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Fault detection using dynamic time war** (DTW) algorithm and discriminant analysis for swine wastewater treatment
BH Jun - Journal of hazardous materials, 2011 - Elsevier
This paper proposes a diagnosis system using dynamic time war** (DTW) and
discriminant analysis with oxidation–reduction potential (ORP) and dissolved oxygen (DO) …
discriminant analysis with oxidation–reduction potential (ORP) and dissolved oxygen (DO) …
Neighborhood feature line segment for image classification
In this paper, two improved classifiers based on the nearest feature line (NFL) are proposed
for image classification, where the neighborhood feature line segment-I (NFLS-I) classifier …
for image classification, where the neighborhood feature line segment-I (NFLS-I) classifier …
Rectified nearest feature line segment for pattern classification
This paper points out and analyzes the advantages and drawbacks of the nearest feature
line (NFL) classifier. To overcome the shortcomings, a new feature subspace with two simple …
line (NFL) classifier. To overcome the shortcomings, a new feature subspace with two simple …
An enhanced manifold alignment method for fault diagnosis of liquid-cooled plate based on manifold distance features
X Liu, C Shang, W Wang, M Wu, H Bao - Measurement, 2025 - Elsevier
The application of data-driven fault diagnosis in structural health monitoring (SHM)
encounters several challenges. One major obstacle is obtaining a large quantity of accurate …
encounters several challenges. One major obstacle is obtaining a large quantity of accurate …
[PDF][PDF] Restricted Nearest Feature Line with Ellipse for Face Recognition.
In this paper, a novel classifier based on nearest feature line is proposed, which is called as
restricted nearest feature line with ellipse (RNFLE). NFL successfully improves the …
restricted nearest feature line with ellipse (RNFLE). NFL successfully improves the …
A novel classifier based on shortest feature line segment
DQ Han, CZ Han, Y Yang - Pattern Recognition Letters, 2011 - Elsevier
A new approach called shortest feature line segment (SFLS) is proposed to implement
pattern classification in this paper, which can retain the ideas and advantages of nearest …
pattern classification in this paper, which can retain the ideas and advantages of nearest …
A generalization of dissimilarity representations using feature lines and feature planes
Even though, under representational restrictions, the nearest feature rules and the
dissimilarity-based classifiers are feasible alternatives to the nearest neighbor method; …
dissimilarity-based classifiers are feasible alternatives to the nearest neighbor method; …
Label space embedding of manifold alignment for domain adaption
J Wang, X Li, J Du - Neural Processing Letters, 2019 - Springer
In recent years, domain adaptation methods have aroused much interest in the machine
learning community which transfer labeled information from the source domain to the target …
learning community which transfer labeled information from the source domain to the target …
Neighborhood discriminant nearest feature line analysis for face recognition
A novel subspace learning algorithm named neighborhood discriminant nearest feature line
analysis (NDNFLA) is proposed in this paper. NDNFLA aims to find the discriminant feature …
analysis (NDNFLA) is proposed in this paper. NDNFLA aims to find the discriminant feature …
Using nearest feature line and tunable nearest neighbor methods for prediction of protein subcellular locations
The subcellular location of a protein is closely correlated with it biological function. In this
paper, two new pattern classification methods termed as Nearest Feature Line (NFL) and …
paper, two new pattern classification methods termed as Nearest Feature Line (NFL) and …