Learning models for detecting and classifying object categories is a challenging problem in machine vision. While discriminative approaches to learning and classification have, in...
To investigate whether more concise Natural Language feedback improves learning, we developed two Natural Language generators (DIAG-NLP1 and DIAG-NLP2), to provide feedback in an I...
Barbara Di Eugenio, Davide Fossati, Susan M. Halle...
In this paper we consider the task of matching patterns, as occur in hand-drawn symbols and schematic diagrams, by their parts and relationships. Of particular interest for comput...
Functional validation is a major bottleneck in the current SOC design methodology. While specification-based validation techniques have proposed several promising ideas, the time ...
This work presents several new techniques for enhancing the performance of deterministic test pattern generation for VLSI circuits. The techniques introduced are called dynamic de...
Chen Wang, Sudhakar M. Reddy, Irith Pomeranz, Xiji...