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Prices and unit labor costs: A new test of price stickiness
, 1999
"... This paper investigates the predictions of a simple optimizing model of nominal price rigidity for the aggregate price level and the dynamics of inflation. I compare the model’s predictions with those of a perfectly competitive, flexible price ‘benchmark’ model (corresponding to the model of pricing ..."
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Cited by 356 (11 self)
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of pricing assumed in standard real business cycle models), and evaluate how much the introduction of nominal rigidities improves the model’s fit with the data. The model’s predictions are derived using only the firms optimal pricing problem; taking as given the paths of nominal labor compensation, labor
Consumption Over the Life Cycle
 Econometrica
, 1995
"... This paper employs a synthetic cohort technique and Consumer Expenditure Survey data to construct average ageprofiles of consumption and income over the working lives of typical households across different education and occupation groups. Even after controlling for family and cohort effects, ty ..."
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Cited by 357 (17 self)
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, typical consumption profiles are not flat, and seem to track income at young ages. Using these profiles, we estimate a structural model of optimal lifecycle consumption expenditures in the presence of realistic income uncertainty. The model fits the profiles quite well. In addition to providing tight
When Networks Disagree: Ensemble Methods for Hybrid Neural Networks
, 1993
"... This paper presents a general theoretical framework for ensemble methods of constructing significantly improved regression estimates. Given a population of regression estimators, we construct a hybrid estimator which is as good or better in the MSE sense than any estimator in the population. We argu ..."
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Cited by 349 (3 self)
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argue that the ensemble method presented has several properties: 1) It efficiently uses all the networks of a population  none of the networks need be discarded. 2) It efficiently uses all the available data for training without overfitting. 3) It inherently performs regularization by smoothing
Seam carving for contentaware image resizing
 ACM Trans. Graph
, 2007
"... Figure 1: A seam is a connected path of low energy pixels in an image. On the left is the original image with one horizontal and one vertical seam. In the middle the energy function used in this example is shown (the magnitude of the gradient), along with the vertical and horizontal path maps used t ..."
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Cited by 323 (11 self)
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. Effective resizing of images should not only use geometric constraints, but consider the image content as well. We present a simple image operator called seam carving that supports contentaware image resizing for both reduction and expansion. A seam is an optimal 8connected path of pixels on a single
The ventriloquist effect results from nearoptimal bimodal integration
 Curr. Biol
, 2004
"... Results for the various unimodal location discriminations for naive observer L.M. are shown in Figure 1A. The curves plot the proportion of trials in which the second stimulus was seen to the left of the first, as a function of actual physical displacement. Following standard practice, the data were ..."
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Cited by 277 (13 self)
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were fitted with cumulative Gaussian functions free to vary in position and width: the position of the median (50 % leftward) is termed the point of subjective equality (PSE), and the width � 3Department of Psychology represents the estimate of localization accuracy (preUniversity of Florence sumed
Optimal paths for a car that goes both forwards and backwards
 PACIFIC JOURNAL OF MATHEMATICS
, 1990
"... The path taken by a car with a given minimum turning radius has a lower bound on its radius of curvature at each point, but the path has cusps if the car shifts into or out of reverse gear. What is the shortest such path a car can travel between two points if its starting and ending directions are s ..."
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Cited by 279 (0 self)
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give these paths by explicit formula. Calculating the length of each of these paths and selecting the (not necessarily unique) path with smallest length yields a simple algorithm for a shortest path in each case. These optimal paths or geodesies may be described as follows: If C is an arc of a circle
LETTER Communicated by Laurence Abbott Computing the Optimally Fitted Spike Train for a Synapse
"... Experimental data have shown that synapses are heterogeneous: different synapses respond with different sequences of amplitudes of postsynaptic responses to the same spike train. Neither the role of synaptic dynamics itself nor the role of the heterogeneity of synaptic dynamics for computations in ..."
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tations in neural circuits is well understood. We present in this article two computational methods that make it feasible to compute for a given synapse with known synaptic parameters the spike train that is optimally fitted to the synapse in a certain sense. With the help of these methods, one can compute
The State of Record Linkage and Current Research Problems
 Statistical Research Division, U.S. Census Bureau
, 1999
"... This paper provides an overview of methods and systems developed for record linkage. Modern record linkage begins with the pioneering work of Newcombe and is especially based on the formal mathematical model of Fellegi and Sunter. In their seminal work, Fellegi and Sunter introduced many powerful id ..."
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Cited by 303 (8 self)
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fitting, string comparison, optimization RsSUMs Cet article donne une vue d'ensemble sur les ...
Piecewise smooth surface reconstruction
, 1994
"... We present a general method for automatic reconstruction of accurate, concise, piecewise smooth surface models from scattered range data. The method can be used in a variety of applications such as reverse engineering — the automatic generation of CAD models from physical objects. Novel aspects of t ..."
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Cited by 303 (13 self)
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of this paper, is the introduction of a new class of piecewise smooth surface representations based on subdivision. These surfaces have a number of properties that make them ideal for use in surface reconstruction: they are simple to implement, they can model sharp features concisely, and they can be fit
The Space of Human Body Shapes: Reconstruction And Parameterization from Range Scans
 ACM TRANS. GRAPH
, 2003
"... We develop a novel method for fitting highresolution template meshes to detailed human body range scans with sparse 3D markers. We formulate an optimization problem in which the degrees of freedom are an affine transformation at each template vertex. The objective function is a weighted combination ..."
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Cited by 290 (4 self)
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We develop a novel method for fitting highresolution template meshes to detailed human body range scans with sparse 3D markers. We formulate an optimization problem in which the degrees of freedom are an affine transformation at each template vertex. The objective function is a weighted
Results 21  30
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