標(biāo)題: Titlebook: Geometric Science of Information; 6th International Co Frank Nielsen,Frédéric Barbaresco Conference proceedings 2023 The Editor(s) (if appl [打印本頁] 作者: concord 時間: 2025-3-21 16:07
書目名稱Geometric Science of Information影響因子(影響力)
書目名稱Geometric Science of Information影響因子(影響力)學(xué)科排名
書目名稱Geometric Science of Information網(wǎng)絡(luò)公開度
書目名稱Geometric Science of Information網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Geometric Science of Information被引頻次
書目名稱Geometric Science of Information被引頻次學(xué)科排名
書目名稱Geometric Science of Information年度引用
書目名稱Geometric Science of Information年度引用學(xué)科排名
書目名稱Geometric Science of Information讀者反饋
書目名稱Geometric Science of Information讀者反饋學(xué)科排名
作者: 積習(xí)已深 時間: 2025-3-21 20:27
Geometric Science of Information978-3-031-38271-0Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: 逢迎春日 時間: 2025-3-22 03:51
Elaine Walker PhD,Karen M. Hochman MD3D curves in the visual scene as a sub-Riemannian structure. Horizontal curves in this setting express good continuation principles in 3D. Starting from the equation of neural activity we apply harmonic analysis techniques in the sub-Riemannian structure to solve the correspondence problem and find 3D percepts.作者: BROTH 時間: 2025-3-22 05:42 作者: paragon 時間: 2025-3-22 11:41
https://doi.org/10.1007/978-3-642-74816-5 high-dimensional optimization problems on directed distances (divergences), under very non-restrictive (e.g. non-convex) constraints. Such a task can be comfortably achieved by the new . method of [., .]. In the present paper, we give some new insightful details on one cornerstone of this approach.作者: vector 時間: 2025-3-22 14:56 作者: vector 時間: 2025-3-22 19:51 作者: 終止 時間: 2025-3-23 00:23 作者: acclimate 時間: 2025-3-23 04:36 作者: Meditate 時間: 2025-3-23 09:06 作者: 使聲音降低 時間: 2025-3-23 11:35
https://doi.org/10.1007/978-981-13-7006-9tive of the way these shapes are parameterized. However for analysis of these shape spaces, it is sometimes useful to have a parameterization at hand, in particular if one is interested in deforming shapes. The purpose of the paper is to examine three different methods that one can follow to endow s作者: 禁止 時間: 2025-3-23 15:40 作者: 非實體 時間: 2025-3-23 20:04
Are Games a Viable Home Numeracy Practice?, algorithms in shape optimization are often based on techniques from differential geometry. Challenges arise when an application demands a non-smooth shape, which is commonly-encountered as an optimal shape for fluid-mechanical problems. In order to avoid the restriction to infinitely-smooth shapes 作者: 大炮 時間: 2025-3-23 23:21
Re-theorising Play as Pedagogical,tance, the arc-length parameterization is canonical, but we consider other natural parameterizations like the parameterization proportional to the curvature of the curve. Both aforementionned parameterizations are very natural and correspond to a natural physical movement: the arc-length parameteriz作者: drusen 時間: 2025-3-24 05:57
Final Reflections: Emerging Policy Issues,ifolds of nonlinear flags, i.e. nested submanifolds of a fixed type. The gauge invariant elastic metric on the shape space of surfaces involves the mean curvature and the normal deformation, i.e. the sum and the difference of the principal curvatures .. The proposed gauge invariant elastic metrics o作者: 終端 時間: 2025-3-24 06:36
Elaine Walker PhD,Karen M. Hochman MD3D curves in the visual scene as a sub-Riemannian structure. Horizontal curves in this setting express good continuation principles in 3D. Starting from the equation of neural activity we apply harmonic analysis techniques in the sub-Riemannian structure to solve the correspondence problem and find 作者: Adenocarcinoma 時間: 2025-3-24 14:21
A European Debate about Colbert,ving HJB-PDEs on lifted homogeneous spaces such as the homogeneous space of 2D positions and orientations isomorphic to .. PDE-G-CNNs generalize G-CNNs and are provably equivariant to actions of the roto-translation group .(2). Moreover, PDE-G-CNNs automate geometric image processing via orientation作者: 你正派 時間: 2025-3-24 15:24
Shilpa Kusampudi,Nagarjun Kondurusentations. The equivariant encoder/decoder ensures that these latents are geometrically meaningful and grounded in the input space. Mapping these geometry-.grounded latents to hyperspheres allows us to interpret them as points in a Kendall shape space. This paper extends the recent . paradigm by Va作者: CLAY 時間: 2025-3-24 21:57 作者: saturated-fat 時間: 2025-3-25 03:07 作者: Tartar 時間: 2025-3-25 04:49
https://doi.org/10.1007/978-3-642-74816-5 high-dimensional optimization problems on directed distances (divergences), under very non-restrictive (e.g. non-convex) constraints. Such a task can be comfortably achieved by the new . method of [., .]. In the present paper, we give some new insightful details on one cornerstone of this approach.作者: fodlder 時間: 2025-3-25 10:16 作者: Corroborate 時間: 2025-3-25 14:04
Héctor M. Manrique,Michael J. Walkerconfidence regions and tests for the parameter of interest, by means of minimizing empirical divergences between the considered models and the Kaplan-Meier empirical measure. This approach leads to a new natural adaptation of the empirical likelihood method to the present context of right censored d作者: 換話題 時間: 2025-3-25 17:04
https://doi.org/10.1007/978-1-4615-9215-0o a nuisance parameter in the description of the model. The supremal approach based on the dual representation of CASM divergences (or .divergences) is fruitful; it leads to M-estimators with simple and standard limit distribution, and it is versatile with respect to the choice of the divergence. Du作者: 外來 時間: 2025-3-25 23:08
https://doi.org/10.1007/978-94-011-6296-8-arithmetic centers. We study the invariance and equivariance properties of quasi-arithmetic centers from the viewpoint of the Fenchel-Young canonical divergences. Second, we consider statistical quasi-arithmetic mixtures and define generalizations of the Jensen-Shannon divergence according to geode作者: 可用 時間: 2025-3-26 01:40
https://doi.org/10.1007/978-3-031-38271-0Information theory; Information geometry; Thermodynamics; Machine learning; Riemannian geometry; Lie grou作者: fledged 時間: 2025-3-26 05:16 作者: 隱士 時間: 2025-3-26 10:17
Riemannian Locally Linear Embedding with?Application to?Kendall Shape Spaceseen designed to learn the intrinsic structure of a set of points of a Euclidean space lying close to some submanifold. In this paper, we propose to generalise the method to manifold-valued data, that is a set of points lying close to some submanifold of a given manifold in which the points are model作者: Monotonous 時間: 2025-3-26 14:18
A Product Shape Manifold Approach for Optimizing Piecewise-Smooth Shapes algorithms in shape optimization are often based on techniques from differential geometry. Challenges arise when an application demands a non-smooth shape, which is commonly-encountered as an optimal shape for fluid-mechanical problems. In order to avoid the restriction to infinitely-smooth shapes 作者: Suppository 時間: 2025-3-26 20:48 作者: 哺乳動物 時間: 2025-3-26 22:52 作者: 假裝是你 時間: 2025-3-27 01:37
A Neurogeometric Stereo Model for?Individuation of?3D Perceptual Units3D curves in the visual scene as a sub-Riemannian structure. Horizontal curves in this setting express good continuation principles in 3D. Starting from the equation of neural activity we apply harmonic analysis techniques in the sub-Riemannian structure to solve the correspondence problem and find 作者: GUMP 時間: 2025-3-27 08:15
Functional Properties of?PDE-Based Group Equivariant Convolutional Neural Networksving HJB-PDEs on lifted homogeneous spaces such as the homogeneous space of 2D positions and orientations isomorphic to .. PDE-G-CNNs generalize G-CNNs and are provably equivariant to actions of the roto-translation group .(2). Moreover, PDE-G-CNNs automate geometric image processing via orientation作者: HALL 時間: 2025-3-27 13:19
Continuous Kendall Shape Variational Autoencoderssentations. The equivariant encoder/decoder ensures that these latents are geometrically meaningful and grounded in the input space. Mapping these geometry-.grounded latents to hyperspheres allows us to interpret them as points in a Kendall shape space. This paper extends the recent . paradigm by Va作者: FOR 時間: 2025-3-27 14:07
Can Generalised Divergences Help for?Invariant Neural Networks?uring training of convolutional neural networks. Experiments on supervised classification of images at different scales not considered during training illustrate that our proposed method performs better than classical data augmentation.作者: UTTER 時間: 2025-3-27 19:28
Group Equivariant Sparse Coding a group-equivariant convolutional layer with internal recurrent connections that implement sparse coding through neural population attractor dynamics, consistent with the architecture of visual cortex. The layers can be stacked hierarchically by introducing recurrent connections between them. The h作者: 拖債 時間: 2025-3-27 23:58
On a?Cornerstone of?Bare-Simulation Distance/Divergence Optimization high-dimensional optimization problems on directed distances (divergences), under very non-restrictive (e.g. non-convex) constraints. Such a task can be comfortably achieved by the new . method of [., .]. In the present paper, we give some new insightful details on one cornerstone of this approach.作者: muffler 時間: 2025-3-28 04:49
Extensive Entropy Functionals and?Non-ergodic Random Walksasymptotically) proportional to .". According to whether the focus is on the system or on the entropy, an entropy is extensive for a given system or a system is extensive for a given entropy. Yet, exhibiting the right classes of random sequences that are extensive for the right entropy is far from b作者: surrogate 時間: 2025-3-28 06:46
Empirical Likelihood with?Censored Dataconfidence regions and tests for the parameter of interest, by means of minimizing empirical divergences between the considered models and the Kaplan-Meier empirical measure. This approach leads to a new natural adaptation of the empirical likelihood method to the present context of right censored d作者: RADE 時間: 2025-3-28 11:47 作者: backdrop 時間: 2025-3-28 15:08
Quasi-arithmetic Centers, Quasi-arithmetic Mixtures, and?the?Jensen-Shannon ,-Divergences-arithmetic centers. We study the invariance and equivariance properties of quasi-arithmetic centers from the viewpoint of the Fenchel-Young canonical divergences. Second, we consider statistical quasi-arithmetic mixtures and define generalizations of the Jensen-Shannon divergence according to geode作者: ANTI 時間: 2025-3-28 21:01
Re-theorising Play as Pedagogical,terization of 2D-curves, which gives an optimal sampling, and which can be used to compare unparameterized curves in an efficient and pertinent way. An application to point correspondence in medical imaging is given.作者: 優(yōu)雅 時間: 2025-3-29 01:02
https://doi.org/10.1007/978-1-4615-9215-0hallenging problem since the corresponding model is non-regular particularly because of the true parameter lying on the boundary of the parameter space. This range of problems has been considered by many authors who tried to derive the asymptotic distribution of some statistic under boundary conditi作者: Coronary 時間: 2025-3-29 06:42 作者: Ointment 時間: 2025-3-29 09:44
Aggregated Tests Based on?Supremal Divergence Estimators for?Non-regular Statistical Modelshallenging problem since the corresponding model is non-regular particularly because of the true parameter lying on the boundary of the parameter space. This range of problems has been considered by many authors who tried to derive the asymptotic distribution of some statistic under boundary conditi作者: ITCH 時間: 2025-3-29 14:41
0302-9743 France, during August 30-September 1, 2023...The 125 full papers presented in this volume were carefully reviewed and selected from 161 submissions. They cover all the main topics and highlights in the domain of geometric science of information, including information geometry manifolds of structured作者: trigger 時間: 2025-3-29 16:24
Conceptualizing and Setting the Stage,neralise the method to manifold-valued data, that is a set of points lying close to some submanifold of a given manifold in which the points are modelled. We demonstrate our algorithm on some examples in Kendall shape spaces.作者: indemnify 時間: 2025-3-29 23:33
Eukaryotes: Plastidial Symbioses, system is extensive for a given entropy. Yet, exhibiting the right classes of random sequences that are extensive for the right entropy is far from being trivial, and is mostly a new area for generalized entropies. This paper aims at giving some examples or classes of random walks that are extensive for Tsallis entropy.作者: languid 時間: 2025-3-30 01:42
Riemannian Locally Linear Embedding with?Application to?Kendall Shape Spacesneralise the method to manifold-valued data, that is a set of points lying close to some submanifold of a given manifold in which the points are modelled. We demonstrate our algorithm on some examples in Kendall shape spaces.作者: 濕潤 時間: 2025-3-30 07:58
Extensive Entropy Functionals and?Non-ergodic Random Walks system is extensive for a given entropy. Yet, exhibiting the right classes of random sequences that are extensive for the right entropy is far from being trivial, and is mostly a new area for generalized entropies. This paper aims at giving some examples or classes of random walks that are extensive for Tsallis entropy.作者: Stable-Angina 時間: 2025-3-30 11:49 作者: SPURN 時間: 2025-3-30 12:35
Final Reflections: Emerging Policy Issues,eodesic torsion ...More precisely, we show that, with the help of the Euclidean metric, the tangent space at . can be identified with . and the gauge invariant elastic metrics form a 6-parameter family: .where ..作者: 攤位 時間: 2025-3-30 19:22 作者: 忘恩負義的人 時間: 2025-3-30 22:22
Shape Spaces of?Nonlinear Flagseodesic torsion ...More precisely, we show that, with the help of the Euclidean metric, the tangent space at . can be identified with . and the gauge invariant elastic metrics form a 6-parameter family: .where ..作者: crease 時間: 2025-3-31 01:28 作者: 沉著 時間: 2025-3-31 06:15
Shilpa Kusampudi,Nagarjun Kondurudgama et al. by providing a general definition of Kendall shapes in terms of group representations to allow for more flexible modeling of KS-VAEs. We show that learning with generalized Kendall shapes, instead of landmark-based shapes, improves representation capacity.作者: esoteric 時間: 2025-3-31 12:59
https://doi.org/10.1007/978-1-349-04949-3ierarchical structure enables rich bottom-up and top-down information flows, hypothesized to underlie the visual system’s ability for perceptual inference. The model’s equivariant representations are demonstrated on time-varying visual scenes.作者: 吸氣 時間: 2025-3-31 15:05
