A new probabilistic image segmentation model based on hypothesis testing and Gibbs Random Fields is introduced. First, a probabilistic difference measure derived from a set of hyp...
Receiver Operating Characteristic (ROC) analysis enables fine-tuning of a trained classifier to a desired performance trade-off situation. ROC estimated from a finite test set is,...
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...
—Software-based self-test (SBST) is a promising new technology for at-speed testing of embedded processors in SoC systems. This paper introduces an effective and efficient new ho...
This paper proposes a number of improvements to existing work in off line video object segmentation. Object color and motion variance, and histogram-based merging are used to impr...