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[PDF] Top 20 A Statistical Approach to the Matching of Local Features

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A Statistical Approach to the Matching of Local Features

A Statistical Approach to the Matching of Local Features

... which a is also the nearest neighbor of b. More specific matching criteria with geometric constraints have been proposed (see ...but to the best of our knowledge, no ... Voir le document complet

14

Local features for RGBD image matching under viewpoint changes

Local features for RGBD image matching under viewpoint changes

... allows to compute the adaptive local axes from the depth map in a computationally efficient way and robustly to the ...an approach for corner detection in images. ... Voir le document complet

151

The Impact of Imbalanced training Data on Local matching learning of ontologie

The Impact of Imbalanced training Data on Local matching learning of ontologie

... In the training phase, the machine learning algorithm learns the matching settings from a training ...from the reference alignments of the same matching ... Voir le document complet

13

Statistical Physics Approach to the Optimal Transport Problem

Statistical Physics Approach to the Optimal Transport Problem

... illustrate the use of our framework. We used the publicly available Japanese Female Facial Expression (JAFFE) database [17,18] ...images of facial expressions posed by 10 Japanese female ... Voir le document complet

7

Local matching learning of large scale biomedical ontologies

Local matching learning of large scale biomedical ontologies

... In the classification phase, the generated classifier is applied over the input ontologies to classify the entity pairs of the input ontologies (matches or ...built ... Voir le document complet

114

TRISK: A local features extraction framework for texture-plus-depth content matching

TRISK: A local features extraction framework for texture-plus-depth content matching

... and the descriptor patterns in the local axes in the camera plane, which turns out to be computationally more ...presents a technique allowing more repeatable and distinctive ... Voir le document complet

44

The Impact of Imbalanced training Data on Local matching learning of ontologie

The Impact of Imbalanced training Data on Local matching learning of ontologie

... In the training phase, the machine learning algorithm learns the matching settings from a training ...from the reference alignments of the same matching ... Voir le document complet

14

A statistical learning approach to infer transmissions of infectious diseases from deep sequencing data

A statistical learning approach to infer transmissions of infectious diseases from deep sequencing data

... consideration the loss and gain of virus variants during within-host evolution and their loss during between-host ...built a sort of regression function parameterised by an evolutionary ... Voir le document complet

30

A Reflexive and Automated Approach to Syntactic Pattern Matching in Code Transformations

A Reflexive and Automated Approach to Syntactic Pattern Matching in Code Transformations

... ARSING A PPROACH : AN EXAMPLE A. Pattern matching using Reflexive Parsing in parser gener- ators A key component of our approach is the use of a parser gen- ... Voir le document complet

12

A new approach to the modelling of local defects in crystals: the reduced Hartree-Fock case

A new approach to the modelling of local defects in crystals: the reduced Hartree-Fock case

... with the derivation and the mathematical study of a new mean-field model for the description of interacting electrons in crystals with local ...with a reduced ... Voir le document complet

42

STUDYING THE REACTIVITY OF URACIL IN THE GAS PHASE:  STATISTICAL vs. NON-STATISTICAL APPROACH

STUDYING THE REACTIVITY OF URACIL IN THE GAS PHASE: STATISTICAL vs. NON-STATISTICAL APPROACH

... STUDYING THE REACTIVITY OF URACIL IN THE GAS PHASE: STATISTICAL ...NON-STATISTICAL APPROACH E. ROSSICH MOLINA a,b , J.-Y. SALPIN a,b , ...SPEZIA a,b and E. ... Voir le document complet

2

A Hybrid Approach to Identifying the Most Predictive and Discriminant Features in Supervised Classification Problems

A Hybrid Approach to Identifying the Most Predictive and Discriminant Features in Supervised Classification Problems

... discriminant features in a dataset. The notions of “predictiveness” and “discriminativeness” of features are rarely discussed in the literature so we will first introduce ... Voir le document complet

9

Statistical approach to the optimisation of the technical analysis trading tools: trading bands strategies

Statistical approach to the optimisation of the technical analysis trading tools: trading bands strategies

... approaches to define the function can be ...proposes to change the system of coordinates from time- to volume ...based. The new curve will have “prolonged” price values ... Voir le document complet

283

Robust estimation of local affine maps and its applications to image matching

Robust estimation of local affine maps and its applications to image matching

... motivated the development of image comparison methods based on local descriptors that are as affine invariant as ...possible. The problem of constructing affine invariant image ... Voir le document complet

14

Local approach applied to the fracture toughness of resistance spot welds

Local approach applied to the fracture toughness of resistance spot welds

... Keywords Local approach, Brittle to ductile transition, High strength steels, Resistance spot welds ...Introduction The need for car-lightening has led to the development ... Voir le document complet

11

A convex programming approach for color stereo matching

A convex programming approach for color stereo matching

... due to the fact that the components of {L (k) } k may, simultaneously, ...Thus, to convert this problem to a well-posed one, it is useful to incorporate additional ... Voir le document complet

7

A Loewner-based Approach for the Approximation of Engagement-related Neurophysiological Features

A Loewner-based Approach for the Approximation of Engagement-related Neurophysiological Features

... For engagement monitoring, the classical features used are power spectral densities in specific frequency bands extracted from EEG data.. These features are either used directly as indic[r] ... Voir le document complet

5

AN IMPROVED APPROXIMATION FOR ASSESSING THE STATISTICAL SIGNIFICANCE OF MOLECULAR SEQUENCE FEATURES

AN IMPROVED APPROXIMATION FOR ASSESSING THE STATISTICAL SIGNIFICANCE OF MOLECULAR SEQUENCE FEATURES

... formula to assess the statistical significance of sequence ...Using the random walk theory, we establish (see Proposition 1) the exact distribution of the maximum ... Voir le document complet

21

A Local Search Approach to Observation Planning with Multiple UAVs

A Local Search Approach to Observation Planning with Multiple UAVs

... Unfortunately, the very reason that makes fixed-wing UAVs appealing for such tasks also renders a full automa- tion ...With a typical airspeed of 50 km/h even small and widely available ... Voir le document complet

10

A Bayesian network approach to model local dependencies among SNPs

A Bayesian network approach to model local dependencies among SNPs

... investigate a method to model linkage disequi- librium among SNPs (Single Nucleotide Polymorphisms) in the ...genome. The genetic data such as SNPs is characterized by a typical ... Voir le document complet

5

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