We introduce a regularized kernel-based rule for unsupervised change detection based on a simpler version of the recently proposed kernel Fisher discriminant ratio. Compared to ot...
We present a sequential Monte Carlo method applied to additive noise compensation for robust speech recognition in time-varying noise. The method generates a set of samples accord...
A major challenge of the anti-virus (AV) industry is how to effectively process the huge influx of malware samples they receive every day. One possible solution to this problem i...
Network attacks often employ scanning to locate vulnerable hosts and services. Fast and accurate detection of local scanners is key to containing an epidemic in its early stage. Ex...
This paper proposes a novel Texture Pattern Flow (TPF) for complex background modeling and motion detection. The Pattern Flow is proposed to encode the binary pattern changes amon...