3,241 Result(s)
within
Chapter
Li**g Zhao
Information Systems Applications (incl. Internet)
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Chapter and Conference Paper
ID-Agnostic User Behavior Pre-training for Sequential Recommendation
Recently, sequential recommendation has emerged as a widely studied topic. Existing researches mainly design effective neural architectures to model user behavior sequences based on item IDs. However, this kin...
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Chapter and Conference Paper
Using Whole Slide Image Representations from Self-supervised Contrastive Learning for Melanoma Concordance Regression
Although melanoma occurs more rarely than several other skin cancers, patients’ long term survival rate is extremely low if the diagnosis is missed. Diagnosis is complicated by a high discordance rate among pa...
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Chapter and Conference Paper
Automatic Analysis of Human Body Representations in Western Art
The way the human body is depicted in classical and modern paintings is relevant for art historical analyses. Each artist has certain themes and concerns, resulting in different poses being used more heavily t...
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Chapter and Conference Paper
Human-Vehicle Cooperative Visual Perception for Autonomous Driving Under Complex Traffic Environments
Human-vehicle cooperative driving has become one of the critical stages to achieve a higher level of driving automation. For an autonomous driving system, the complex traffic environments bring great challenge...
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Chapter and Conference Paper
SIM2E: Benchmarking the Group Equivariant Capability of Correspondence Matching Algorithms
Correspondence matching is a fundamental problem in computer vision and robotics applications. Solving correspondence matching problems using neural networks has been on the rise recently. Rotation-equivarianc...
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Chapter and Conference Paper
A Deep Wavelet Network for High-Resolution Microscopy Hyperspectral Image Reconstruction
Microscopy hyperspectral imaging (MHSI) integrates conventional imaging with spectroscopy to capture images through numbers of narrow spectral bands, and has attracted much attention in histopathology image an...
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Chapter and Conference Paper
A Review of Crop Recognition Methods Based on Multi-source Remote Sensing Data
How to identify crop types faster and more accurately by integrating multiple sources Remote Sensing (hereafter RS) data has become a key technique in topographic regions, yet few literatures has addressed on ...
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Chapter and Conference Paper
Layer Adaptive Deep Neural Networks for Out-of-Distribution Detection
During the forward pass of Deep Neural Networks (DNNs), inputs gradually transformed from low-level features to high-level conceptual labels. While features at different layers could summarize the important fa...
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Chapter and Conference Paper
FES-Based Hand Movement Control via Iterative Learning Control with Forgetting Factor
Functional electrical stimulation (FES) is an effective approach to restore hand movement function for patients with stroke. In this paper, a multi-electrode hand rehabilitation system is presented. Iterative ...
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Chapter and Conference Paper
Incorporating Commonsense Knowledge into Story Ending Generation via Heterogeneous Graph Networks
Story ending generation is an interesting and challenging task, which aims to generate a coherent and reasonable ending given a story context. The key challenges of the task lie in how to comprehend the story ...
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Chapter and Conference Paper
Recognition of Mechanical Parts Based on Improved YOLOv4-Tiny Algorithm
In order to improve the recognition, detection and gras** of mechanical parts by mechanical arm of factory automatic assembly line and solve the problems of large detection error and low accuracy in traditio...
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Chapter and Conference Paper
The Variation Characteristic of EMG Signal Under Varying Active Torque: A Preliminary Study
Surface Electromyography (sEMG) or EMG contains a large amount of information about human kinematics and kinetics, and has been applied in different working environments. Devices like exoskeletons, smart brace...
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Chapter and Conference Paper
InvisibiliTee: Angle-Agnostic Cloaking from Person-Tracking Systems with a Tee
After a survey for person-tracking system-induced privacy concerns, we propose a black-box adversarial attack method on state-of-the-art human detection models called InvisibiliTee. The method learns printable ad...
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Chapter and Conference Paper
Design of Envelo** Underwater Soft Gripper Based on the Bionic Structure
The ocean has been an important research site for scientists in recent years. Many marine creatures with soft bodies such as sea cucumbers are fragile and easily deformed, so it is difficult when gras** thes...
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Chapter and Conference Paper
Preliminary Study on Adapting ProtoPNet to Few-Shot Learning Using MAML
ProtoPNet proposed by Chen et al. is able to provide interpretability that conforms to human intuition, but it requires many iterations of training to learn class-specific prototypes and does not support few-s...
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Chapter and Conference Paper
Cloud Prediction Based on the Combination of Optical Flow and Deep Learning
Satellite-to-ground laser communication has a problem of being susceptible to specific atmospheric environments, which will attenuate the laser transmission signal severely. To solve this problem, we have to k...
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Chapter and Conference Paper
Managing Learners’ Memory Strength in a POMDP-Based Learning Path Recommender System
This paper views the learning path recommendation task as a sequential decision problem and considers Partially Observable Markov Decision Process (POMDP) as an adequate approach. This work proposes M-POMDP, a...
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Chapter and Conference Paper
Fast Locomotion of Microrobot Swarms with Ultrasonic Stimuli in Large Scale
In recent years, the acitve motion of micro-nano machines has received wide attention due to its potential applications in biomedicine, biosensing, pollution control and other fields. However, the rapid manipu...
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Chapter and Conference Paper
A Current Location Confidence Algorithm for Service Robot in Elder-Care Environment
Identifying the wrong location is one of the prerequisites for mobile service robots to work safely and stably. This paper proposes a current location confidence algorithm (CLCA) suitable for mobile service ro...
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Chapter and Conference Paper
Multi-attention User Information Based Graph Convolutional Networks for Explainable Recommendation
Dealing with sparsity and cold-start problems in recommendation systems has always been a challenge. We propose a Multi-Attention User Information based graph convolutional networks for explainable Recommendat...
