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Inner Attention Modeling for Flexible Teaming of Heterogeneous Multi Robots Using Multi-Agent Reinforcement Learning
With the advantages of member diversity and team scale, heterogeneous mu...
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Bipartite Distance for Shape-Aware Landmark Detection in Spinal X-Ray Images
Scoliosis is a congenital disease that causes lateral curvature in the s...
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Human-Like Decision Making for Autonomous Driving: A Noncooperative Game Theoretic Approach
Considering that human-driven vehicles and autonomous vehicles (AVs) wil...
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An Integrated Framework of Decision Making and Motion Planning for Autonomous Vehicles Considering Social Behaviors
This paper presents a novel integrated approach to deal with the decisio...
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Partly Supervised Multitask Learning
Semi-supervised learning has recently been attracting attention as an al...
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Analysis of Scoliosis From Spinal X-Ray Images
Scoliosis is a congenital disease in which the spine is deformed from it...
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Non-Local Part-Aware Point Cloud Denoising
This paper presents a novel non-local part-aware deep neural network to ...
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Inner Attention Supported Adaptive Cooperation for Heterogeneous Multi Robots Teaming based on Multi-agent Reinforcement Learning
Humans can selectively focus on different information based on different...
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Representation Learning on Variable Length and Incomplete Wearable-Sensory Time Series
The prevalence of wearable sensors (e.g., smart wristband) is enabling a...
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Shape-Aware Organ Segmentation by Predicting Signed Distance Maps
In this work, we propose to resolve the issue existing in current deep l...
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Few-Shot Knowledge Graph Completion
Knowledge graphs (KGs) serve as useful resources for various natural lan...
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Heterogeneous Deep Graph Infomax
Graph representation learning is to learn universal node representations...
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Graph Fourier Transform Based on ℓ_1 Norm Variation Minimization
The definition of the graph Fourier transform is a fundamental issue in ...
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ReachNN: Reachability Analysis of Neural-Network Controlled Systems
Applying neural networks as controllers in dynamical systems has shown g...
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Model predictive approach to integrated path planning and tracking for autonomous vehicles
In the path planning problem of autonomous application, the existing stu...
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Extreme Image Compression via Multiscale Autoencoders With Generative Adversarial Optimization
We propose a MultiScale AutoEncoder(MSAE) based extreme image compressio...
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Deep learning in bioinformatics: introduction, application, and perspective in big data era
Deep learning, which is especially formidable in handling big data, has ...
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Machine Friendly Machine Learning: Interpretation of Computed Tomography Without Image Reconstruction
Recent advancements in deep learning for automated image processing and ...
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Neural Tensor Factorization
Neural collaborative filtering (NCF) and recurrent recommender systems (...
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Transfer Adversarial Hashing for Hamming Space Retrieval
Hashing is widely applied to large-scale image retrieval due to the stor...
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Beyond Volume: The Impact of Complex Healthcare Data on the Machine Learning Pipeline
From medical charts to national census, healthcare has traditionally ope...
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