We describe and analyze an algorithmic framework for online classification where each online trial consists of multiple prediction tasks that are tied together. We tackle the prob...
Non-negative spectrogram factorization algorithms such as probabilistic latent component analysis (PLCA) have been shown to be quite powerful for source separation. When training d...
The availability of quantitative online benchmarks for
low-level vision tasks such as stereo and optical flow has led
to significant progress in the respective fields. This paper...
Christoph Rhemann (Vienna University of Technology...
This paper describes an online learning based method to detect flames in video by processing the data generated by an ordinary camera monitoring a scene. Our fire detection method...
We have built a system for protecting Internet services to securely connected, known users. It implements a generate-and-test approach for on-line attack identification and uses s...
James C. Reynolds, James E. Just, Larry A. Clough,...