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Multiresolution Analysis of Arbitrary Meshes

by Matthias Eck , Tony DeRose, Tom Duchamp, Hugues Hoppe, Michael Lounsbery, Werner Stuetzle , 1995
"... In computer graphics and geometric modeling, shapes are often represented by triangular meshes. With the advent of laser scanning systems, meshes of extreme complexity are rapidly becoming commonplace. Such meshes are notoriously expensive to store, transmit, render, and are awkward to edit. Multire ..."
Abstract - Cited by 605 (16 self) - Add to MetaCart
in practice typically do not meet this requirement. In this paper we present a method for overcoming the subdivision connectivity restriction, meaning that completely arbitrary meshes can now be converted to multiresolution form. The method is based on the approximation of an arbitrary initial mesh M by a

Positive psychology: An introduction

by Martin E. P. Seligman, Mihaly Csikszentmihalyi - American Psychologist , 2000
"... ..."
Abstract - Cited by 655 (4 self) - Add to MetaCart
Abstract not found

Multiresolution Analysis for Surfaces Of Arbitrary . . .

by Tony D. DeRose, Michael Lounsbery, Joe Warren , 1993
"... Multiresolution analysis provides a useful and efficient tool for representing shape and analyzing features at multiple levels of detail. Although the technique has met with considerable success when applied to univariate functions, images, and more generally to functions defined on lR , to our k ..."
Abstract - Cited by 390 (3 self) - Add to MetaCart
knowledge it has not been extended to functions defined on surfaces of arbitrary genus. In this

Optimal Tests When a Nuisance Parameter Is Present Only under the Alternative

by Donald W. K. Andrews, Werner Ploberger , 1992
"... ..."
Abstract - Cited by 604 (11 self) - Add to MetaCart
Abstract not found

Cointegration and Tests of Present Value Models

by John Y. Campbell, Robert J. Shiller , 1986
"... ..."
Abstract - Cited by 525 (9 self) - Add to MetaCart
Abstract not found

Convex Position Estimation in Wireless Sensor Networks

by Lance Doherty , Kristofer S. J. Pister , Laurent El Ghaoui
"... A method for estimating unknown node positions in a sensor network based exclusively on connectivity-induced constraints is described. Known peer-to-peer communication in the network is modeled as a set of geometric constraints on the node positions. The global solution of a feasibility problem fo ..."
Abstract - Cited by 491 (0 self) - Add to MetaCart
A method for estimating unknown node positions in a sensor network based exclusively on connectivity-induced constraints is described. Known peer-to-peer communication in the network is modeled as a set of geometric constraints on the node positions. The global solution of a feasibility problem

Making the most of statistical analyses: Improving interpretation and presentation

by Gary King, Michael Tomz, Jason Wittenberg - American Journal of Political Science , 2000
"... Social scientists rarely take full advantage of the information available in their statistical results. As a consequence, they miss opportunities to present quantities that are of greatest substantive interest for their research and express the appropriate degree of certainty about these quantities. ..."
Abstract - Cited by 550 (24 self) - Add to MetaCart
Social scientists rarely take full advantage of the information available in their statistical results. As a consequence, they miss opportunities to present quantities that are of greatest substantive interest for their research and express the appropriate degree of certainty about these quantities

An Efficient Routing Protocol for Wireless Networks

by Shree Murthy, J. J. Garcia-Luna-Aceves , 1996
"... We present ..."
Abstract - Cited by 533 (15 self) - Add to MetaCart
We present

A Positive Theory of Monetary Policy in a Natural-Rate Model." Working Paper no. 807

by J. Barro, David B. Gordon, Robert J. Barro, David B. Gordon , 1981
"... you have obtained prior permission, you may not download an entire issue of a journal or multiple copies of articles, and you may use content in the JSTOR archive only for your personal, non-commercial use. Please contact the publisher regarding any further use of this work. Publisher contact inform ..."
Abstract - Cited by 1008 (4 self) - Add to MetaCart
you have obtained prior permission, you may not download an entire issue of a journal or multiple copies of articles, and you may use content in the JSTOR archive only for your personal, non-commercial use. Please contact the publisher regarding any further use of this work. Publisher contact information may be obtained at

Maximum entropy markov models for information extraction and segmentation

by Andrew Mccallum, Dayne Freitag , 2000
"... Hidden Markov models (HMMs) are a powerful probabilistic tool for modeling sequential data, and have been applied with success to many text-related tasks, such as part-of-speech tagging, text segmentation and information extraction. In these cases, the observations are usually modeled as multinomial ..."
Abstract - Cited by 554 (18 self) - Add to MetaCart
as multinomial distributions over a discrete vocabulary, and the HMM parameters are set to maximize the likelihood of the observations. This paper presents a new Markovian sequence model, closely related to HMMs, that allows observations to be represented as arbitrary overlapping features (such as word
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