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2010 International Conference on Pattern Recognition Ranking Model for Facial Age Estimation

by Peng Yang, Lin Zhong, Dimitris Metaxas
"... Feature design and feature selection are two key problems in facial image based age perception. In this paper, we proposed to using ranking model to do feature selection on the haar-like features. In order to build the pairwise samples for the ranking model, age sequences are organized by personal a ..."
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Feature design and feature selection are two key problems in facial image based age perception. In this paper, we proposed to using ranking model to do feature selection on the haar-like features. In order to build the pairwise samples for the ranking model, age sequences are organized by personal

Topic-Sensitive PageRank

by Taher Haveliwala , 2002
"... In the original PageRank algorithm for improving the ranking of search-query results, a single PageRank vector is computed, using the link structure of the Web, to capture the relative "importance" of Web pages, independent of any particular search query. To yield more accurate search resu ..."
Abstract - Cited by 535 (10 self) - Add to MetaCart
In the original PageRank algorithm for improving the ranking of search-query results, a single PageRank vector is computed, using the link structure of the Web, to capture the relative "importance" of Web pages, independent of any particular search query. To yield more accurate search

Comprehensive database for facial expression analysis

by Takeo Kanade, Jeffrey F. Cohn, Yingli Tian - in Proceedings of Fourth IEEE International Conference on Automatic Face and Gesture Recognition
"... Within the past decade, significant effort has occurred in developing methods of facial expression analysis. Because most investigators have used relatively limited data sets, the generalizability of these various methods remains unknown. We describe the problem space for facial expression analysis, ..."
Abstract - Cited by 590 (54 self) - Add to MetaCart
Within the past decade, significant effort has occurred in developing methods of facial expression analysis. Because most investigators have used relatively limited data sets, the generalizability of these various methods remains unknown. We describe the problem space for facial expression analysis

Estimating Wealth Effects without Expenditure Data— or Tears

by Deon Filmer, Lant Pritchett - Policy Research Working Paper 1980, The World , 1998
"... Abstract: We use the National Family Health Survey (NFHS) data collected in Indian states in 1992 and 1993 to estimate the relationship between household wealth and the probability a child (aged 6 to 14) is enrolled in school. A methodological difficulty to overcome is that the NFHS, modeled closely ..."
Abstract - Cited by 832 (16 self) - Add to MetaCart
Abstract: We use the National Family Health Survey (NFHS) data collected in Indian states in 1992 and 1993 to estimate the relationship between household wealth and the probability a child (aged 6 to 14) is enrolled in school. A methodological difficulty to overcome is that the NFHS, modeled

Automatic Analysis of Facial Expressions: The State of the Art

by Maja Pantic, Leon J. M. Rothkrantz - IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE , 2000
"... ... This paper surveys the past work in solving these problems. The capability of the human visual system with respect to these problems is discussed, too. It is meant to serve as an ultimate goal and a guide for determining recommendations for development of an automatic facial expression analyze ..."
Abstract - Cited by 433 (18 self) - Add to MetaCart
... This paper surveys the past work in solving these problems. The capability of the human visual system with respect to these problems is discussed, too. It is meant to serve as an ultimate goal and a guide for determining recommendations for development of an automatic facial expression

Face Recognition Based on Fitting a 3D Morphable Model

by Volker Blanz, Thomas Vetter - IEEE Trans. Pattern Anal. Mach. Intell , 2003
"... Abstract—This paper presents a method for face recognition across variations in pose, ranging from frontal to profile views, and across a wide range of illuminations, including cast shadows and specular reflections. To account for these variations, the algorithm simulates the process of image format ..."
Abstract - Cited by 546 (19 self) - Add to MetaCart
formation in 3D space, using computer graphics, and it estimates 3D shape and texture of faces from single images. The estimate is achieved by fitting a statistical, morphable model of 3D faces to images. The model is learned from a set of textured 3D scans of heads. We describe the construction

Estimating nonresponse bias in mail surveys

by J. Scott Armstrong, Terry S. Overton, Marketing Scientist - Journal of Marketing Research , 1977
"... Valid predictions for the direction of nonresponse bias were obtained from subjective estimates and extrapolations in an analysis of mail survey data from published studies. For estimates of the magnitude of bias, the use of extrapolations led to substantial improvements over a strategy of not using ..."
Abstract - Cited by 877 (5 self) - Add to MetaCart
Valid predictions for the direction of nonresponse bias were obtained from subjective estimates and extrapolations in an analysis of mail survey data from published studies. For estimates of the magnitude of bias, the use of extrapolations led to substantial improvements over a strategy

Estimating the Support of a High-Dimensional Distribution

by Bernhard Schölkopf, John C. Platt, John Shawe-taylor, Alex J. Smola, Robert C. Williamson , 1999
"... Suppose you are given some dataset drawn from an underlying probability distribution P and you want to estimate a "simple" subset S of input space such that the probability that a test point drawn from P lies outside of S is bounded by some a priori specified between 0 and 1. We propo ..."
Abstract - Cited by 766 (29 self) - Add to MetaCart
Suppose you are given some dataset drawn from an underlying probability distribution P and you want to estimate a "simple" subset S of input space such that the probability that a test point drawn from P lies outside of S is bounded by some a priori specified between 0 and 1. We

How much should we trust differences-in-differences estimates? Quarterly Journal of Economics 119:249–75

by Marianne Bertrand, Esther Duflo, Sendhil Mullainathan, Abhijit Banerjee, Victor Chernozhukov, Michael Grossman, Jerry Hausman, Kei Hirano, Bo Honore , 2004
"... Most papers that employ Differences-in-Differences estimation (DD) use many years of data and focus on serially correlated outcomes but ignore that the resulting standard errors are incon-sistent. To illustrate the severity of this issue, we randomly generate placebo laws in state-level data on fema ..."
Abstract - Cited by 775 (1 self) - Add to MetaCart
Most papers that employ Differences-in-Differences estimation (DD) use many years of data and focus on serially correlated outcomes but ignore that the resulting standard errors are incon-sistent. To illustrate the severity of this issue, we randomly generate placebo laws in state-level data

A Simple, Fast, and Accurate Algorithm to Estimate Large Phylogenies by Maximum Likelihood

by Stéphane Guindon, Olivier Gascuel , 2003
"... The increase in the number of large data sets and the complexity of current probabilistic sequence evolution models necessitates fast and reliable phylogeny reconstruction methods. We describe a new approach, based on the maximumlikelihood principle, which clearly satisfies these requirements. The ..."
Abstract - Cited by 2109 (30 self) - Add to MetaCart
The increase in the number of large data sets and the complexity of current probabilistic sequence evolution models necessitates fast and reliable phylogeny reconstruction methods. We describe a new approach, based on the maximumlikelihood principle, which clearly satisfies these requirements
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