As an important category of clustering methods, subspace algorithms have arisen particular attention during the last decade. Most are designed by first constructing a similarity matrix and then using spectral to perform clustering. How learn suitable representation construct is essential performance. In most existing algorithms, solved norm-minimization, which commonly enforces error with nuclear norm or sparsity norm. However, these methods may fail achieve satisfactory performance for real...

Time-series prediction is a popular application that relies on the collection of historical data via sensors, which then leveraged by predictive models to forecast future values or trends. As an important online model, kernel adaptive filtering (KAF) has attracted much attention over past decade. The traditional least-mean square (KLMS) derived based minimizing mean error (MSE) criterion, inevitably suffers from performance deterioration for nonlinear regression tasks corrupted non-Gaussian...

The maximum correntropy criterion (MCC) algorithm depends upon two fundamental parameters, i.e., step-size and kernel width. Previous studies of parameter optimization in the MCC mainly focus on a single (mainly width), lacking research concerning both parameters. To this end, letter investigates novel scheme simultaneously involving framework is based making power weight error vector undergo steepest attenuation. Under premise maintaining same evolutionary trend for time-varying width, we...

The Euclidean direction search (EDS) algorithm can reduce the complexity by avoiding matrix inversion operation. However, it may fail to work in impulsive environments. To address this problem, a novel EDS based upon maximum correntropy criterion (EDS-MCC) is proposed, which provides computational savings and robustness for combating noise. Additionally, EDS-MCC analyzed obtain theoretical performance utilizing energy conservation argument (ECA) Taylor expansion method. Simulations are...

To study the air leakage from gasket joints of maglev train tubes, this paper presents a combined experimental and computational to investigate microleakage potential at circumferential joints. Two new apparatuses were designed test contact pressure rate considering stress relaxation effect under coupled condition "pre-compression low-to-vacuum", surface prediction model combining macroscopic mechanics microscopic pores was developed which effectively reflects slip effect. The impact key...

Temporal graph representation learning has drawn considerable attention in recent years. Most existing works mainly focus on modeling local structural dependencies of temporal graphs. However, underestimating the inherent global role information many real-world graphs inevitably leads to sub-optimal representations. To overcome this shortcoming, we propose a novel <u>R</u>ole-based <u>T</u>emporal <u>G</u>raph <u>C</u>onvolution <u>N</u>etwork (RTGCN) that fully leverages Specifically, RTGCN...

Recently, multi-view learning has witnessed a considerable interest on the research of trusted decision-making. Previous methods are mainly inspired from an important paper published by Han et al. in 2021, which formulates Trusted Multi-view Classification (TMC) framework that aggregates evidence different views based Dempster's combination rule. All these only consider inter-view aggregation, yet lacking exploitation intra-view information. In this paper, we propose generalized...

A novel method for image segmentation is proposed. Considering the results obtained by using multiphase Chan-Vese model are dependent on initial conditions, an edge link used to obtain curve firstly. Based Four Color Theorem, we can assume that in general, at most two level set functions sufficient detect and represent distinct intensities. Then use improved four phase segment image. Experimental of multi-objects demonstrate efficiency accuracy algorithm its operations.

The numerical calculation and analysis of electrothermal coupling field play an important role in fault structural optimization power equipment. However, the traditional finite element algorithm has poor accuracy consumes a long time. In this paper, high-performance for electro-thermal based on high order is proposed. mathematical model established, high-order grid elements with better approximation effect are generated to improve accuracy. At same time, correlation between each step...

This paper considers the large-scale order batching problem (OBP) in picker-to-parts manual picking warehouses with new features of multiple blocks and ultra-narrow aisles, observed from one largest online retailers China. To address these large instances, we develop a two-stage intelligent heuristic algorithm which can help get satisfied solutions effectively. In first stage, cluster orders into groups according to between-block routes applying Hong's route-packing-based procedure (RBP)...

This research mainly is about the ecological risk and distribution features of PAHs in sediment Taihu lake as well source by studying 38 samples Lake. The results show 16 which United States Environmental Protection Agency (EPA) released priority pollutants sediments were detected Lake .PAHs surface at study area are from combustion wood coal pyrolysis fossil fuels; high ring compounds, on behalf fuels, conditions temperature, accounts total for 75.1%.The relatively low area, but river...

Over the past decade, spline adaptive filtering (SAF) has attracted much attention in nonlinear signal processing. In this paper, we investigate WL complex-valued SAF (WL-CSAF) algorithm complex domain based on cascaded architecture combining a widely linear (WL) model and lookup table (LUT), which is capable of exploiting full second-order information signals. Moreover, steady-state mean square error (MSE) analyzed to provide insights into theoretical behavior WL-CSAF algorithm. Simulations...

Latent multi-view subspace clustering has been demonstrated to have desirable performance. However, the original latent representation method vertically concatenates data matrices from multiple views into a single matrix along direction of dimensionality recover matrix, which may result in an incomplete information recovery. To fully space representation, we this paper propose Enhanced Multi-view Subspace Clustering (ELMSC) method. The ELMSC involves constructing augmented that enhances...

The earth's crust Cluck value, the shale abundance sandstone value and so on may become in weight different land sector rock type element centralism dispersible standard, becomes more general geochemistry reference baseline, but uses above baseline shortcoming not to consider natural change. When specific area, under geological background conducts environment research, limitation be obvious. On contrary, represents humanity moves disturbs local some place prompt survey density, is research...

Based on a great deal of geological data, we analyzed the tectonic features Zhaoguan mine field. On basis analytical method traditional geology, paper revealed general development mechanism structures this research area. Combined with fractal theory, and taking calculation chart reserve in coal seam as foundation drawing, faults folds can be deeply studied to obtain their characteristics structure complexity area quantificationally evaluated.