5 papers
RAD: A Dataset and Benchmark for Real-Life Anomaly Detection with Robotic Observations
Kaichen Zhou, Xinhai Chang, Taewhan Kim +8
Anomaly detection is essential for robotic perception and industrial inspection, yet most benchmarks are collected under controlled conditions with fixed viewpoints and stable illu…
Mass Distribution versus Density Distribution in the Context of Clustering
Kai Ming Ting, Ye Zhu, Hang Zhang +1
This paper investigates two fundamental descriptors of data, i.e., density distribution versus mass distribution, in the context of clustering. Density distribution has been the de…
SCoNE: Spherical Consistent Neighborhoods Ensemble for Effective and Efficient Multi-View Anomaly Detection
Yang Xu, Hang Zhang, Yixiao Ma +2
The core problem in multi-view anomaly detection is to represent local neighborhoods of normal instances consistently across all views. Recent approaches consider a representation…
An Online Automatic Modulation Classification Scheme Based on Isolation Distributional Kernel
Xinpeng Li, Zile Jiang, Kai Ming Ting +1
Automatic Modulation Classification (AMC), as a crucial technique in modern non-cooperative communication networks, plays a key role in various civil and military applications. How…
Distributed Clustering based on Distributional Kernel
Hang Zhang, Yang Xu, Lei Gong +2
This paper introduces a new framework for clustering in a distributed network called Distributed Clustering based on Distributional Kernel (K) or KDC that produces the final cluste…