224 Result(s)
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Chapter and Conference Paper
Joint Training or Not: An Exploration of Pre-trained Speech Models in Audio-Visual Speaker Diarization
The scarcity of labeled audio-visual datasets is a constraint for training superior audio-visual speaker diarization systems. To improve the performance of audio-visual speaker diarization, we leverage pre-tra...
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Chapter and Conference Paper
A Multi-level Network with Multi-feature Clause Pair Graph for Emotion Cause Pair Extraction
Emotion-cause pair extraction (ECPE) is an emerging task which aims to extract all emotion clauses and corresponding cause clauses in a document. Most current methods use an end-to-end framework with two auxil...
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Chapter and Conference Paper
Consensusless Blockchain: A Promising High-Performance Blockchain Without Consensus
Consensus is unnecessary when the truth is available. In this paper, we present a new perspective of rebuilding the blockchain without consensus. When the consensus phase is eliminated from a blockchain, trans...
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Chapter and Conference Paper
Mining Regional High Utility Co-location Pattern
A co-location pattern is a set of spatial features whose instances are frequently located together in geo-space. In real world, different instances have different distributions and different values. However, e...
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Chapter and Conference Paper
Construction and Evaluation of the Five-in-One Practice Teaching Model
In response to the economic and social development of Tibet Autonomous Region and the demand for information technology construction in the new engineering era, this paper analyzes the communication engineerin...
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Chapter and Conference Paper
Zero-Shot Relation Triplet Extraction via Retrieval-Augmented Synthetic Data Generation
In response to the challenge of existing relation triplet extraction models struggling to adapt to new relation categories in zero-shot scenarios, we propose a method that combines generated synthetic training...
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Chapter and Conference Paper
InterFormer: Human Interaction Understanding with Deformed Transformer
Human interaction understanding (HIU) is a crucial and challenging problem, which consists of two subtasks: individual action recognition and pairwise interactive recognition. Previous methods do not fully cap...
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Chapter and Conference Paper
Style Recognition of Calligraphic Chinese Characters Based on Morphological Convolutional Neural Network
As an indispensable part of the excellent traditional Chinese culture, calligraphic Chinese characters have gradually evolved into different style types in the development process, which has raised the thresho...
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Chapter and Conference Paper
Deep Forest Model Combined with Neural Networks for Finger Joint Continuous Angle Decoding
Many people lose their hand function due to stroke, traffic accidents, and amputation. This paper proposed a new method that can decode hand joint angles from the upper limb’s surface electromyography (sEMG). ...
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Chapter and Conference Paper
CrowdFusion: Refined Cross-Modal Fusion Network for RGB-T Crowd Counting
Crowd counting is a crucial task in computer vision, offering numerous applications in smart security, remote sensing, agriculture and forestry. While pure image-based models have made significant advancements...
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Chapter and Conference Paper
MCVIE: An Effective Batch-Mode Active Learning for Multi-label Text Classification
Data labeling for multi-label text is a challenging task in natural language processing, and active learning has emerged as a promising approach to reduce annotation effort while improving model performance. T...
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Chapter and Conference Paper
Heterogeneous Ensemble for Classifying Electrical Load Reduction in South Africa
Electricity outages in South Africa have become a growing concern for businesses and individuals. Despite improvements in supply, planned outages are becoming regular and manual load reduction is an ever-incre...
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Chapter and Conference Paper
Boundary Attentive Spatial Multi-scale Network for Cardiac MRI Image Segmentation
Accurate automatic segmentation of cardiac MRI images can be used for clinical parameter calculation and provide visual guidance for surgery, which is important for both diagnosis and treatment of cardiac dise...
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Chapter and Conference Paper
Gradual Study Advising with Course Knowledge Graphs
Knowledge graphs (KGs) have been actively studied for pedagogical purposes. To depict the rich but latent relations among different concepts in the course textbook, increasing efforts have been proposed to con...
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Chapter and Conference Paper
MatchFormer: Interleaving Attention in Transformers for Feature Matching
Local feature matching is a computationally intensive task at the subpixel level. While detector-based methods coupled with feature descriptors struggle in low-texture scenes, CNN-based methods with a sequential
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Chapter and Conference Paper
Clustering of Bandit with Frequency-Dependent Information Sharing
In today’s business marketplace, the great demand for develo** intelligent interactive recommendation systems is growing rapidly, which sequentially suggest users proper items by accurately predicting their ...
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Chapter and Conference Paper
Intelligent Instructional Design via Interactive Knowledge Graph Editing
The rapid emergence of knowledge graph (KG) research opens the opportunity for revolutionary educational applications. Most studies in this area use KGs as peripheral sources of educational materials rather th...
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Chapter and Conference Paper
Exploring the Practical Teaching of a Specialized Interim Course in Electronic Information Engineering Under the Background of Artificial Intelligence
Electronic information technology in China is rapidly develo**. With the submission of the idea of artificial intelligence, higher education corresponded to the growth rate of the industrial revolution and t...
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Chapter and Conference Paper
Niagara: Scheduling DNN Inference Services on Heterogeneous Edge Processors
Intelligent applications heavily rely on deep neural network (DNN) inference services executed on edge devices to fulfill functional prerequisites while safeguarding user data privacy. However, the execution o...
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Chapter and Conference Paper
VOYAGE: A Large Collection of Vocabulary Usage in Open RDF Datasets
Shared vocabularies facilitate data integration and application interoperability on the Semantic Web. An investigation of how vocabularies are practically used in open RDF data, particularly with the increasi...
