Titlebook: Neural Information Processing; 27th International C Haiqin Yang,Kitsuchart Pasupa,Irwin King Conference proceedings 2020 Springer Nature Sw

Humble

Efficient Binary Multi-view Subspace Learning for Instance-Level Image Retrievalrts are devoted to instance retrieval problem. Besides, although multi-view hashing methods are capable of exploring the complementarity among multiple heterogeneous visual features, they heavily rely on massive labeled training data, and somewhat affects the real-world applications. In this paper,

劇毒

Hyper-Sphere Support Vector Classifier with Hybrid Decision Strategyfication accuracy. But real application data are very complicated and relationships between classification bounding spheres are very complicated too. Based on detailed analysis of relationships between bounding hyper-spheres, a hybrid decision strategy is put forward to solve classification problem

懸崖

沉著

OVER

Online Multi-objective Subspace Clustering for Streaming Dataustering is a technique where the subset of features that are used to represent a cluster are different for different clusters. Most of the streaming data clustering methods primarily optimize only a single objective function which limits the model in capturing only a particular shape or property. H

Supplement

Predicting Information Diffusion Cascades Using Graph Attention Networksial recommendations on social platforms. This paper improves existing models and proposes an end-to-end deep learning method called CasGAT. The method of graph attention network is designed to optimize the processing of large networks. After that, we only need to pay attention to the characteristics

Invertebrate

進(jìn)取心

Simultaneous Customer Segmentation and Behavior Discoverymed Simultaneous Customer Segmentation and Utility Discovery (UtSeg), to discover customer segmentation without knowing specific forms of utility functions and parameters. For the segmentation based on BNP models, the unknown type of functions is usually modeled as a non-homogeneous point process (N

音樂(lè)會(huì)

Structural Text Steganography Using Unseen Tag Attribute Values Aside from images, document files are one of the most exchanged attached content via electronic mailings. In this paper, we present a structural steganographic scheme based on unseen tag attribute values using office documents as the medium. Specifically, we use the XML file that builds the core of

女上癮

Trajectory Anomaly Detection Based on the Mean Distance Deviation the abnormal trajectory from many trajectories has become a hot issue. In order to study trajectory anomaly detection better, we analyze the Sequential conformal anomaly detection in trajectories based on hausdorff distance (SNN-CAD) method, and propose a new measurement method of trajectory distan