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New Evidence on the Interest Rate Effects of Budget Deficits and Debt
 JOURNAL OF THE EUROPEAN ECONOMIC ASSOCIATION
, 2009
"... Estimating the effects of government debt and deficits on Treasury yields is complicated from the effects of the business cycle, and associated monetary policy actions, on debt, deficits, and interest rates, this paper studies the relationship between longhorizon expected government debt and defici ..."
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Cited by 182 (1 self)
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and deficits, measured by CBO and OMB projections, and expected future longterm interest rates. The estimated effects of government debt and deficits on interest rates are statistically and economically significant: a one percentage point increase in the projected deficittoGDP ratio is estimated to raise
A NEW POLYNOMIALTIME ALGORITHM FOR LINEAR PROGRAMMING
 COMBINATORICA
, 1984
"... We present a new polynomialtime algorithm for linear programming. In the worst case, the algorithm requires O(tf'SL) arithmetic operations on O(L) bit numbers, where n is the number of variables and L is the number of bits in the input. The running,time of this algorithm is better than the ell ..."
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Cited by 860 (3 self)
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the ellipsoid algorithm by a factor of O(n~'~). We prove that given a polytope P and a strictly interior point a E P, there is a projective transformation of the space that maps P, a to P', a ' having the following property. The ratio of the radius of the smallest sphere with center a
Why Do Companies Go Public?  An Empirical Analysis
 Journal of Finance
, 1997
"... This paper analyzes the determinants of initial public offerings (IPOs) in Italy. We compare the ex ante and the ex post characteristics of IPOs with those of a large sample of privately held companies. The likelihood of an IPO is positively related to the company's size and the industry's ..."
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Cited by 314 (14 self)
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's markettobook ratio. Companies appear to go public not to finance future investments and growth, but rather to rebalance their accounts after a period of high investment and growth. IPOs are also followed by a reduction in the cost of credit and an increased turnover in control. These findings highlight
The Fundamental matrix: theory, algorithms, and stability analysis
 International Journal of Computer Vision
, 1995
"... In this paper we analyze in some detail the geometry of a pair of cameras, i.e. a stereo rig. Contrarily to what has been done in the past and is still done currently, for example in stereo or motion analysis, we do not assume that the intrinsic parameters of the cameras are known (coordinates of th ..."
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Cited by 272 (13 self)
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of the principal points, pixels aspect ratio and focal lengths). This is important for two reasons. First, it is more realistic in applications where these parameters may vary according to the task (active vision). Second, the general case considered here, captures all the relevant information that is necessary
The LOCOI Lossless Image Compression Algorithm: Principles and Standardization into JPEGLS
 IEEE TRANSACTIONS ON IMAGE PROCESSING
, 2000
"... LOCOI (LOw COmplexity LOssless COmpression for Images) is the algorithm at the core of the new ISO/ITU standard for lossless and nearlossless compression of continuoustone images, JPEGLS. It is conceived as a "low complexity projection" of the universal context modeling paradigm, match ..."
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Cited by 253 (11 self)
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LOCOI (LOw COmplexity LOssless COmpression for Images) is the algorithm at the core of the new ISO/ITU standard for lossless and nearlossless compression of continuoustone images, JPEGLS. It is conceived as a "low complexity projection" of the universal context modeling paradigm
Hyperspectral image classification and dimensionality reduction: an orthogonal subspace projection approach
 IEEE Transactions on Geoscience and Remote Sensing
, 1994
"... AbstructMost applications of hyperspectral imagery require processing techniques which achieve two fundamental goals: 1) detect and classify the constituent materials for each pixel in the scene; 2) reduce the data volumeldimensionality, without loss of critical information, so that it can be proc ..."
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Cited by 187 (16 self)
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pixel vector onto a subspace which is orthogonal to the undesired signatures. This operation is an optimal interference suppression process in the least squares sense. Once the interfering signatures have been nulled, projecting the residual onto the signature of interest maximizes the signalto
Pose estimation from corresponding point data
 IEEE Transactions on Systems, Man and Cybernetics
, 1989
"... AbstracrSolutions for four different pose estimation problems are presented. Closed form leastsquares solutions are given to the over constrained ZDZD and 3D3D pose estimation problems. A globally convergent iterative technique is given for the 2D perspective projection3D pose estimation ..."
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Cited by 199 (2 self)
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problem. A simplified linear solution and a robust solution to the 2D perspective projectionZD perspective projection pose estimation problem are also given. Simulation experiments consisting of millions of hia ls having varying numbers of pairs of corresponding points, varying signal to noise ratio
A local update strategy for iterative reconstruction from projections
 IEEE Tr. Sig. Proc
, 1993
"... Iterative methods for statisticallybased reconstruction from projections are computationally costly relative to convolution backprojection, but allow useful image reconstruction from sparse and noisy data. We present a method for Bayesian reconstruction which relies on updates of single pixel value ..."
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Cited by 153 (34 self)
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estimates at much lower signaltonoise ratios than required for continuously valued reconstruction. This paper includes analysis of the convergence properties of gradient ascent and GS for reconstruction from integral projections, and simulations of both maximumlikelihood and maximum a posteriori cases.
Model evaluation guidelines for systematic quantification of accuracy in watershed simulations
, 2007
"... Watershed models are powerful tools for simulating the effect of watershed processes and management on soil and water resources. However, no comprehensive guidance is available to facilitate model evaluation in terms of the accuracy of simulated data compared to measured flow and constituent values ..."
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Cited by 179 (8 self)
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values. Thus, the objectives of this research were to: (1) determine recommended model evaluation techniques (statistical and graphical), (2) review reported ranges of values and corresponding performance ratings for the recommended statistics, and (3) establish guidelines for model evaluation based
Trends in Wide Area IP Traffic Patterns  A View from Ames Internet Exchange
"... We report results from a longitudinal analysis of the IP traffic workload seen at a single measurement site inside a major Internet traffic exchange point. Using data collected by the NLANR/MOAT Network Analysis Infrastructure (NAI) project [NAI] and analysis software from CAIDA's CoralReef pro ..."
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Cited by 169 (2 self)
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We report results from a longitudinal analysis of the IP traffic workload seen at a single measurement site inside a major Internet traffic exchange point. Using data collected by the NLANR/MOAT Network Analysis Infrastructure (NAI) project [NAI] and analysis software from CAIDA's Coral
Results 1  10
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