By Hà Quang Minh,Vittorio Murino
This e-book provides a variety of the newest algorithmic advances in Riemannian geometry within the context of laptop studying, records, optimization, computer vision, and similar fields. The unifying topic of the various chapters within the book is the exploitation of the geometry of information utilizing the mathematical equipment of Riemannian geometry. As confirmed via all of the chapters within the ebook, while the data is intrinsically non-Euclidean, the usage of this geometrical details can lead to greater algorithms which can seize extra appropriately the constructions inherent in the data, prime finally to higher empirical functionality. This e-book isn't meant to be an encyclopedic compilation of the functions of Riemannian geometry. as a substitute, it focuses on a number of vital study instructions which are at the moment actively pursued by researchers within the box. those comprise statistical modeling and research on manifolds,optimization on manifolds, Riemannian manifolds and kernel equipment, and dictionary learning and sparse coding on manifolds. Examples of functions contain novel algorithms for Monte Carlo sampling and Gaussian combination version becoming, 3D mind snapshot analysis,image type, motion reputation, and movement tracking.
Read Online or Download Algorithmic Advances in Riemannian Geometry and Applications: For Machine Learning, Computer Vision, Statistics, and Optimization (Advances in Computer Vision and Pattern Recognition) PDF
Best mathematical & statistical books
This example-rich consultant exhibits you the way to behavior a variety of statistical analyses without SAS programming required. for every research, a number of genuine information units, a short advent of the procedure, and a transparent rationalization of the SAS firm consultant output are supplied.
The final word beginner's consultant to SPSS and statistical research SPSS facts For Dummies is the joys and pleasant consultant to gaining knowledge of SPSS. This ebook comprises every little thing you must recognize to wake up and working quick with this industry-leading software program, with transparent, important assistance on operating with either the software program and your information.
The Workflow of information research utilizing Stata, by way of J. Scott lengthy, is an important productiveness software for facts analysts. aimed toward a person who analyzes information, this booklet provides an efficient procedure for designing and doing data-analytic tasks. whereas describing potent workflows, lengthy additionally introduces the recommendations of simple facts administration utilizing Stata and writing Stata do-files.
Cluster analisys is a collection of unsupervised studying concepts to discover usual groupings and styles in facts. Cluster research or clustering is the duty of grouping a collection of items in this sort of means that items within the related crew (called a cluster) are extra comparable (in a few experience or one other) to one another than to these in different teams (clusters).
- IBM SPSS Statistics 23 Step by Step: A Simple Guide and Reference
- Mathematica Cookbook: Building Blocks for Science, Engineering, Finance, Music, and More
- Dependable Software Engineering: Theories, Tools, and Applications: Second International Symposium, SETTA 2016, Beijing, China, November 9-11, 2016, Proceedings (Lecture Notes in Computer Science)
- COMPSTAT 2004 - Proceedings in Computational Statistics: 16th Symposium Held in Prague, Czech Republic, 2004
Extra info for Algorithmic Advances in Riemannian Geometry and Applications: For Machine Learning, Computer Vision, Statistics, and Optimization (Advances in Computer Vision and Pattern Recognition)