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نتیجه جستجو - متغیرهای نهفته

تعداد مقالات یافته شده: 2
ردیف عنوان نوع
1 An algorithm for learning shape and appearance models without annotations
الگوریتمی برای یادگیری مدل های شکل و ظاهر بدون حاشیه نویسی-2019
This paper presents a framework for automatically learning shape and appearance models for medical (and certain other) images. The algorithm was developed with the aim of eventually enabling distributed privacy-preserving analysis of brain image data, such that shared information (shape and appearance ba- sis functions) may be passed across sites, whereas latent variables that encode individual images remain secure within each site. These latent variables are proposed as features for privacy-preserving data mining applications. The approach is demonstrated qualitatively on the KDEF dataset of 2D face images, showing that it can align images that traditionally require shape and appearance models trained using manually annotated data (manually defined landmarks etc.). It is applied to the MNIST dataset of handwritten digits to show its potential for machine learning applications, particularly when training data is limited. The model is able to handle “missing data”, which allows it to be cross-validated according to how well it can predict left-out voxels. The suitability of the derived features for classifying individuals into patient groups was assessed by applying it to a dataset of over 1900 segmented T1-weighted MR images, which included images from the COBRE and ABIDE datasets
Keywords: Machine learning | Latent variables | Diffeomorphisms | Geodesic shooting | Shape model | Appearance model
مقاله انگلیسی
2 Towards an end of measurement misspecification in tourism research: Grammar of theoretical constructs, focus of thought and mind traps
به سوی یک انتها برای معیارهای نامناسب سنجش در تحقیقات گردشگری: دستور زبان سازه های تئوریکی، تمرکز اندیشه و تله های ذهنی-2018
This article introduces a new perspective on theoretical constructs to help minimizing confusion regarding measurement mode choice in tourism research. In particular, this article uses the grammatical structure of theoretical constructs as contextual framework to explain various mind traps that may mislead proper measurement specification. On the one hand, it is argued that awareness about the precise grammatical structure of constructs may help the researcher to keep the initial focus of thought, which, in turn, helps to avoid reflective versus formative misspecification when modeling theoretical constructs. On the other hand, it is further argued that some constructs, in fact, leave the realm of psychological assessments, which is why a direct reflective approach no longer applies. The suggested guidelines are rather simple, but may help clarifying several misconceptions and misunderstandings regarding formative versus reflective measurement specification for a range of popular tourism constructs.
keywords: Construct measurement |Specification |Latent variables |Reflective |Formative |Composite attributes |SEM
مقاله انگلیسی
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