Detecting database records that are approximate duplicates, but not exact duplicates, is an important task. Databases may contain duplicate records concerning the same real-world ...
: In many computer vision classification problems, both the error and time characterizes the quality of a decision. We show that such problems can be formalized in the framework of...
Abstract. Most of the work in machine learning assume that examples are generated at random according to some stationary probability distribution. In this work we study the problem...
We propose a non-intrusive methodology for concurrent fault detection in FSMs. The proposed method is similar to duplication, wherein a replica of the circuit acts as a predictor ...
We discuss a non-intrusive methodology for concurrent fault detection in random combinational logic. The proposed method is similar to duplication, wherein a replica of the circui...