Burst detection is the activity of finding abnormal aggregates in data streams. Such aggregates are based on sliding windows over data streams. In some applications, we want to mo...
With the aim to design a general learning framework for detecting faces of various poses or under different lighting conditions, we are motivated to formulate the task as a classi...
In this work, we propose an unsupervised Bayesian model for the detection of moving objects from dynamic scenes. This unsupervised solution is a three-step approach that uses a st...
We present a novel approach to detect multiscale keypoints using the Dual Tree Complex Wavelet Transform (DTCWT). We show that it is a well-suited basis for this problem as it is ...
To defeat current commercial antivirus software, the virus developers are employing obfuscation techniques to create mutating viruses. The current antivirus software cannot handle...