Structural perception of data plays a fundamental role in pattern analysis and machine learning. In this paper, we develop a new structural perception of data based on local conte...
Abstract. Clusters of loosely connected machines are becoming an important model for commercial computing. The cost/performance ratio makes these scale-out solutions an attractive ...
Robert W. Wisniewski, Reza Azimi, Mathieu Desnoyer...
– We address the problem of knee pathology assessment by using screw theory to describe the knee motion and by using the screw representation of the motion as an input to a machi...
SimPoint is a technique used to pick what parts of the program’s execution to simulate in order to have a complete picture of execution. SimPoint uses data clustering algorithms...
While there is a large class
of Multiple-Target Tracking (MTT) problems for which batch
processing is possible and desirable, batch MTT remains relatively
unexplored in comparis...