Results 1 to 10 of about 148,863 (263)

Enhancing Electronic Nose Performance Based on a Novel QPSO-KELM Model

Sensors, 2016
A novel multi-class classification method for bacteria detection termed quantum-behaved particle swarm optimization-based kernel extreme learning machine (QPSO-KELM) based on an electronic nose (E-nose) technology is proposed in this paper.
Chao Peng, Jia Yan, Shukai Duan, Lidan Wang, Pengfei Jia, Songlin Zhang   +5 more
doaj   +1 more source

Matrix inequalities and kernels of linear transformations [PDF]

Pacific Journal of Mathematics, 1972
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +2 more sources

Implementation of the Support Vector Machine (SVM) Algorithm on Sentiment Analysis of Public Opinion on The Prohibition of the use of Syrupy Drugs for Kidney Health

Sistemasi: Jurnal Sistem Informasi
In 2022, the Indonesian Ministry of Health reported several cases of pediatric acute renal failure (GGAPA), which resulted in a mortality rate of 59%, mainly among children aged between 1-5 years.
Galih Purnomo, Rumini Rumini, Tri Susanto   +2 more
doaj   +1 more source

Integrated Features by Administering the Support Vector Machine (SVM) of Translational Initiations Sites in Alternative Polymorphic Contex [PDF]

International Journal Bioautomation, 2012
Many algorithms and methods have been proposed for classification problems in bioinformatics. In this study, the discriminative approach in particular support vector machines (SVM) is employed to recognize the studied TIS patterns.
Nurul Arneida Husin, Nanna Suryana Herman, Burairah Hussin, Nanna Suryana Herman, Burairah Hussin   +4 more
doaj  

Kernel Methods for Discrete-Time Linear Equations [PDF]

, 2019
Methods from learning theory are used in the state space of linear dynamical systems in order to estimate the system matrices and some relevant quantities such as a the topological entropy.
Boumediene Hamzi, Fritz Colonius
openaire   +3 more sources

Facial Expression Recognition Based on Local Binary Patterns and Kernel Discriminant Isomap

Sensors, 2011
Facial expression recognition is an interesting and challenging subject. Considering the nonlinear manifold structure of facial images, a new kernel-based manifold learning method, called kernel discriminant isometric mapping (KDIsomap), is proposed ...
Xiaoming Zhao, Shiqing Zhang
doaj   +1 more source

Join multiple Riemannian manifold representation and multi‐kernel non‐redundancy for image clustering

CAAI Transactions on Intelligence Technology
Image clustering has received significant attention due to the growing importance of image recognition. Researchers have explored Riemannian manifold clustering, which is capable of capturing the non‐linear shapes found in real‐world datasets.
Mengyuan Zhang, Jinglei Liu
doaj   +1 more source

Within‐component and between‐component multi‐kernel discriminating correlation analysis for colour face recognition

IET Computer Vision, 2017
The key problem of colour face recognition technique is how to take full advantage of the colour information and extract effective discriminating features.
Qian Liu, Chao Wang
doaj   +1 more source

Monthly Runoff Time Series Prediction Based on STL-WPT-RFO-HLSTSVR Model

Renmin Zhujiang
To improve the accuracy of monthly runoff time series prediction and enhance the performance of the least squares twin support vector regression (LSTSVR) machine, a mixed kernel function was constructed for the first time based on the Gaussian kernel ...
GUO Tingting, CUI Dongwen
doaj   +2 more sources

Training Mahalanobis Kernels by Linear Programming [PDF]

, 2012
The covariance matrix in the Mahalanobis distance can be trained by semi-definite programming, but training for a large size data set is inefficient. In this paper, we constrain the covariance matrix to be diagonal and train Mahalanobis kernels by linear programming (LP).
openaire   +1 more source