A novel method for crowd flow modeling and anomaly detection is proposed for both coherent and incoherent scenes. The novelty is revealed in three aspects. First, it is a unique ut...
Abstract—We describe a novel application of using data mining and statistical learning methods to automatically monitor and detect abnormal execution traces from console logs in ...
Wei Xu, Ling Huang, Armando Fox, David Patterson, ...
Background: Single nucleotide polymorphisms (SNPs) are important tools in studying complex genetic traits and genome evolution. Computational strategies for SNP discovery make use...
Jifeng Tang, Ben Vosman, Roeland E. Voorrips, C. G...
Abstract--In this paper, we present the design, the implementation details, and the evaluation results of an intrusion detection and defense system for distributed denial-of-servic...
Eric Y. K. Chan, H. W. Chan, K. M. Chan, Vivien P....
The automatic detection of near duplicate video segments, such as multiple takes of a scene or different news video clips showing the same event, has received growing research int...