Outlier Detection via Compositional Forward Search: Application to the Preliminary Data of the 2010 Italian Agricultural Census

Various types of technology are used for Terrestrial Mobile Mapping (TMM) such as IMU, cameras, odometers, laser scanner etc., which are integrated in order to determine the attitude and the position of the vehicle in use, especially in the absence of GNSS signal i.e. in an urban canyon. <br><br> The aim of this study is to use only photogrammetric measurements obtained with a low cost camera (with a reduced focal length and small frames) located on the vehicle, in order to improve the quality of TMM solution in the absence of a GNSS signal. It is essential to have good quality frames in order to solve this problem. In fact it is generally quite easy to extract a large number of common points between the frames (the so-called ‘tie points’), but this does not necessarily imply the goodness of the matching quality, which might be uncorrected due to the presence of obstacles that may occlude the camera sight. The Authors used two different methods for solving the problem of the presence of outliers: RANSAC and the Forward Search. <br><br> In this article the Authors show the results obtainable with good quality frames (frames without occlusions) and under difficult conditions that simulate better reality.

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Mixture Models in Forward Search Methods for Outlier Detection

Data Analysis, Machine Learning and Applications - Studies in Classification, Data Analysis, and Knowledge Organization ◽

10.1007/978-3-540-78246-9_13 ◽

2008 ◽

pp. 103-110 ◽

Cited By ~ 1

Author(s):

Daniela G. Calò

Keyword(s):

Mixture Models ◽

Outlier Detection ◽

Forward Search ◽

Search Methods

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An Introductory Examination of Speech Disfluencies in Spanish–English Bilingual Children Who Do and Do Not Stutter During Narratives

Perspectives of the ASHA Special Interest Groups ◽

10.1044/2019_persp-19-00040 ◽

2020 ◽

Vol 5 (1) ◽

pp. 131-141

Author(s):

Cristina Rincon ◽

Kia Noelle Johnson ◽

Courtney Byrd

Keyword(s):

Diagnostic Criteria ◽

Preliminary Data ◽

Diagnostic Information ◽

English Speakers ◽

Bilingual Children ◽

English Bilingual ◽

Developmental Stuttering ◽

Mean Length Of Utterance

Purpose The purpose of this study is to examine the frequency and type of speech disfluencies (stuttering-like and nonstuttering-like) in bilingual Spanish–English (SE) children who stutter (CWS) to SE children who do not stutter (CWNS) during narrative samples elicited in Spanish and English to provide further diagnostic information for this population and preliminary data toward an expansion of this study. Method Participants included six bilingual SE children (three CWS, three CWNS) ranging in age from 5 years to 7;5 (years;months) and recruited from the surrounding Houston, Texas area. Participants provided a narrative sample in English and Spanish. The frequency of speech disfluencies was tabulated, and mean length of utterance was measured for each sample. Results Results indicate that both talker groups exceed the diagnostic criteria typically used for developmental stuttering. Regardless of the language being spoken, CWS participants had a frequency of stuttering-like speech disfluencies that met or exceeded the diagnostic criteria for developmental stuttering that is based on monolingual English speakers. The CWNS participants varied in meeting the criteria depending on the language being spoken, with one of the three CWNS exceeding the criteria in both languages and one exceeding the criteria for percentage of stuttering-like speech disfluencies in one language. Conclusion Findings from this study contribute to the development of more appropriate diagnostic criteria for bilingual SE-speaking children to aid in the reduction of misdiagnoses of stuttering in this population.

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