Several published reports show that instancebased learning algorithms yield high classification accuracies and have low storage requirements during supervised learning application...
Developing a robust, flexible, closed-loop walking algorithm for a humanoid robot is a challenging task due to the complex dynamics of the general biped walk. Common analytical ap...
Massively multicore processors, like, for example, Graphics Processing Units (GPUs), provide, at a comparable price, a one order of magnitude higher peak performance than traditio...
Abdullah Gharaibeh, Samer Al-Kiswany, Sathish Gopa...
Abstract. Multiple-instance learning (MIL) allows for training classifiers from ambiguously labeled data. In computer vision, this learning paradigm has been recently used in many ...
Background: The most common application for the next-generation sequencing technologies is resequencing, where short reads from the genome of an individual are aligned to a refere...
Aakrosh Ratan, Yu Zhang, Vanessa M. Hayes, Stephan...