Results 21 to 30 of about 2,256,432 (315)
A Note on Superspirals of Confluent Type
Mathematics, 2020 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
doaj +1 more source
The hyperbolic geometry of financial networks
Scientific Reports, 2021 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
doaj +1 more source
Problems with Cosine as a Measure of Embedding Similarity for High Frequency Words [PDF]
Annual Meeting of the Association for Computational Linguistics, 2022 Cosine similarity of contextual embeddings is used in many NLP tasks (e.g., QA, IR, MT) and metrics (e.g., BERTScore). Here, we uncover systematic ways in which word similarities estimated by cosine over BERT embeddings are understated and trace this ...
Kaitlyn Zhou +3 more
semanticscholar +1 more source
Education Sciences, 2023 Helping learners to develop a solid grasp of geometric concepts poses a challenge for teachers. Therefore, it is important that teachers have a sound understanding of the geometry they teach.
Mduduzi Mbatha, Sarah Bansilal
doaj +1 more source
Geometry- and Accuracy-Preserving Random Forest Proximities [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 Random forests are considered one of the best out-of-the-box classification and regression algorithms due to their high level of predictive performance with relatively little tuning.
Jake S. Rhodes +2 more
semanticscholar +1 more source
The topology and geometry of neural representations [PDF]
Proceedings of the National Academy of Sciences of the United States of America, 2023 Significance Characterizing the representations encoded in patterns of neural activity is key to understanding brain computation. Representational similarity analysis uses the geometry of neural population response patterns to compare representations ...
Baihan Lin, N. Kriegeskorte
semanticscholar +1 more source
Improving neural implicit surfaces geometry with patch warping [PDF]
Computer Vision and Pattern Recognition, 2021 Neural implicit surfaces have become an important technique for multi-view 3D reconstruction but their accuracy remains limited. In this paper, we argue that this comes from the difficulty to learn and render high frequency textures with neural networks.
Franccois Darmon +4 more
semanticscholar +1 more source
Atmosphere, 2021 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
doaj +1 more source
SliceMatch: Geometry-Guided Aggregation for Cross-View Pose Estimation [PDF]
Computer Vision and Pattern Recognition, 2022 This work addresses cross-view camera pose estimation, i.e., determining the 3-Degrees-of-Freedom camera pose of a given ground-level image w.r.t. an aerial image of the local area.
Ted Lentsch +3 more
semanticscholar +1 more source
Geometry Optimization of Self‐Similar Transport Network [PDF]
Mathematical Problems in Engineering, 2011 We optimize geometries of various self‐similar transport networks using a three‐step strategy based on the entransy theory. Using this optimization method, we obtained optimal relationships of geometric parameters of T‐shape networks for fluid flow, heat conduction, convective heat transfer, and other transport phenomena.
X. D. Shan, M. Wang, Z. Y. Guo
openaire +1 more source