Acquisition of the standard plane is prerequisite biometric measurement and diagnosis during ultrasound (US) examination. In this paper, a new algorithm developed for automatic recognition fetal facial planes (FFSPs) such as axial, coronal, sagittal planes. Specifically, densely sampled root scale invariant feature transform (RootSIFT) features are extracted then encoded by Fisher vector (FV). The network with multi-layer design also to extract spatial information boost classification...

Cloud computing is an elastic model that the users can lease resources from rentable infrastructure. gaining popularity due to its lower cost, high reliability and huge availability. To utilize powerful capability of cloud computing, this paper import it into data mining machine learning field. As one most influential open competition in area, Netflix Prize attached with mass storage had driven thousands teams across world attack problem, among which final winner was BellKor's Pragmatic...

Our objective is to study how obtain features which can reflect the continuity and internal dynamic changes of electroencephalography (EEG) signals an effective method for fatigued driving state recognition based on obtained features.A EEG signalfeature extraction functional data analysis proposed. Combined with kernel principal component method, are applied driver fatigue state, a corresponding model constructed.The tested real collected by selecting suitable classifier. The test results...

In recent years, the uncertain data stream which is related in many real applications attracts more and attention of researchers. As one aspect character, existence-uncertainty can affect clustering process results significantly. The lately reported algorithms are all based on K-Means algorithm with inhere shortage. DCUStream density-based over proposed this paper. It find arbitrary shaped clusters less time cost high dimension stream. meantime, a dynamic density threshold designed to...

Multi-view feature learning can provide basic information for consistent grouping, and is very common in practical applications, such as judicial document clustering. However, it a challenge to combine multiple heterogeneous features learn comprehensive description of data samples. To solve this problem, many methods explore the correlation between various across views by assuming that all share same semantic information. Inspired this, paper we propose new multi-view robust (MRFL) method....

This paper describes an automatic recognition approach for facial expression from nearly front view face image. work has two contributions. The first is a method adaptively generating the initial model Active Appearance Models (AAM) fitting, which allows features under large variation to be detected more accuracy. second introduction of set hybrid features, consist geometric AAM shape and appearance parameters. These can optimized when adopting quadratic mutual information (QMI) feature...

The optical network encompasses numerous devices and links, generating a significant volume of logs. Analyzing these logs is for optimization, failure diagnosis, health monitoring. However, the large-scale diverse formats present several challenges, including high cost difficulty manual processing, insufficient semantic understanding in existing analysis methods, strict requirements data security privacy. Generative artificial intelligence (GAI) with powerful language generation capabilities...

In this paper, two novel methods for SAR image super-resolution (SR) are proposed. The main challenge SR reconstruction is speckle noise. For reason, a algorithm termed the importance sampling cubature Kalman filter (ISCKF) proposed to reconstruct high resolution (HR) from series of low-resolution (LR) images. However, as reconstructed usually embraces residual noise visually, we establish nonlinear low-rank optimization model in order further reduce drastically. Correspondingly, an...

Covert faults are characterized by the performance parameters falling within normal range, without any observable abnormalities. These types of pose a significant risk as they present no apparent warning signs potential danger. Therefore, it is crucial to establish an efficient covert fault detection method ensure reliable and stable operation optical networks. Data-driven technology, which reveals internal relations data patterns between historical mining analyzing data, offers new...

Image change detection is based on the analysis in different time from same area of two or more images, detect feature region information changes over time. Remote sensing image has been widely used such as dynamic monitoring forest resources monitoring, land cover and use, agricultural survey, urban planning layout, environmental analysis, assessment natural disasters, geographic data update military reconnaissance strategic objectives (such roads, Bridges, airports) many other fields....

Randomized weights neural networks have fast learning speed and good generalization performance with one single hidden layer structure. Input weighs of the are produced randomly. By employing certain activation function, outputs calculated some randomization. Output computed using pseudo inverse. Mutual information can be used to measure mutual dependence two variables quantitatively based on probability theory. In this paper, these layer's that relate prediction variable closely selected...

Adversarial examples, crafted by adding perturbations imperceptible to humans, can deceive neural networks. Recent studies identify the adversarial transferability across various models, \textit{i.e.}, cross-model attack ability of samples. To enhance such transferability, existing input transformation-based methods diversify data with transformation augmentation. However, their effectiveness is limited finite number available transformations. In our study, we introduce a novel approach...

In this paper a method to establish Virtual Chinese Human Eye was presented. method, five datasets were established base on eye tissue slices. 3-D structure model, physical and physiological model of eyeball built up. Someone them can be used in education clinic. The research still awaits long-term will have major effect