9 citations · 15 across the 4 of their papers we have counts for
4 papers
ANMS: Asynchronous Non-Maximum Suppression in Event Stream
Qianang Zhou, JunLin Xiong, Youfu Li
The non-maximum suppression (NMS) is widely used in frame-based tasks as an essential post-processing algorithm. However, event-based NMS either has high computational complexity o…
Demonstration of LogicLib: An Expressive Multi-Language Interface over Scalable Datalog System
Mingda Li, Jin Wang, Guorui Xiao +2
With the ever-increasing volume of data, there is an urgent need to provide expressive and efficient tools to support Big Data analytics. The declarative logical language Datalog h…
Monotonic Properties of Completed Aggregates in Recursive Queries
Carlo Zaniolo, Ariyam Das, Jiaqi Gu +3
The use of aggregates in recursion enables efficient and scalable support for a wide range of BigData algorithms, including those used in graph applications, KDD applications, and…
BigData Applications from Graph Analytics to Machine Learning by Aggregates in Recursion
Ariyam Das, Youfu Li, Jin Wang +2
In the past, the semantic issues raised by the non-monotonic nature of aggregates often prevented their use in the recursive statements of logic programs and deductive databases. H…