Supervised Image Segmentation Using Markov Random Fields
標簽： Segmentation Supervised Fields Markov
上傳時間： 2015-12-01
上傳用戶：kytqcool
RANDVEC Generate gaussian random vectors X=(N,M,C)
標簽： Generate gaussian RANDVEC vectors
上傳時間： 2013-12-17
上傳用戶：diets
important 計算機科學與藝術random庫
上傳時間： 2014-01-15
上傳用戶：wanghui2438
tile game 開始的時候沒做random 需要手動調亂了 再拼
上傳時間： 2014-07-29
上傳用戶：Divine
這是一本經典的美國關于概率論和隨機過程的書的習題解答。這本書成為美國通信專業許多學校博士生的教材。書名“Probability ,random variables and stochastic processes” Athanasions Papoulis 著
標簽： Probability stochastic variables random
上傳時間： 2016-02-22
上傳用戶：llandlu
Uniform random number generators by Agner Fog, 2001 - 2007 randomc.zip contains a C++ class library of uniform random number generators of good quality. The random number generators found in standard libraries are often of a poor quality, insufficient for large Monte Carlo calculations. This C++ implementation provides random number generators of a much better quality: Better randomness, higher resolution, and longer cycle lengths. The same random number generators are available as libraries coded in assembly language for higher speed. These libraries can be linked into projects coded in other programming languages under Windows, Linux, BSD, etc. The library files are available in the archive asmlib.zip. Non-uniform random number generators are provided in stocc.zip.
標簽： generators contains Uniform randomc
上傳時間： 2014-12-01
上傳用戶：royzhangsz
Generate 100 samples of a zero-mean white noise sequence with variance , by using a uniform random number generator. a Compute the autocorrelation of for . b Compute the periodogram estimate and plot it. c Generate 10 different realizations of , and compute the corresponding sample autocorrelation sequences , and . Compute the average autocorrelation sequence as and the corresponding periodogram for . d Compute and plot the average periodogram using the Bartlett method. e Comment on the results in parts (a) through (d).
標簽： zero-mean Generate sequence variance
上傳時間： 2016-03-04
上傳用戶：朗朗乾坤
Random Generators and Normal Numbers 隨機數產生 英文文檔。
標簽： Generators Numbers Random Normal
上傳時間： 2014-12-21
上傳用戶：wendy15
Conditional Random Field（CRF）是重要的串學習模型，廣泛用于自然語言處理的各個領域。CRF++是CRF的一個高效的實現，具有可擴展性好，功能強大的優點。
標簽： Conditional Random Field CRF
上傳時間： 2016-04-14
上傳用戶：hjshhyy
TWISTER Uniformly distributed pseudo-random numbers
標簽： pseudo-random distributed Uniformly TWISTER
上傳時間： 2016-04-24
上傳用戶：q123321
