Across states, there is little correlation between a state’s marriage rate or cohabitation and own population. Within positive (no) (cohabitation) its population growth rate. The Cobb-Douglas matching function (CDMMF), which extends the Choo-Siow MMF to include peer effects, can rationalize these correlations. model easy estimate. CDMMF estimated using panel data across US states from 1990 2010...

In this paper we address the problem ofmatching two images with two different resolutions: a high-resolution image and a low-resolution one. The difference in resolution between the two images is not known and without loss of generality one of the images is assumed to be the high-resolution one. On the premise that changes in resolution act as a smoothing equivalent to changes in scale, a scale...

In this paper we propose a novel approach to binocular stereo for fast matching of high-resolution images. Our approach builds a prior on the disparities by forming a triangulation on a set of support points which can be robustly matched, reducing the matching ambiguities of the remaining points. This allows for efficient exploitation of the disparity search space, yielding accurate dense recon...

The difficult problem of Entity Matching (EM), i.e., determining whether different mentions of an entity refer to the same realworld object, has recently attracted a lot of attention from the Machine Learning (ML) research community. State-of-the-art solutions for EM are based on recent advances in ML, such as firstorder probabilistic models (e.g., Markov and Bayesian networks) and advanced pro...