One of the fundamental assumptions in traditional sampling theorems is that the signals to be sampled come from a single vector space (e.g. bandlimited functions). However, in many...
This paper addresses the inference of probabilistic classification models using weakly supervised learning. In contrast to previous work, the use of proportion-based training data...
Carla Scalarin, Jacques Masse, Jean-Marc Boucher, ...
Testing of database applications is of great importance. Although various studies have been conducted to investigate testing techniques for database design, relatively few efforts ...
An autonomous mobile robot must be able to combine uncertain sensory information with prior knowledge of the world. Moreover, these operations have to be performed fast enough for...
Ultrasonic computed tomography (UCT) is one of the methods capable of tissue characterization. It is expected to provide not only a quantitative image but also diagnostic informat...