Negative selection algorithms are immune-inspired classifiers that are trained on negative examples only. Classification is performed by generating detectors that match none of ...
Most encryption algorithms are designed without regard to their performance on top-of-the-line microprocessors. This paper discusses general optimization principles algorithms desi...
We introduce the concept of “residual investigation” for program analysis. A residual investigation is a dynamic check installed as a result of running a static analysis that ...
Kaituo Li, Christoph Reichenbach, Christoph Csalln...
In many applications of graphical models arising in computer vision, the hidden variables of interest are most naturally specified by continuous, non-Gaussian distributions. There...
Erik B. Sudderth, Alexander T. Ihler, William T. F...
This paper presents geometric invariants of points and their applications under central catadioptric camera model. Although the image has severe distortions under the model, we es...