminant analysis method for feature extraction in this paper.… read more here.
Keywords: discriminant analysis; projection; locality preserving; analysis ... See more keywords
Locality preserving fusion of multi-source images for sea-ice classification
Sign Up to like & getrecommendations! Published in 2019 at "Acta Oceanologica Sinica"
DOI: 10.1007/s13131-019-1464-2
Abstract: We present a novel sea-ice classification framework based on locality preserving fusion of multi-source images information. The locality preserving fusion arises from two-fold, i.e., the local characterization in both spatial and feature domains. We commence… read more here.
Keywords: locality; multi source; locality preserving; fusion ... See more keywords
Nonlinear fault detection of batch processes based on functional kernel locality preserving projections
Sign Up to like & getrecommendations! Published in 2018 at "Chemometrics and Intelligent Laboratory Systems"
DOI: 10.1016/j.chemolab.2018.10.010
Abstract: Abstract Data-driven fault detection technique has exhibited its wide applications in industrial process monitoring. The batch dataset is often organized as a special three-way array (i.e., batch × variable × time), and the research of data-based batch process monitoring… read more here.
Keywords: kernel locality; locality preserving; process; preserving projections ... See more keywords
Locality preserving partial least squares discriminant analysis for face recognition
Sign Up to like & getrecommendations! Published in 2019 at "Journal of King Saud University - Computer and Information Sciences"
DOI: 10.1016/j.jksuci.2019.10.007
Abstract: Abstract We propose a locality preserving partial least squares discriminant analysis (LPPLSDA) which adds a locality preserving feature to the conventional partial least squares discriminant analysis(PLS-DA). The locality preserving feature captures the within group structural… read more here.
Keywords: squares discriminant; least squares; locality; locality preserving ... See more keywords
Quality-Relevant Fault Monitoring Based on Locality-Preserving Partial Least-Squares Statistical Models
Sign Up to like & getrecommendations! Published in 2017 at "Industrial & Engineering Chemistry Research"
DOI: 10.1021/acs.iecr.7b00248
Abstract: Nonlinear partial least-squares (NPLS) is widely used in quality-relevant process control and fault diagnosis for strongly nonlinear systems; however, the existing NPLS approaches suffer from various disadvantages. This study proposes a novel statistical model based… read more here.
Keywords: locality preserving; quality relevant; least squares; partial least ... See more keywords
An Adaptive Affinity Matrix Optimization for Locality Preserving Projection via Heuristic Methods for Hyperspectral Image Analysis
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2019.2947355
Abstract: Locality preserving projection (LPP) has been often used as a dimensionality reduction tool for hyperspectral image analysis especially in the context of classification since it provides a projection matrix for embedding test samples to low… read more here.
Keywords: heat kernel; locality preserving; projection; affinity matrix ... See more keywords
Novel K-Medoids Based SMOTE Integrated With Locality Preserving Projections for Fault Diagnosis
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2022.3218551
Abstract: In the field of the fault diagnosis of industrial processes, there are many problems in process data, such as missing critical fault data, high repeatability of normal state data, and poor representation of faults data,… read more here.
Keywords: preserving projections; fault diagnosis; fault; locality preserving ... See more keywords
On Distinguishing of Non-Signaling Boxes via Completely Locality Preserving Operations
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Information Theory"
DOI: 10.1109/tit.2017.2684130
Abstract: We introduce a scenario of discrimination between bipartite boxes and apply it to boxes with two binary inputs and two binary outputs ( $2\times 2$ ). We develop the analogy between the theory of Bell… read more here.
Keywords: tex math; locality preserving; completely locality; inline formula ... See more keywords
Novel Discriminant Locality Preserving Projection Integrated With Monte Carlo Sampling for Fault Diagnosis
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Reliability"
DOI: 10.1109/tr.2021.3115108
Abstract: In complex industrial processes, the technique of fault diagnosis has been playing an increasingly considerable role in ensuring the safety of life and property. Unfortunately, the process data of complex industrial processes have the features… read more here.
Keywords: discriminant locality; fault diagnosis; preserving projection; locality preserving ... See more keywords