Browsing Faculty Contributions by Subject "Dimensionality reduction"
Now showing items 1-9 of 9
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A comprehensive overview of feature representation for biometric recognition
( Springer , 2020 , Article)The performance of any biometric recognition system heavily dependents on finding a good and suitable feature representation space where observations from different classes are well separated. Unfortunately, finding this ... -
Application of genetic algorithm in selection of dominant input variables in sensor fault diagnosis of nonlinear systems
( 2013 IEEE International Conference on Prognostics and Health Management, PHM 2013 , 2013 , Conference Paper)Industrial processes rely heavily on information provided by sensors. Reliability of sensor data is vital to assure an acceptable performance of these complex and nonlinear processes. In this paper, the analytical redundancy ... -
Combining Fisher locality preserving projections and passband DCT for efficient palmprint recognition
( Elsevier B.V. , 2015 , Article)In this paper a new graph based approach referred to as Fisher Locality Preserving Projections (FLPP) is proposed for efficient palmprint recognition. The technique employs two graphs with the first being used to characterize ... -
Custom IP cores for robust data analysis and pattern recognition algorithms used in gas applications
( Institute of Electrical and Electronics Engineers Inc. , 2013 , Conference Paper)This paper presents an overview of a PhD research project, completed tasks and future work. The aim of the research is to contribute to the improvement of gas identification systems at different levels by designing and ... -
Effective non-intrusive load monitoring of buildings based on a novel multi-descriptor fusion with dimensionality reduction
( Elsevier , 2020 , Article)Recently, a growing interest has been dedicated towards developing and implementing low-cost energy efficiency solutions in buildings. Accordingly, non-intrusive load monitoring has been investigated in various academic ... -
Hardware PCA for gas identification systems using high level synthesis on the Zynq SoC
( Institute of Electrical and Electronics Engineers Inc. , 2013 , Conference Paper)One of the significant stages in a gas identification system is dimensionality reduction to speed up the processing part. This is even more important when the system is implemented on a hardware platform where the resources ... -
Improving In-Home Appliance Identification Using Fuzzy-Neighbors-Preserving Analysis Based QR-Decomposition
( Springer Science and Business Media Deutschland GmbH , 2021 , Conference Paper)This paper proposes a new appliance identification scheme by introducing a novel approach for extracting highly discriminative characteristic sets that can considerably distinguish between various appliance footprints. In ... -
Parameter Set-mapping using kernel-based PCA for linear parameter-varying systems
( Institute of Electrical and Electronics Engineers Inc. , 2014 , Conference Paper)This paper proposes a method for reduction of scheduling dependency in linear parameter-varying (LPV) systems. In particular, both the dimension of the scheduling variable and the corresponding scheduling region are shrunk ... -
PCA IP-core for gas applications on the heterogenous zynq platform
(2013 , Conference Paper)Principal component analysis (PCA) is a commonly used technique for data reduction in general as well as for dimensionality reduction in gas identification systems when a sensor array is being used. This paper presents the ...