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2,055 Result(s)
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Chapter and Conference Paper
A Learnable Graph Convolutional Neural Network Model for Relation Extraction
Relation extraction is the task of extracting the semantic relationships between two named entities in a sentence. The task relies on semantic dependencies relevant to named entities. Recently, graph convoluti...
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Chapter and Conference Paper
Design of a Cable-Driven Interactive Rehabilitation Device with 3D Trajectory Tracking and Force Feedback
The design of a cable-driven interactive rehabilitation device with 3D trajectory tracking and force feedback is presented in this paper. This device is designed for the upper limb active training, including m...
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Chapter and Conference Paper
PolSF: PolSAR Image Datasets on San Francisco
Polarimetric SAR data has the characteristics of all-weather, all-time and so on, which is widely used in many fields. However, the data of annotation is relatively small, which is not conducive to our resear...
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Chapter and Conference Paper
Detection of Response to Instruction in Autistic Children Based on Human-Object Interaction
Autism is a childhood developmental disorder characterized by impairments in social interaction, verbal and nonverbal communication, narrow interests, and repetitive stereotypes, starting in infancy and early ...
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Chapter and Conference Paper
Vision-Based Action Detection for RTI Protocol of ASD Early Screening
Autism Spectrum Disorder (ASD) is a congenital neurodevelopmental disorder, and the number of ASD has been increasing in recent decades worldwide. Early screening is essential for proper treatment and interven...
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Chapter and Conference Paper
Early Screening of ASD Based on Hand Gesture Analysis
Neurodevelopmental disorder refers to behavioral and cognitive impairment during development, which is manifested as significant difficulties in intelligence, motor or social skills. Among these disorders, aut...
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Chapter and Conference Paper
My English Teachers Are Not Human but I Like Them: Research on Virtual Teacher Self-study Learning System in K12
English is the most used second language in the world. Mastering vocabulary is the prerequisite for learning English well. In middle school, students direct their own studying outside the classroom to facilita...
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Chapter and Conference Paper
Adaptive Channel Encoding Transformer for Point Cloud Analysis
Transformer plays an increasingly important role in various computer vision areas and has made remarkable achievements in point cloud analysis. Since existing methods mainly focus on point-wise transformer, an...
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Chapter and Conference Paper
Cross-Lingual Product Retrieval in E-Commerce Search
Cross-lingual product retrieval (CLPR) recalls semantically relevant products that match multilingual search queries. It plays a crucial role in E-commerce sites to serve cross-border customers. However, there...
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Chapter and Conference Paper
Multi-task Facial Landmark Detection Network for Early ASD Screening
Joint attention is an important skill that involves coordinating the attention of at least two individuals towards an object or event in early child development, which is usually absent in children with autism...
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Chapter and Conference Paper
A Coarse-to-Fine Human Visual Focus Estimation for ASD Toddlers in Early Screening
Human visual focus is a vital feature to uncover subjects’ underlying cognitive processes. To predict the subject’s visual focus, existing deep learning methods learn to combine the head orientation, location,...
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Chapter and Conference Paper
Assessing Classifier Fairness with Collider Bias
The increasing application of machine learning techniques in everyday decision-making processes has brought concerns about the fairness of algorithmic decision-making. This paper concerns the problem of collid...
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Chapter and Conference Paper
Designing for Perceived Intelligence in Human-Agent Interaction: A Systematic Review
The aim of the current study was to identify design elements that influence the perceived intelligence of an agent to inform the design of human-agent interfaces. An agent’s level of perceived intelligence by ...
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Chapter and Conference Paper
Goal Generation and Management in NARS
AGI systems should be able to pursue their many goals autonomously while operating in realistic environments which are complex, dynamic, and often novel. This paper discusses the theory and mechanisms for goal...
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Chapter and Conference Paper
Identification of Experts in the Security Field Based on the Hypernet S-edgeRank Algorithm
In recent years, national security has become increasingly important. However, since most security fields are still in their infancy and expert resources are scarce, governments and enterprises often fall into...
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Chapter and Conference Paper
RSMatch: Semi-supervised Learning with Adaptive Category-Related Pseudo Labeling for Remote Sensing Scene Classification
Remote sensing scene classification (RSSC) has become a hot and challenging research topic in recent years due to its wide applications. Due to the development of convolutional neural networks (CNN), the data...
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Chapter and Conference Paper
Kinematic Analysis and Optimization of a New 2R1T Redundantly Actuated Parallel Manipulator with Two Moving Platforms
Redundantly actuated parallel manipulators (RAPMs) with two rotations and one translation (2R1T) are suitable for some manufacturing applications where high precision and speed are required. In this paper, a n...
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Chapter and Conference Paper
Leveraged Mel Spectrograms Using Harmonic and Percussive Components in Speech Emotion Recognition
Speech Emotion Recognition (SER) affective technology enables the intelligent embedded devices to interact with sensitivity. Similarly, call centre employees recognise customers’ emotions from their pitch, ene...
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Chapter and Conference Paper
Design of Virtual Reality Scenes on Horticultural Therapy Treatment
The prevalence of depression and anxiety disorders has increased dramatically in the last two years due to the global COVID-19 epidemic, which leads to a shortage of traditional mental health care resources. T...
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Chapter and Conference Paper
Highlight Detection and Removal Method Based on Bifurcated-CNN
Many visual tasks of intelligent robots as object detection and tracking are very easily interfered by the specular highlights. Existing highlight detection and removal methods often suffer from low sensitivit...