| 6 |
Effects of training with and without cultural adaptations to Latino caregivers of children with autism ...
|
|
|
|
BASE
|
|
Show details
|
|
|
| 7 |
Differentiating "Attachment Difficulties" From Autism Spectrum Disorders and Attention Deficit Hyperactivity Disorder: Qualitative Interviews With Experienced Health Care Professionals. ...
|
|
|
|
BASE
|
|
Show details
|
|
|
| 8 |
Effects of training with and without cultural adaptations to Latino caregivers of children with autism
|
|
|
|
BASE
|
|
Show details
|
|
|
| 9 |
Developmental social communication deficits in the Shank3 rat model of phelan-mcdermid syndrome and autism spectrum disorder.
|
|
|
|
In: Autism research : official journal of the International Society for Autism Research, vol 11, iss 4 (2018)
|
|
BASE
|
|
Show details
|
|
|
| 10 |
An interactional ‘live eye tracking’ study in autism spectrum disorder: combining qualitative and quantitative approaches in the study of gaze
|
|
|
|
In: Qualitative Research in Psychology (2017) (In press). (2017)
|
|
BASE
|
|
Show details
|
|
|
| 11 |
EFFECTS OF PARTICIPANT CONTROLLED VIDEO PROMPTING ON NOVEL TASKS IN A VOCATIONAL SETTING FOR ADULTS WITH AUTISM SPECTRUM DISORDER
|
|
|
|
In: Theses and Dissertations--Early Childhood, Special Education, and Counselor Education (2017)
|
|
BASE
|
|
Show details
|
|
|
| 12 |
Rare Inherited and De Novo CNVs Reveal Complex Contributions to ASD Risk in Multiplex Families.
|
|
|
|
In: American journal of human genetics, vol 99, iss 3 (2016)
|
|
BASE
|
|
Show details
|
|
|
| 13 |
Educating students with disabilities in Kenyan primary schools: instructional strategies and teacher preparation ...
|
|
|
|
BASE
|
|
Show details
|
|
|
| 14 |
Statistical learning in specific language impairment and Autism Spectrum Disorder: a meta-analysis
|
|
|
|
BASE
|
|
Show details
|
|
|
| 15 |
Autism in the classroom: a conversation-analytic study of lesson beginnings in special education
|
|
|
|
BASE
|
|
Show details
|
|
|
| 16 |
Phase distortion resulting in a just noticeable difference in the perceived quality of speech
|
|
|
|
BASE
|
|
Show details
|
|
|
| 17 |
Analysis of Features for Synthetic Aperture Radar Target Classification
|
|
|
|
In: DTIC (2015)
|
|
Abstract:
Considering two classes of vehicles, we aim to identify the physical elements of the vehicles with the most impact on identifying the class of the vehicle in synthetic aperture radar (SAR) images. We classify vehicles using features, from polarimetric SAR images, corresponding to the structure of physical elements. We demonstrate a method which determines the most impactful features to classification by applying subset selection on the features. Determination of the most impactful elements of the vehicles is beneficial to the development of low observables, target models, and automatic target recognition (ATR) algorithms. We show how previous work with features from individual pixels is applied to a greater number of target states. At a greater number of target states, the previous work has poor classification performance. Additionally, the nature of the features from pixels limits the identification of the most impactful elements of vehicles. We apply concepts from optical sensing to reduce the limitation on identification of physical elements. We draw from optical sensing feature extraction with the use of Histogram of Oriented Gradients (HOG). From the cells of HOG, we form features from frequency and polarization attributes of SAR images. Using a subset set of features, we achieve a classification performance of 96.10 percent correct classification. Using the features from HOG and the cells, we identify the features with the most impact. Using backward selection, a process for subset selection, we identify the features with the most impact to classification. The execution of backward selection removes the features which induce the most error ; The original document contains color images.
|
|
Keyword:
*FEATURE EXTRACTION; *SYNTHETIC APERTURE RADAR; *TARGET CLASSIFICATION; *TARGET RECOGNITION; Active & Passive Radar Detection & Equipment; AMPLITUDE; ATR(AUTOMATIC TARGET RECOGNITION); BACKWARD SELECTION; CELL METHOD; CFAR(CFAR CONSTANT FALSE ALARM RATE); Cybernetics; DISCRIMINANT ANALYSIS; ELECTRIC CONDUCTORS; FALSE ALARMS; FEATURE VECTOR; FREQUENCY; HIGH PERFORMANCE COMPUTING; HISTOGRAMS; HOG(HISTOGRAMS OF ORIENTED GRADIENTS); HPC(HIGH PERFORMANCE COMPUTING); LDA(LINEAR DISCRIMINANT ANALYSIS); PEC(PEC PERFECT ELECTRIC CONDUCTOR); PIXEL METHOD; PIXELS; POLARIZATION; Range and Position Finding; RVM(RELEVANCE VECTOR MACHINES); SALIENT FEATURE IDENTIFICATION; SAR(SYNTHETIC APERTURE RADAR); SPLIT(SPECTRUM PARTED LINKED IMAGE TEST); SUBSET SELECTION; SVM(SVM SUPPORT VECTOR MACHINE); Target Direction; THESES
|
|
URL: http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA614538
http://www.dtic.mil/docs/citations/ADA614538
|
|
BASE
|
|
Hide details
|
|
|
| 18 |
Comparison of Conversation and Narrative Language Abilities in Children with Autism: Diagnostic and Therapeutic Considerations
|
|
|
|
In: Theses and Dissertations (2015)
|
|
BASE
|
|
Show details
|
|
|
| 19 |
ЛИНГВОЦВЕТОВАЯ КАРТИНА МИРА ПРЕДСТАВИТЕЛЕЙ ФРАНЦУЗСКОЙ И РУССКОЙ КУЛЬТУР (НА ПРИМЕРЕ ФРАЗЕОЛОГИИ)
|
|
КУРГУЗЕНКОВА ЖАННА ВЯЧЕСЛАВОВНА. - : Федеральное государственное бюджетное образовательное учреждение высшего профессионального образования «Российский университет дружбы народов», 2014
|
|
BASE
|
|
Show details
|
|
|
| 20 |
Investigating the cross-cultural validity of DSM-5 autism spectrum disorder: Evidence from Finnish and UK samples.
|
|
|
|
In: Autism , 18 (1) 45-54 . (2014) (2014)
|
|
BASE
|
|
Show details
|
|
|
|
|
