3 citations · 7 across the 5 of their papers we have counts for
4 papers
DIOT: Detecting Implicit Obstacles from Trajectories
Yifan Lei, Qiang Huang, Mohan Kankanhalli +1
In this paper, we study a new data mining problem of obstacle detection from trajectory data. Intuitively, given two kinds of trajectories, i.e., reference and query trajectories,…
Unsupervised Abstract Reasoning for Raven's Problem Matrices
Tao Zhuo, Qiang Huang, Mohan Kankanhalli
Raven's Progressive Matrices (RPM) is highly correlated with human intelligence, and it has been widely used to measure the abstract reasoning ability of humans. In this paper, to…
A Generic Distributed Clustering Framework for Massive Data
Pingyi Luo, Qiang Huang, Anthony K. H. Tung
In this paper, we introduce a novel Generic distributEd clustEring frameworK (GEEK) beyond -means clustering to process massive amounts of data. To deal with different data type…
Locality-Sensitive Hashing Scheme based on Longest Circular Co-Substring
Yifan Lei, Qiang Huang, Mohan Kankanhalli +1
Locality-Sensitive Hashing (LSH) is one of the most popular methods for -Approximate Nearest Neighbor Search (-ANNS) in high-dimensional spaces. In this paper, we propose a n…