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Many classes of applications are inherently tolerant to errors. One such class are applications designed for a human end user, where the capabilities of the human cognitive system (cognitive resilience) may compensate some of the errors produced by the application. We present a methodology to automatically distinguish between tolerable errors in imaging(More)
Practical on-line test methods do not cover all possible faults of a system. We propose a method to identify critical faults and distinguish them from non-critical ones. Low-cost on-line fault detection can focus on the critical faults. Alternatively, the circuit sites associated with critical faults could be selectively hardened to improve the overall(More)
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