Search Results for author:
Found 13 papers, 7 papers with code
The Application of ChatGPT in Responding to Questions Related to the Boston Bowel Preparation Scale
This study aims to assess the accuracy and consistency of ChatGPT in using the Boston Bowel Preparation Scale (BBPS) for colonoscopy assessment.
Proprioceptive Learning with Soft Polyhedral Networks
Proprioception is the "sixth sense" that detects limb postures with motor neurons.
Autoencoding a Soft Touch to Learn Grasping from On-land to Underwater
Robots play a critical role as the physical agent of human operators in exploring the ocean.
An enhanced motion planning approach by integrating driving heterogeneity and long-term trajectory prediction for automated driving systems
Navigating automated driving systems (ADSs) through complex driving environments is difficult.
Traffic Analytics Development Kits (TADK): Enable Real-Time AI Inference in Networking Apps
Sophisticated traffic analytics, such as the encrypted traffic analytics and unknown malware detection, emphasizes the need for advanced methods to analyze the network traffic.
Fully Linear Graph Convolutional Networks for Semi-Supervised Learning and Clustering
This paper presents FLGC, a simple yet effective fully linear graph convolutional network for semi-supervised and unsupervised learning.
Large-Scale Hyperspectral Image Clustering Using Contrastive Learning
Specifically, we exploit a symmetric twin neural network comprised of a projection head with a dimensionality of the cluster number to conduct dual contrastive learning from a spectral-spatial augmentation pool.
Weighted Ensemble-model and Network Analysis: A method to predict fluid intelligence via naturalistic functional connectivity
Methods: In this study, inspired by multi-layer brain network structure, we propose a new method namely Weighted Ensemble-model and Network Analysis, which combines the machine learning and graph theory for improved fluid intelligence prediction.
DeepClaw: A Robotic Hardware Benchmarking Platform for Learning Object Manipulation
We present benchmarking results of the DeepClaw system for a baseline Tic-Tac-Toe task, a bin-clearing task, and a jigsaw puzzle task using three sets of standard robotic hardware.
Robotics
Graph Convolutional Subspace Clustering: A Robust Subspace Clustering Framework for Hyperspectral Image
In this paper, we revisit the subspace clustering with graph convolution and present a novel subspace clustering framework called Graph Convolutional Subspace Clustering (GCSC) for robust HSI clustering.
Rigid-Soft Interactive Learning for Robust Grasping
We use soft, stuffed toys for training, instead of everyday objects, to reduce the integration complexity and computational burden and exploit such rigid-soft interaction by changing the gripper fingers to the soft ones when dealing with rigid, daily-life items such as the Yale-CMU-Berkeley (YCB) objects.
Multi-PCA based Fault Detection Model Combined with Prior knowledge of HVAC
The traditional PCA fault detection methods completely depend on the training data.
BS-Nets: An End-to-End Framework For Band Selection of Hyperspectral Image
The framework consists of a band attention module (BAM), which aims to explicitly model the nonlinear inter-dependencies between spectral bands, and a reconstruction network (RecNet), which is used to restore the original HSI cube from the learned informative bands, resulting in a flexible architecture.
