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A Degradation Performance Model With Mixed-type Covariates and Latent Heterogeneity
Successful modeling of degradation performance data is essential for acc...
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A Latent Survival Analysis Enabled Simulation Platform For Nursing Home Staffing Strategy Evaluation
Nursing homes are critical facilities for caring frail older adults with...
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Studying Politeness across Cultures Using English Twitter and Mandarin Weibo
Modeling politeness across cultures helps to improve intercultural commu...
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From A Glance to "Gotcha": Interactive Facial Image Retrieval with Progressive Relevance Feedback
Facial image retrieval plays a significant role in forensic investigatio...
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Interpretable Foreground Object Search As Knowledge Distillation
This paper proposes a knowledge distillation method for foreground objec...
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SEKD: Self-Evolving Keypoint Detection and Description
Researchers have attempted utilizing deep neural network (DNN) to learn ...
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Kinematics Based Visual Localization for Skid-Steering Robots: Algorithm and Theory
In recent years, the volume of the commercial mobile robot market has be...
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Semi-supervised deep learning for high-dimensional uncertainty quantification
Conventional uncertainty quantification methods usually lacks the capabi...
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Accelerating Neural Network Inference by Overflow Aware Quantization
The inherent heavy computation of deep neural networks prevents their wi...
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MonoPair: Monocular 3D Object Detection Using Pairwise Spatial Relationships
Monocular 3D object detection is an essential component in autonomous dr...
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LE-HGR: A Lightweight and Efficient RGB-based Online Gesture Recognition Network for Embedded AR Devices
Online hand gesture recognition (HGR) techniques are essential in augmen...
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Sequential Selection for Accelerated Life Testing via Approximate Bayesian Inference
Accelerated life testing (ALT) is typically used to assess the reliabili...
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Visual-Inertial Localization for Skid-Steering Robots with Kinematic Constraints
While visual localization or SLAM has witnessed great progress in past d...
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A Lightweight and Accurate Localization Algorithm Using Multiple Inertial Measurement Units
In this paper, a lightweight and accurate localization algorithm is prop...
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Localization for Ground Robots: On Manifold Representation, Integration, Re-Parameterization, and Optimization
In this paper, we focus on localizing ground robots, by probabilisticall...
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Seq-SG2SL: Inferring Semantic Layout from Scene Graph Through Sequence to Sequence Learning
Generating semantic layout from scene graph is a crucial intermediate ta...
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Learning Local Feature Descriptor with Motion Attribute for Vision-based Localization
In recent years, camera-based localization has been widely used for robo...
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Studying Cultural Differences in Emoji Usage across the East and the West
Global acceptance of Emojis suggests a cross-cultural, normative use of ...
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2D LiDAR Map Prediction via Estimating Motion Flow with GRU
It is a significant problem to predict the 2D LiDAR map at next moment f...
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Observability-aware Self-Calibration of Visual and Inertial Sensors for Ego-Motion Estimation
External effects such as shocks and temperature variations affect the ca...
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Cutting Away the Confusion From Crowdtesting
Crowdtesting is effective especially when it comes to the feedback on GU...
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