264 Result(s)
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Article
Improving customer satisfaction in the hotel industry by fusing multi-source user-generated content: An integration method based on the heuristic-systematic model and evidence theory
Improving customer satisfaction is the key factor in enhancing the core competitiveness of hotels, as higher customer satisfaction can lead to long-term benefits such as a positive reputation, customer loyalty...
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Article
Domain adaptive knowledge tracing
Knowledge Tracing (KT) is one of the fundamental tasks in intelligent education, which mainly predicts students’ performance on new questions based on their historical learning interaction behavior. Although m...
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Article
CLINER: exploring task-relevant features and label semantic for few-shot named entity recognition
Few-shot named entity recognition aims at recognizing novel-class named entities in low resources scenarios. Low resource scenarios contain limited data in the support set with sparse labels. Existing methods ...
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Chapter and Conference Paper
Construction of Minecraft Virtual Reality Scene Based on Voxel Point Cloud
Virtual Reality is an important development direction in recent years. Minecraft, a popular sandbox game, has a great potential to become a virtual reality platform for building immersive environments. Traditi...
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Chapter and Conference Paper
An Intelligent Ranking Evaluation Method of Simulation Models Based on Graph Neural Network
To validate the alternative simulation models and select the most credible one when the models have multivariate and correlated outputs, an intelligent ranking evaluation method of simulation models based on G...
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Chapter and Conference Paper
Fair Incentive Allocation for Secure Data Sharing in Blockchain Systems: A Shapley Value Based Mechanism
In the contemporary era of information technology, the exponential surge in data has rendered colossal potential value, which would be fully unlocked through data circulation and sharing. However, when the dat...
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Chapter and Conference Paper
A Distributed Vehicle-Infrastructure Cooperation System Based on OpenHarmony
The rapid advancement of transportation has sparked interest in Vehicle-Infrastructure Cooperation System (VICS), a novel transportation system that emphasizes the coordination of transportation facilities. Ho...
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Chapter and Conference Paper
FASSET: Frame Supersampling and Extrapolation Using Implicit Neural Representations of Rendering Contents
Despite recent advances in ray tracing hardwares, ray budgets are still limited for many rendering applications, especially when global illumination is enabled. This typically results in undersampling, which m...
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Chapter and Conference Paper
Auto-Enhanced Population Diversity with Two Options
This paper proposes an auto-enhanced population diversity with two options (TO-AEPD) for addressing the premature convergence of CMA-ES. TO-AEPD is founded on a modification of AEPD. By quantifying the populat...
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Article
Semi-supervised sparse representation collaborative clustering of incomplete data
Sparse subspace clustering (SSC) focuses on revealing the structure and distribution of high dimensional data from an algebraic perspective. It is a two-phase clustering technique, performing sparse representa...
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Article
Effective Model Compression via Stage-wise Pruning
Automated machine learning (AutoML) pruning methods aim at searching for a pruning strategy automatically to reduce the computational complexity of deep convolutional neural networks (deep CNNs). However, some...
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Article
SEPAKE: a structure-enhanced and position-aware knowledge embedding framework for knowledge graph completion
Knowledge Graphs (KGs) provide supportively structured knowledge and have been applied to various downstream applications. Given a large amount of incomplete knowledge in KGs, knowledge graph completion (KGC) ...
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Chapter and Conference Paper
Cross Attention with Deep Local Features for Few-Shot Image Classification
Traditional few-shot learning methods that rely on image-level features have been widely adopted, but they may not be effective in representing the local information of images. Recently, some methods have intr...
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Chapter and Conference Paper
Explicit Exploring Geometric Modality for Shape-Enhanced Single-View 3D Face Reconstruction
For 3D shape inference, single-view 3D Face Reconstruction heavily relies on capturing geometric structure information from the 2D face. Most 3DMM-based approaches learn the geometry parameters directly from t...
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Chapter and Conference Paper
Deep Learning-Based CNN-LSTM Model Used for Predicting Pose Error of Stewart Platform
The Stewart platform is a typical 6-DOF (six-degree-of-freedom) parallel platform, which has been widely used in aeronautic testing, robot manufacturing, and underwater researching. The accuracy of static pose...
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Chapter and Conference Paper
Wavelet Knowledge Distillation via Decoupled Target for Scene Text Detection
In this paper, we investigate the knowledge distillation strategy for training a compact student model for scene text detection, using a cumbersome teacher model that is too computational to apply on resource-...
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Chapter and Conference Paper
The Convolutional Neural Network Combing Feature-Aligned and Attention Pyramid for Fine-Grained Visual Classification
Fine-grained visual classification (FGVC) heavily relies on partial localization and part-based discriminant feature learning. The current methods mainly focus on extracting information from high-level feature...
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Chapter and Conference Paper
Hypergraph Enhanced Contrastive Learning for News Recommendation
With the explosion of news information, user interest modeling plays an important role in personalized news recommendation. Many existing methods usually learn user representations from historically clicked ne...
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Chapter and Conference Paper
Facial Expression Recognition Based on Fused Features and Support Vector Machine
Traditional facial expression recognition methods often suffer from low feature dimension and low recognition rates. These methods typically extract features limited to commonly used image features, while over...
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Chapter and Conference Paper
An All-terrain Mobile Platform for Multi-Modal Perception and Traversability Estimation
In this paper, we present a fast, multi-modal perception solution for vehicles or robots traversing in a wide range of terrains, specially designed for off-road environments. We combine images from fisheye cam...
