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An analysis of transformations

by G. E. P. Box, D. R. Cox - Journal of the Royal Statistical Society. Series B (Methodological , 1964
"... In the analysis of data it is often assumed that observations y,, y,,...,y, are independently normally distributed with constant variance and with expectations specified by a model linear in a set of parameters 0. In this paper we make the less restrictive assumption that such a normal, homoscedasti ..."
Abstract - Cited by 1067 (3 self) - Add to MetaCart
, homoscedastic, linear model is appropriate after some suitable transformation has been applied to the y's. Inferences about the transformation and about the parameters of the linear model are made by computing the likelihood function and the relevant posterior distribution. The contributions of normality

On the Use of Windows for Harmonic Analysis With the Discrete Fourier Transform

by Fredric J. Harris - Proc. IEEE , 1978
"... Ahmw-This Pw!r mak = available a concise review of data win- compromise consists of applying windows to the sampled daws pad the ^ affect On the Of in the data set, or equivalently, smoothing the spectral samples. '7 of aoise9 m the ptesence of sdroag bar- The two operations to which we subject ..."
Abstract - Cited by 668 (0 self) - Add to MetaCart
subject the data are momc mterference. We dm call attention to a number of common- = in be rp~crh of windows den used with the fd F ~- sampling and windowing. These operations can be performed transform. This paper includes a comprehensive catdog of data win- in either order. Sampling is well understood

Estimation of transformation parameters for microarray data

by Blythe Durbin, David M. Rocke - Bioinformatics , 2003
"... a family of transformations (the generalized-log family) which stabilizes the variance of microarray data up to the first order. We introduce a method for estimating the transformation parameter in tandem with a linear model based on the procedure outlined in Box and Cox (1964). We also discuss mean ..."
Abstract - Cited by 31 (6 self) - Add to MetaCart
a family of transformations (the generalized-log family) which stabilizes the variance of microarray data up to the first order. We introduce a method for estimating the transformation parameter in tandem with a linear model based on the procedure outlined in Box and Cox (1964). We also discuss

Integral Transform Parameter Estimation

by Martha Contreras , 1996
"... There are many reasons for considering estimation in a transformed version of a problem. In this paper we look at a class of compartment models, and see that it is possible to estimate the underlying param-eters more easily in a transformed problem. In particular, it is not necessary to know the for ..."
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There are many reasons for considering estimation in a transformed version of a problem. In this paper we look at a class of compartment models, and see that it is possible to estimate the underlying param-eters more easily in a transformed problem. In particular, it is not necessary to know

Distinctive Image Features from Scale-Invariant Keypoints

by David G. Lowe , 2003
"... This paper presents a method for extracting distinctive invariant features from images, which can be used to perform reliable matching between different images of an object or scene. The features are invariant to image scale and rotation, and are shown to provide robust matching across a a substa ..."
Abstract - Cited by 8955 (21 self) - Add to MetaCart
describes an approach to using these features for object recognition. The recognition proceeds by matching individual features to a database of features from known objects using a fast nearest-neighbor algorithm, followed by a Hough transform to identify clusters belonging to a single object

On the Correct Determination of Transformation Parameters of Horizontal Geodetic

by Petr Vaníček , Pavel Novák , Michael R Craymer , Spiros Pagiatakis - Datum,” Geomatica
"... Abstract In this contribution we formulate and solve the problem of determining transformation parameters in the transformation between a geodetic coordinate system (G-System) and the Conventional Terrestrial (geocentric) coordinate system (CT-system), or equivalently, between the datums associated ..."
Abstract - Cited by 2 (0 self) - Add to MetaCart
Abstract In this contribution we formulate and solve the problem of determining transformation parameters in the transformation between a geodetic coordinate system (G-System) and the Conventional Terrestrial (geocentric) coordinate system (CT-system), or equivalently, between the datums

Iterative Refinement of Transformation Parameters for Image Registration

by Jharna Majumdar
"... Image registration is an important process in high-level image interpretation systems developed for civilian and defense applications. Registration is carried out in two phases: namely feature extraction and feature correspondence. The basic building block of feature based image registration scheme ..."
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involves matching feature points that are extracted from a sensed image to their counter parts in the reference image. Features may be control points, corners, junctions or interest points. The objective of this study is to develop a methodology for iterative convergence of transformation parameters

A Parametric Texture Model based on Joint Statistics of Complex Wavelet Coefficients

by Javier Portilla, Eero P. Simoncelli - INTERNATIONAL JOURNAL OF COMPUTER VISION , 2000
"... We present a universal statistical model for texture images in the context of an overcomplete complex wavelet transform. The model is parameterized by a set of statistics computed on pairs of coefficients corresponding to basis functions at adjacent spatial locations, orientations, and scales. We de ..."
Abstract - Cited by 424 (13 self) - Add to MetaCart
We present a universal statistical model for texture images in the context of an overcomplete complex wavelet transform. The model is parameterized by a set of statistics computed on pairs of coefficients corresponding to basis functions at adjacent spatial locations, orientations, and scales. We

Derivation of Datum Transformation Parameters for Dubai Emirate

by Y. Al Marzooqi, H. Fashir, Syed Iliyas Ahmed, From Pharaohs To Geoinformatics, Y. Al Marzooqi, H. Fashir, Syed Iliyas Ahmed, United Arab Emirates, Y. Al Marzooqi, H. Fashir, Syed Iliyas Ahmed
"... A Detail study about the transformation of parameters between two spheroid CLARK1880 and WGS84 in Dubai Emirates was carried out. Due to the non-homogeneity of the control on the Clark1880, made this study interesting even in a small area. The huge common control on the both the datum was used. Orig ..."
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A Detail study about the transformation of parameters between two spheroid CLARK1880 and WGS84 in Dubai Emirates was carried out. Due to the non-homogeneity of the control on the Clark1880, made this study interesting even in a small area. The huge common control on the both the datum was used

Interface for Dynamic Modification of the Transformation Parameters of the PSOLA Algorithm

by Lyes Demri, Leila Falek, Hocine Teffahi
"... Abstract: The prosody of a speech signal is related to many factors: the social and geographical origin of the speaker, his or her emotional state, his physiological state (weariness, sickness, …) and the type of the sentence (interrogative, affirmative, etc.). A good synthesis or speech transformat ..."
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- and the formantic trajectories) using the PSOLA algorithm. The interface allows the user to manually introduce the desired trajectories of the transformation parameters of the PSOLA algorithm in order to produce a transformed signal which has the desired prosody. The results are acceptable, especially
Results 1 - 10 of 15,193