An important theoretical tool in machine learning is the bias/variance decomposition of the generalization error. It was introduced for the mean square error in [3]. The bias/vari...
Self-adjusting computation is an evaluation model in which programs can respond efficiently to small changes to their input data by using a change-propagation mechanism that updat...
Bug reproduction is critically important for diagnosing a production-run failure. Unfortunately, reproducing a concurrency bug on multi-processors (e.g., multi-core) is challengin...
Soyeon Park, Yuanyuan Zhou, Weiwei Xiong, Zuoning ...
We propose a 2D registration method for multi-modal image sequences of the retinal fundus, and a 3D metric reconstruction of near planar surface from multiple views. There are two...
Although the world-wide-web (WWW) has significantly enhanced open-source software (OSS) development, it has also created new challenges for quality assurance (QA), especially for...