A Statistical Method for 3D Object Detection Applied to Faces and Cars.
標簽： Statistical Detection Applied Method
上傳時間： 2017-05-05
上傳用戶：wpwpwlxwlx
In this program, several Statistical fading channel simulators using the Sum-of-Sinusoids (SoS)has been implemented.A Rayleigh fading channel impulse respose using jakes model has been generated in matlab
標簽： Sum-of-Sinusoids Statistical simulators program
上傳時間： 2017-05-30
上傳用戶：ainimao
This file is a function under matlab which allow to compute several Statistical parameter of random signal such as variance, power, mean values, std, ...
標簽： Statistical parameter function compute
上傳時間： 2017-06-27
上傳用戶：ruixue198909
Statistical-Learning-Theory The goal of Statistical learning theory is to study, in a Statistical framework, the properties of learning algorithms. In particular, most results take the form of so-called error bounds. This tutorial introduces the techniques that are used to obtain such results.
標簽： Statistical Statistical-Learning-Theory learning theory
上傳時間： 2017-07-15
上傳用戶：363186
It s an entire application that uses knowdledge of probabilistic and Statistical math to generate and display radom variables characteristics and histograms...it includes a console too for changing or viewing general parameters in the form of commands sent to the application....Enjoy!
標簽： probabilistic application Statistical knowdledge
上傳時間： 2014-01-01
上傳用戶：zhangliming420
solution for the Statistical modelling for digital signal processing by hayes
標簽： Statistical processing for modelling
上傳時間： 2017-09-26
上傳用戶：dbs012280
Design for manufacturability and Statistical design encompass a number of activities and areas of study spanning the integrated circuit design and manufacturing worlds. In the early days of the planar integrated circuit, it was typical for a handful of practitioners working on a particular design to have a fairly complete understanding of the manufacturing process, the resulting semiconductor active and passive devices, as well as the resulting circuit - often composed of as few as tens of devices. With the success of semiconductor scaling, predicted and - to a certain extent even driven - by Moore’s law, and the vastly increased complexity of modern nano-meter scale processes and the billion-device circuits they allow, there came a necessary separation between the various disciplines.
標簽： Manufacturability Statistical Design for and
上傳時間： 2020-06-10
上傳用戶：shancjb
The goal of this textbook is to support the teaching of digital and Statistical signal processing in higher education. Particular attention is paid to the presentation of the fun- damental theory; key topics are outlined in a comprehensible way, and all areas of the subject are discussed in a fashion that aims at simplification without sacrificing accuracy.
標簽： Statistical Processing Digital Signal and
上傳時間： 2020-06-10
上傳用戶：shancjb
最新的支持向量機工具箱，有了它會很方便 1. Find time to write a proper list of things to do! 2. Documentation. 3. Support Vector Regression. 4. Automated model selection. REFERENCES ========== [1] V.N. Vapnik, "The Nature of Statistical Learning Theory", Springer-Verlag, New York, ISBN 0-387-94559-8, 1995. [2] J. C. Platt, "Fast training of support vector machines using sequential minimal optimization", in Advances in Kernel Methods - Support Vector Learning, (Eds) B. Scholkopf, C. Burges, and A. J. Smola, MIT Press, Cambridge, Massachusetts, chapter 12, pp 185-208, 1999. [3] T. Joachims, "Estimating the Generalization Performance of a SVM Efficiently", LS-8 Report 25, Universitat Dortmund, Fachbereich Informatik, 1999.
上傳時間： 2013-12-16
上傳用戶：亞亞娟娟123
Math.NET開源數學庫 C#實現 具體功能: - A linear algebra package, see MathNet.Numerics.LinearAlgebra. - A sparse linear algebra package, see MathNet.Numerics.LinearAlgebra.Sparse. - Non-uniform random generators, see MathNet.Numerics.Generators. - Distribution fonctions, see MathNet.Numerics.Distributions. - Statistical accumulator, see MathNet.Numerics.Statistics. - Fourier transformations, see MathNet.Numerics.Transformations. - Miscellaneous utilies (polynomials, rationals, collections).
標簽： LinearAlgebra Numerics MathNet algebra
上傳時間： 2015-07-24
上傳用戶：思琦琦
