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[PDF] Top 20 Statistical methods for descriptor matching

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Statistical methods for descriptor matching

Statistical methods for descriptor matching

... Bounds for the maxima of random sums 37 C ONCLUSION OF THE CHAPTER In this chapter, we considered the problem of shift testing, motivated by possible applications in computer ...rigorous statistical model ... Voir le document complet

126

Implementing Rubin's Alternative Multiple Imputation Method for Statistical Matching in Stata

Implementing Rubin's Alternative Multiple Imputation Method for Statistical Matching in Stata

... Rubin’s statistical matching procedure with a unique partial correla- tion value (which is, given the purpose of statistical matching, unknown) is likely to produce inaccurate imputations if ... Voir le document complet

18

The Finite Sample Performance of Inference Methods for Propensity Score Matching and Weighting Estimators

The Finite Sample Performance of Inference Methods for Propensity Score Matching and Weighting Estimators

... Data For Switzerland and LI, data on confirmed COVID-19 infections as well as on COVID-19-related hospitaliza- tions and deaths are amalgamated by the Swiss Federal Office of Public Health (FOPH) and made ... Voir le document complet

19

Geometric and Statistical Methods for Processing 3D Anthropometric Data

Geometric and Statistical Methods for Processing 3D Anthropometric Data

... Ben Azouz et al. (2006) introduced an approach that is based on statistical learning. They used a subset of the CAESAR dataset as a training set. A graphical probabilistic model is used to model the positions of ... Voir le document complet

6

Multilevel Polygonal Descriptor Matching Defined By Combining Discrete Lines And Force Histogram Concepts

Multilevel Polygonal Descriptor Matching Defined By Combining Discrete Lines And Force Histogram Concepts

... contour. For line extraction, the Hough transform [12] has been widely ...Efficient methods were also defined to take into account noise and/or over-segmentation by refining the process at differ- ent ... Voir le document complet

14

The Balance-Sample Size Frontier in Matching Methods for Causal Inference

The Balance-Sample Size Frontier in Matching Methods for Causal Inference

... score matching to this literature, finding no effects of sex on judging in every one of 13 policy areas except for sex discrimination, which makes good sense ...argument for bringing “promising ... Voir le document complet

18

Geometric-visual descriptor for improved image based localization

Geometric-visual descriptor for improved image based localization

... direct matching or indirect methods. Direct methods directly match the features descrip- tors between the query image and the 3D ...Indirect methods are related to the content based image ... Voir le document complet

5

A Statistical Approach to the Matching of Local Features

A Statistical Approach to the Matching of Local Features

... simplest matching criterion, that we call DT (Distance Threshold), relies on a global threshold on ...[17] for each query descriptor, in order to limit multiple false detections that often affect ... Voir le document complet

14

Statistical Matching for Combining Time-Use Surveys with Consumer Expenditure Surveys: An Evaluation on Real Data

Statistical Matching for Combining Time-Use Surveys with Consumer Expenditure Surveys: An Evaluation on Real Data

... a statistical match to combine two surveys made over the same population by traditional methods is shown to give biased estimates and vari- ance of the imputed ...unobserved for any ... Voir le document complet

13

A robust local spectral descriptor for matching non-rigid shapes with incompatible shape structures

A robust local spectral descriptor for matching non-rigid shapes with incompatible shape structures

... cal descriptor for deformable 3D shapes with incompat- ible ...dataset for training and evaluation by extend- ing the widely used FAUST ...state-of-the-art methods on this ... Voir le document complet

11

Well-posedness of eight problems of multi-modal statistical image-matching

Well-posedness of eight problems of multi-modal statistical image-matching

... Well-posedness of eight problems of multi-modal statistical image-matching Olivier Faugeras , Gerardo Hermosillo Th`eme 3 — Interaction homme-machine, images, donn´ees, connaissances Pro[r] ... Voir le document complet

68

Matching for Teams

Matching for Teams

... procedure for solving the matching ...house, for instance, one has to hire (and pay) a wide variety of professionals (the architect) and tradesmen (the plumber, the mason), all of whom come in ... Voir le document complet

24

Musical genre descriptor for classification based on Tonnetz trajectories

Musical genre descriptor for classification based on Tonnetz trajectories

... In this paper, we present a novel approach without vo- cabulary restrictions on the chord material but rather an evaluation of the total harmonic content. Following Louis Bigo’s approach on trajectories in generic ... Voir le document complet

10

Kalman filtering and Riccati equations for descriptor systems

Kalman filtering and Riccati equations for descriptor systems

... L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignemen[r] ... Voir le document complet

30

Statistical methods for dementia risk prediction and recommendations for future work: A systematic review.

Statistical methods for dementia risk prediction and recommendations for future work: A systematic review.

... computational methods, which are able to find meaningful patterns in the data [9] , while using experience to improve and make pre- dictions [10] ...neuroimaging for cogni- tive impairment and dementia, ... Voir le document complet

8

A comparison of cost construction methods onto a C6678 platform for stereo matching

A comparison of cost construction methods onto a C6678 platform for stereo matching

... Experimentations are run on a computer with a CPU Intel I7-4770 @3.40GHz and on a C6678 Digital Signal Processor (DSP). To quantify the output quality, the Middlebury [3] evaluation tool and dataset are used. This paper ... Voir le document complet

8

Auditory group theory with applications to statistical basis methods for structured audio

Auditory group theory with applications to statistical basis methods for structured audio

... The fourth chapter introduces discrete-time signal processing techniques that enable efficient implementation of structured audio-event models. These models are obtained by e[r] ... Voir le document complet

172

Computational, statistical and graph-theoretical methods for disease mapping and cluster detection

Computational, statistical and graph-theoretical methods for disease mapping and cluster detection

... Our cluster detection method consists of three sequential tasks. A density-equalizing cartogram of the study region and disease cases is first constructed from a Vor[r] ... Voir le document complet

119

Blind marine seismic deconvolution using statistical MCMC methods

Blind marine seismic deconvolution using statistical MCMC methods

... deconvolution methods [2], [3] assumed that the reflectivity sequence was a white noise and that the wavelet was described by a deterministic ARMA ...parametric methods based on second-order statistics can ... Voir le document complet

12

Perturbation methods in evolutionary spectral analysis for linear dynamics and equivalent statistical linearization

Perturbation methods in evolutionary spectral analysis for linear dynamics and equivalent statistical linearization

... However, for perfectly decoupled systems, the matrix h ( ) t is diagonal and known in a closed-form, as it contains the IR function of each modal ...coordinate. For coupled systems, like non-classically ... Voir le document complet

17

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