We consider the template matching problem, in which one wants to find all good enough occurrences of a pattern template P from a larger image I. The current standard of template m...
This paper preliminarily reports the robotic system working inside the gantry of vertical field Open MRI. This manipulator is new in terms of the application to vertical field Open...
Active selection of good training examples is an important approach to reducing data-collection costs in machine learning; however, most existing methods focus on maximizing classi...
Prem Melville, Stewart M. Yang, Maytal Saar-Tsecha...
We show that for 8 real and varied C and C++ programs, several conventional dynamic storage allocators provide nearzero fragmentation, once we account for overheads due to impleme...
We propose a novel method for approximate inference in Bayesian networks (BNs). The idea is to sample data from a BN, learn a latent tree model (LTM) from the data offline, and wh...