By Hà Quang Minh,Vittorio Murino
This booklet offers a variety of the newest algorithmic advances in Riemannian geometry within the context of computer studying, statistics, optimization, computer vision, and comparable fields. The unifying topic of the several chapters within the book is the exploitation of the geometry of information utilizing the mathematical equipment of Riemannian geometry. As confirmed via the entire chapters within the e-book, while the data is intrinsically non-Euclidean, the usage of this geometrical info can lead to higher algorithms which may catch extra effectively the buildings inherent in the data, best eventually to raised empirical functionality. This ebook isn't really meant to be an encyclopedic compilation of the purposes of Riemannian geometry. in its place, it focuses on numerous vital examine instructions which are presently actively pursued by researchers within the box. those contain statistical modeling and research on manifolds,optimization on manifolds, Riemannian manifolds and kernel tools, and dictionary learning and sparse coding on manifolds. Examples of functions contain novel algorithms for Monte Carlo sampling and Gaussian mix version becoming, 3D mind photograph analysis,image category, motion popularity, and movement tracking.
Read 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 Festschrift in honour of Ursula Gather’s sixtieth birthday offers with sleek subject matters within the box of strong statistical tools, specially for time sequence and regression research, and with statistical equipment for complicated info buildings. the person contributions of best specialists offer a textbook-style evaluate of the subject, supplemented through present learn effects and questions.
This simple advisor to PROC TEMPLATE indicates you the way to construct your individual customized types and tables in SAS. you are going to how to create new kinds to compare your organization's criteria or just to extend your report's aesthetic power construct customized tables with advanced buildings and site visitors lights to cause them to more uncomplicated to learn and interpret deal with your templates and proportion them with different SAS clients Written for all degrees of clients, PROC TEMPLATE Made effortless courses you thru the method of writing templates.
In SAS facts by way of instance, Ron Cody deals up a cookbook method for doing facts with SAS. based particularly round the most ordinarily used statistical projects or techniques--for instance, evaluating ability, ANOVA, and regression--this e-book offers an easy-to-follow, how-to method of statistical research no longer present in different books.
Deep studying is a department of laptop studying that teaches pcs to do what comes obviously to people: research from event. laptop studying algorithms use computational the right way to "learn" details at once from facts with no hoping on a predetermined equation as a version. Deep studying is principally suited to photograph acceptance, that is very important for fixing difficulties corresponding to facial popularity, movement detection, and plenty of complex motive force tips applied sciences akin to self sufficient using, lane detection, pedestrian detection, and self sufficient parking.
- The Grammar of Graphics (Statistics and Computing)
- Geometric Algebra: An Algebraic System for Computer Games and Animation
- Übungsbuch Mathematik für Wirtschaftswissenschaftler: Aufgabensammlung mit ausführlichen Lösungen (Springer-Lehrbuch) (German Edition)
- PROC TABULATE by Example, Second Edition
Additional info for Algorithmic Advances in Riemannian Geometry and Applications: For Machine Learning, Computer Vision, Statistics, and Optimization (Advances in Computer Vision and Pattern Recognition)
Algorithmic Advances in Riemannian Geometry and Applications: For Machine Learning, Computer Vision, Statistics, and Optimization (Advances in Computer Vision and Pattern Recognition) by Hà Quang Minh,Vittorio Murino