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The topic of similarity plays an essential role in developing students’ deductive reasoning. However, knowing how to teach similarity and understanding how to incorporate deductive reasoning and proof along with plane geometry remain a challenge to both ...
Qiao-Ping Zhang, Ngai-Ying Wong
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The studies on the worked-out examples teaching approach (WOETA) have been investigated globally and in South Africa, showing gains in learners' performance. This study reports on the Euclidean geometry short learning programme (EGSLP), which used worked-
Msebenzi Rabaza, Joleen Hamilton
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Measure of Similarity between GMMs Based on Geometry-Aware Dimensionality Reduction
Gaussian Mixture Models (GMMs) are used in many traditional expert systems and modern artificial intelligence tasks such as automatic speech recognition, image recognition and retrieval, pattern recognition, speaker recognition and verification ...
Branislav Popović +4 more
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A Note on Superspirals of Confluent Type
Superspirals include a very broad family of monotonic curvature curves, whose radius of curvature is defined by a completely monotonic Gauss hypergeometric function.
Jun-ichi Inoguchi +2 more
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The hyperbolic geometry of financial networks
Based on data from the European banking stress tests of 2014, 2016 and the transparency exercise of 2018 we construct networks of European banks and demonstrate that the latent geometry of these financial networks can be well-represented by geometry of ...
Martin Keller-Ressel, Stephanie Nargang
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Similarity of operators and geometry of eigenvector bundles [PDF]
18 ...
Kwon, Hyun-Kyoung, Treil, Sergei
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The reparameterization of the geometry-free and geometry-based approaches to derive single-site ionospheric delays using Global Navigation Satellite System (GNSS) measurements is described.
Sijing Liu +4 more
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Analysing Textbook Treatment of Similarity in Plane Geometry
This study presents a specific analysis of the treatment of the topic “similarity” by several college textbooks, in this case six Indonesian textbooks. The choice of this mathematical topic is justified by the fact that it requires in the activity of the
Dyana Wijayanti
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Geometry of Similarity Comparisons
Many data analysis problems can be cast as distance geometry problems in \emph{space forms} -- Euclidean, spherical, or hyperbolic spaces. Often, absolute distance measurements are often unreliable or simply unavailable and only proxies to absolute distances in the form of similarities are available.
Tabaghi, Puoya +3 more
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Probabilistic Principal Geodesic Deep Metric Learning
Similarity learning which is useful for the purpose of comparing various characteristics of images in the computer vision field has been often applied for deep metric learning (DML).
Dae Ha Kim, Byung Cheol Song
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