Due to the popularity of social media websites, extensive research efforts have been dedicated tag-based image search. Both visual information and tags investigated in field. However, most existing methods use characteristics either separately or sequentially order estimate relevance images. In this paper, we propose an approach that simultaneously utilizes both textual user tagged The estimation is determined with a hypergraph learning approach. method, constructed, where vertices represent...

This paper introduces a web image search reranking approach that explores multiple modalities in graph-based learning scheme. Different from the conventional methods usually adopt single modality or integrate into long feature vector, our can effectively of relevance scores, weights modalities, and distance metric its scaling for each unified In this way, effects different be adaptively modulated better performance achieved. We conduct experiments on large dataset contains more than 1000...

Abstract Solution-based ZnO nanorod arrays (NRAs) were modified with controlled N doping by an advanced ion implantation method and subsequently utilized as photoanodes for photoelectrochemical (PEC) water splitting under visible light irradiation. A gradient distribution of dopants along the vertical direction nanorods was realized. doped NRAs displayed a markedly enhanced visible-light-driven PEC photocurrent density ~160 μA/cm 2 at 1.1 V vs. saturated calomel electrode (SCE), which about...

In image processing, cartoon character classification, retrieval, and synthesis are critical, so that cartoonists can effectively efficiently make cartoons by reusing existing data. To successfully achieve these tasks, it is essential to extract visual features comprehensively represent characters construct an accurate distance metric precisely measure the dissimilarities between characters. this paper, we introduce three features, color histogram, shape context, skeleton, characterize...

Many graph-based semi-supervised learning methods for large datasets have been proposed to cope with the rapidly increasing size of data, such as Anchor Graph Regularization (AGR). This model builds a regularization framework by exploring underlying structure whole dataset both datapoints and anchors. Nevertheless, AGR still has limitations in its two components: (1) anchor graph construction, estimation local weights between each datapoint neighboring anchors could be biased relatively...

A new algorithm called maximum correntropy unscented Kalman filter (MCUKF) is proposed and applied to relative state estimation in space communication networks. As well known, the (UKF) provides an efficient tool solve non-linear estimate problem. However, UKF usually plays Gaussian noises. Its performance may deteriorate substantially presence of non-Gaussian noises, especially when measurements are disturbed by some heavy-tailed impulsive By making use criterion (MCC), can enhance...

Fe₂O₃/TiO₂ nanorod arrays with core–shell structure were prepared <italic>via</italic> a facile hydrothermal and PECVD approach, which show significantly enhanced PEC water splitting ability stability.

Canagliflozin, an inhibitor of sodium glucose co-transporter (SGLT) 2, has been shown to reduce body weight during the treatment type 2 diabetes mellitus (T2DM). In this study, we sought determine role canagliflozin in loss and liver injury obesity. C57BL/6J mice were fed a high-fat diet simulate diet-induced obesity (DIO). Canagliflozin (15 60 mg/kg) was administered DIO for 4 weeks. Orlistat (10 used as positive control. The weight, morphology, total cholesterol (TC) triglyceride (TG)...

The rapid growth of Android malware has posed severe security threats to smartphone users. On the basis familial trait observed by previous work, analysis is a promising way help analysts better focus on commonalities samples within same families, thus reducing analytical workload and accelerating analysis. majority existing approaches rely supervised learning face three main challenges, i.e., low accuracy, efficiency, lack labeled dataset. To address these we first construct fine-grained...

With the continuous development of intelligent technologies, knowledge graph, backbone artificial intelligence, has attracted much attention from both academic and industrial communities due to its powerful capability representation reasoning. In recent years, graph been widely applied in different kinds applications, such as semantic search, question answering, management so on. Techniques for building Chinese graphs are also developing rapidly have constructed support various applications....

The problem of similarity learning is relevant to many data mining applications, such as recommender systems, classification, and retrieval. This particularly challenging in the context networks, which contain different aspects topological structure, content, user supervision. These need be combined effectively, order create a holistic function. In particular, while most methods networks Sim Rank utilize supervision content are rarely considered. this paper, Factorized Similarity Learning...

Knowledge graphs (KGs) are commonly used as side information to enhance collaborative signals and improve recommendation quality. In the context of knowledge-aware (KGR), graph neural networks (GNNs) have emerged promising solutions for modeling factual semantic in KGs. However, long-tail distribution entities leads sparsity supervision signals, which weakens quality item representation when utilizing KG enhancement. Additionally, binary relation KGs simplifies hyper-relational facts, making...

As one of the key diagnostic methods for detecting biomarkers and antigen-antibody interactions, luminescent oxygen channel immunoassay (LOCI) has been widely applied in bioanalysis other fields. In context LOCI, performance prepared donor polystyrene (PS) microspheres significantly impacts detection signal values. this study, an attempt was made to synthesize PS via one-step polymerization styrene with amphiphilic monomer (PEOOH), followed by swelling silicon phthalocyanine photosensitizer...

Background: Ecological, cultural, and aesthetic values are considered vital in developing sustainable tourism within the rural landscapes of Hunan, Guangxi, Guizhou, Chongqing. Inadequacies conducting biomechanical visual analysis have led to a failure creating safe, comfortable, aesthetically pleasing landscape. The following study conducts an assessment factors that shape landscape, indicating interdisciplinary approach is essential addressing challenges from this perspective. Objective:...