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Manifold Transfer Subspace Learning (MTSL) for Applications in Aided Target Recognition

Mendoza-Schrock, Olga; Rizki, Mateen M.; Velten, Vincent J. - In: International Journal of Monitoring and Surveillance … 5 (2017) 3, pp. 15-32

This article describes how transfer subspace learning has recently gained popularity for its ability to perform cross-dataset and cross-domain object recognition. The ability to leverage existing data without the need for additional data collections is attractive for monitoring and surveillance...

Persistent link: https://www.econbiz.de/10012046696

Improved AHP and manifold learning model for R&D and transformation functional platform performance evaluation

Cao, Yuhong; You, Jianxin; Shi, Yongjiang; Wei, Hu - In: Argumenta oeconomica 44 (2020) 1, pp. 173-205

Persistent link: https://www.econbiz.de/10012486948

Nonlinear manifold learning for early warnings in financial markets

Huang, Yan; Kou, Gang; Peng, Yi - In: European journal of operational research : EJOR 258 (2017) 2, pp. 692-702

Persistent link: https://www.econbiz.de/10011644452

Calculating principal eigen-functions of non-negative integral kernels : particle approximations and applications

Whiteley, Nick; Kantas, Nikolas - In: Mathematics of operations research 42 (2017) 4, pp. 1007-1034

Persistent link: https://www.econbiz.de/10011773301

A HYBRID BUSINESS FAILURE PREDICTION MODEL USING LOCALLY LINEAR EMBEDDING AND SUPPORT VECTOR MACHINES

Lin, Fengyi; Yeh, Ching Chiang; Lee, Meng Yuan - In: Journal for Economic Forecasting (2013) 1, pp. 82-97

The purpose of this paper is to propose a hybrid model which combines locally linear embedding (LLE) algorithm and support vector machines (SVM) to predict the failure of firms based on past financial performance data. By making use of the LLE algorithm to perform dimension reduction for feature...

Persistent link: https://www.econbiz.de/10010643292

Fault diagnosis for a wind turbine transmission system based on manifold learning and Shannon wavelet support vector machine

Tang, Baoping; Song, Tao; Li, Feng; Deng, Lei - In: Renewable Energy 62 (2014) C, pp. 1-9

Fault diagnosis for wind turbine transmission systems is an important task for reducing their maintenance cost. However, the non-stationary dynamic operating conditions of wind turbines pose a challenge to fault diagnosis for wind turbine transmission systems. In this paper, a novel fault...

Persistent link: https://www.econbiz.de/10010805171

Dependence of locally linear embedding on the regularization parameter

Karbauskaitė, Rasa; Dzemyda, Gintautas; … - In: TOP: An Official Journal of the Spanish Society of … 18 (2010) 2, pp. 354-376

Persistent link: https://www.econbiz.de/10008775626

A Novel Hybridization of Expectation-Maximization and K-Means Algorithms for Better Clustering Performance

Kishor, Duggirala Raja; Venkateswarlu, N.B. - In: International Journal of Ambient Computing and … 7 (2016) 2, pp. 47-74

Expectation Maximization (EM) is a widely employed mixture model-based data clustering algorithm and produces … clustering algorithms. This paper presents an algorithm for the novel hybridization of EM and K-Means techniques for achieving … better clustering performance (NovHbEMKM). This algorithm first performs K-Means and then using these results it performs EM …

Persistent link: https://www.econbiz.de/10012042641

Beacon-Based Cluster Framework for Internet of People, Things, and Services (IoPTS)

Shinde, Gitanjali Rahul; Olesen, Henning - In: International Journal of Ambient Computing and … 9 (2018) 4, pp. 15-33

authors propose a Mobility Aware Clustering Scheme (MACS), which organizes the IoT devices in clusters using a fitness …

Persistent link: https://www.econbiz.de/10012042684

Efficient Golden-Ball Algorithm Based Clustering to solve the Multi-Depot VRP With Time Windows

Guezouli, Lahcene; Abdelhamid, Samir; Bensakhria, Mohamed - In: International Journal of Applied Evolutionary … 9 (2018) 1, pp. 1-16

one, this technique was designed to solve combinatorial optimization problems, and by embedding a clustering algorithm …

Persistent link: https://www.econbiz.de/10012042726

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