This paper proposes two alternative formulations to reduce the high computational complexity of tensor voting, a robust perceptual grouping technique used to extract salient information from noisy data. The first scheme consists of numerical approxi
This report, nearly two years later, documents in detail the extent of the problem and the steps we must take in the coming years to address it. Over the past 10 months, the Brennan Center surveyed more than 100 specialists familiar with voting tech
