標(biāo)題: Titlebook: Computational Information Geometry; For Image and Signal Frank Nielsen,Frank Critchley,Christopher T. J. Do Book 2017 Springer Internationa [打印本頁] 作者: Harrison 時(shí)間: 2025-3-21 16:15
書目名稱Computational Information Geometry影響因子(影響力)
書目名稱Computational Information Geometry影響因子(影響力)學(xué)科排名
書目名稱Computational Information Geometry網(wǎng)絡(luò)公開度
書目名稱Computational Information Geometry網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Computational Information Geometry被引頻次
書目名稱Computational Information Geometry被引頻次學(xué)科排名
書目名稱Computational Information Geometry年度引用
書目名稱Computational Information Geometry年度引用學(xué)科排名
書目名稱Computational Information Geometry讀者反饋
書目名稱Computational Information Geometry讀者反饋學(xué)科排名
作者: 輕浮女 時(shí)間: 2025-3-21 23:58 作者: 耕種 時(shí)間: 2025-3-22 03:05
On the Geometric Interplay Between Goodness-of-Fit and Estimation: Illustrative Examples,e. A geometric analysis of simple, yet representative, models involving the same population parameter compellingly establishes the main theme of the paper: namely, that goodness-of-fit is necessary but not sufficient for model selection. Visual examples vividly communicate this. Specifically, for a 作者: 沒花的是打擾 時(shí)間: 2025-3-22 04:46 作者: 稀釋前 時(shí)間: 2025-3-22 09:57
,Extrinsic Projection of It? SDEs on Submanifolds with Applications to Non-linear Filtering,evelop low dimensional approximations to high dimensional SDEs in a differential geometric setting. We consider the example of approximating the non-linear filtering problem with a Gaussian distribution and show how the It? projection leads to improved approximations in the Gaussian family. We brief作者: Contracture 時(shí)間: 2025-3-22 15:17
,Fast ,-Approximation of the L?wner Extremal Matrices of High-Dimensional Symmetric Matrices,sets of 3D symmetric positive definite matrices anchored at voxel positions capturing the anisotropic diffusion properties of water molecules in biological tissues. The space of symmetric matrices can be partially ordered using the L?wner ordering, and computing extremal matrices dominating a given 作者: Contracture 時(shí)間: 2025-3-22 21:03
Dimensionality Reduction for Information Geometric Characterization of Surface Topographies,synthetic bone to ocean wave height distributions and cosmic phenomena like inter-galactic cluster void distributions. Here we used a data set of 35 surface topographies, each of . pixels with spatial resolution between 4 and 7?.m per pixel, and fitted trivariate Gaussian distributions to represent 作者: 消音器 時(shí)間: 2025-3-22 21:31
On Clustering Financial Time Series: A Need for Distances Between Dependent Random Variables, for image and signal processing. This workshop brought several experts in pure and applied mathematics together with applied researchers from medical imaging, radar signal processing and finance. The authors belong to the latter group. This document was written as a long introduction to further dev作者: harpsichord 時(shí)間: 2025-3-23 02:01 作者: Pericarditis 時(shí)間: 2025-3-23 06:40
Dimensionality Reduction for Measure Valued Evolution Equations in Statistical Manifolds,l equation or the Kushner–Stratonovich resp. Duncan–Mortensen–Zakai stochastic partial differential equations of nonlinear filtering, with potential applications to signal processing, quantitative finance, heat flows and quantum theory among many other areas. Our method is based on the projection co作者: CORE 時(shí)間: 2025-3-23 10:04
Batch and Online Mixture Learning: A Review with Extensions, the gradient-based and stochastic gradient-based optimization methods and their generalizations. We then focuses on two stochastic versions of the celebrated Expectation-Maximization (EM) algorithm: Titterington’s second-order stochastic gradient EM and Cappé and Moulines’ online EM. Depending on w作者: 泛濫 時(shí)間: 2025-3-23 15:06 作者: 無目標(biāo) 時(shí)間: 2025-3-23 19:56
GI/GI/1 FIFO Queues and Random Walks,ower divergence class under a normal mean model, where the true distribution is, for example, a mixture of . distributions. Then we observe that the local minima of the empirical loss function for the power divergence properly suggest the . means if they are mutually separated in the mixture distrib作者: 獨(dú)行者 時(shí)間: 2025-3-23 23:54
Emma Horton,Andreas E. Kyprianouically consistent. Then, we propose to use clustering with a much broader application than the filtering of empirical covariance matrices from the estimated correlation coefficients. To be able to do that, we need to obtain distances between the financial time series that incorporate all the availab作者: 載貨清單 時(shí)間: 2025-3-24 02:55
Emma Horton,Andreas E. Kyprianoue approach. The free parameters associated with these square-root estimators can be rigorously selected using the Minimum Description Length (MDL) criterion for model selection. Under these models, it is shown that the MDL has a closed-form representation, atypical for most applications of MDL in de作者: Acetaldehyde 時(shí)間: 2025-3-24 09:53
Martingales and Path Decompositionshe space of square roots of densities or of densities themselves was used, without taking an infinite dimensional manifold environment space for the equation to be projected. Here we re-examine such works from the exponential statistical manifold point of view, which allows for a deeper geometric un作者: Jubilation 時(shí)間: 2025-3-24 11:16 作者: Substance 時(shí)間: 2025-3-24 17:28 作者: integral 時(shí)間: 2025-3-24 19:19 作者: antedate 時(shí)間: 2025-3-25 01:12 作者: MUMP 時(shí)間: 2025-3-25 03:31
,Extrinsic Projection of It? SDEs on Submanifolds with Applications to Non-linear Filtering,ly discuss the approximations for more general families of distribution. We perform a numerical comparison of our projection filters with the classical Extended Kalman Filter to demonstrate the efficacy of the approach.作者: 煩憂 時(shí)間: 2025-3-25 08:26 作者: 時(shí)代 時(shí)間: 2025-3-25 15:31 作者: Monotonous 時(shí)間: 2025-3-25 18:46 作者: CAMEO 時(shí)間: 2025-3-25 20:08
https://doi.org/10.1007/978-3-319-26911-5ly discuss the approximations for more general families of distribution. We perform a numerical comparison of our projection filters with the classical Extended Kalman Filter to demonstrate the efficacy of the approach.作者: mercenary 時(shí)間: 2025-3-26 02:52 作者: 圣歌 時(shí)間: 2025-3-26 05:25 作者: 同步信息 時(shí)間: 2025-3-26 09:57
1860-4862 nals.Discusses the transfer of theory and methodology to pra.This book focuses on the application and development of information geometric methods in the analysis, classification and retrieval of images and signals. It provides introductory chapters to help those new to information geometry and appl作者: 猜忌 時(shí)間: 2025-3-26 14:45
https://doi.org/10.1007/978-1-4612-4062-4relevant theory and key references (Sect. .), and finish with a number of applications of the theory (Sect. .). We treat ‘Information Geometry’ as an evolutionary term, deliberately not attempting a comprehensive definition. Rather, we illustrate how both the geometries used and application areas are rapidly developing.作者: Retrieval 時(shí)間: 2025-3-26 17:39 作者: NICHE 時(shí)間: 2025-3-26 22:41
Information Geometry and Its Applications: , Overview,relevant theory and key references (Sect. .), and finish with a number of applications of the theory (Sect. .). We treat ‘Information Geometry’ as an evolutionary term, deliberately not attempting a comprehensive definition. Rather, we illustrate how both the geometries used and application areas are rapidly developing.作者: 天氣 時(shí)間: 2025-3-27 02:19
Towards the Geometry of Model Sensitivity: An Illustration,of the model. In particular it is an example of what we call computational information geometry. The embedding of simple models in much larger information geometric spaces is shown to illuminate these critically important issues.作者: 對(duì)手 時(shí)間: 2025-3-27 07:17
Stochastic Networks and Reversibility,del is then seen to involve an informative rotation, often embodying extra-data considerations. We also look at the way that translation of models generates a form of bias-variance trade-off. Overall, our approach is a global extension of pioneering local work by Copas and Eguchi which, we note, was also geometrically inspired.作者: 靈敏 時(shí)間: 2025-3-27 13:23
Classical Neutron Transport Theorysed to reveal the groupings among subsets of samples in an easily comprehended graphic in 3-space. The samples here came from the papermaking industry but such a reduction of large frequently noisy spatial data sets is useful in a range of materials and contexts at all scales.作者: Biguanides 時(shí)間: 2025-3-27 15:37
On the Geometric Interplay Between Goodness-of-Fit and Estimation: Illustrative Examples,del is then seen to involve an informative rotation, often embodying extra-data considerations. We also look at the way that translation of models generates a form of bias-variance trade-off. Overall, our approach is a global extension of pioneering local work by Copas and Eguchi which, we note, was also geometrically inspired.作者: 恫嚇 時(shí)間: 2025-3-27 20:01 作者: chronicle 時(shí)間: 2025-3-27 22:20 作者: Ordnance 時(shí)間: 2025-3-28 04:35 作者: Engaging 時(shí)間: 2025-3-28 06:59
https://doi.org/10.1007/978-3-319-47058-0Brain-computer Interactions; Computational Anatomy; Coordinate-free Operations; Diffusion Tensor Images作者: hegemony 時(shí)間: 2025-3-28 12:25
978-3-319-83651-5Springer International Publishing AG 2017作者: Accede 時(shí)間: 2025-3-28 18:10
Frank Nielsen,Frank Critchley,Christopher T. J. DoFocuses on the application and development of information geometric methods in the analysis, classification, and retrieval of images and signals.Discusses the transfer of theory and methodology to pra作者: 美學(xué) 時(shí)間: 2025-3-28 20:03
Signals and Communication Technologyhttp://image.papertrans.cn/c/image/232350.jpg作者: overbearing 時(shí)間: 2025-3-29 01:24
https://doi.org/10.1007/978-1-4612-4062-4s, divergences, tensorial structures, and dimensionality. For each, we start with a graphical illustrative example (Sect. .), give an overview of the relevant theory and key references (Sect. .), and finish with a number of applications of the theory (Sect. .). We treat ‘Information Geometry’ as an 作者: Common-Migraine 時(shí)間: 2025-3-29 05:29 作者: Endemic 時(shí)間: 2025-3-29 11:06 作者: 震驚 時(shí)間: 2025-3-29 11:57 作者: Annotate 時(shí)間: 2025-3-29 15:45 作者: 來自于 時(shí)間: 2025-3-29 21:13
Priscilla E. Greenwood,Lawrence M. Wardsets of 3D symmetric positive definite matrices anchored at voxel positions capturing the anisotropic diffusion properties of water molecules in biological tissues. The space of symmetric matrices can be partially ordered using the L?wner ordering, and computing extremal matrices dominating a given 作者: rods366 時(shí)間: 2025-3-30 01:41
Classical Neutron Transport Theorysynthetic bone to ocean wave height distributions and cosmic phenomena like inter-galactic cluster void distributions. Here we used a data set of 35 surface topographies, each of . pixels with spatial resolution between 4 and 7?.m per pixel, and fitted trivariate Gaussian distributions to represent 作者: bronchiole 時(shí)間: 2025-3-30 05:17
