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projeson
matlab project decision making analysis
- 2010-06-09 00:21:27下载
- 积分：1
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imIntegralHist
A m-function called iHist to compute the histogram of any rectangular subimage
of the input image given the integral histogram
- 2014-10-06 13:01:58下载
- 积分：1
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capacity
现代编码调制作业，不同信噪比下的信道容量计算(Modern coding and modulation operations, different SNR channel capacity calculation)
- 2011-11-21 18:48:43下载
- 积分：1
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mean-shift
均值向量的编程的学习算法 通过这个算法可以变成处理图片的跟踪(Mean Vector learning algorithm programming algorithm can be turned through this track with pictures)
- 2013-11-20 15:34:55下载
- 积分：1
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mskfainl
msk modulation and de modulation
- 2010-09-08 01:37:52下载
- 积分：1
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imCRBM
implicit mixtures of conditional restricted boltzmann machines for human body tracking
- 2014-08-07 00:07:15下载
- 积分：1
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releaseV301
Structured Edge Detection Toolbox(
###################################################################
# #
# Structured Edge Detection Toolbox V3.0 #
# Piotr Dollar (pdollar-at-microsoft.com) #
# #
###################################################################
1. Introduction.
Very fast edge detector (up to 60 fps depending on parameter settings) that achieves excellent accuracy. Can serve as input to any vision algorithm requiring high quality edge maps. Toolbox also includes the Edge Boxes object proposal generation method and fast superpixel code.
If you use the Structured Edge Detection Toolbox, we appreciate it if you cite an appropriate subset of the following papers:
@inproceedings{DollarICCV13edges,
author = {Piotr Doll ar and C. Lawrence Zitnick},
title = {Structured Forests for Fast Edge Detecti)
- 2014-10-13 14:52:12下载
- 积分：1
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Suanshu-Bianma-Jiema
基于matlab的算术编码设计，里面的程序均得到验证(Arithmetic coding matlab-based design, which the program have been validated)
- 2013-11-24 11:39:20下载
- 积分：1
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EM_GM
％ EM algorithm for k multidimensional Gaussian mixture estimation
％
％ Inputs:
％ X(n,d) - input data, n=number of observations, d=dimension of variable
％ k - maximum number of Gaussian components allowed
％ ltol - percentage of the log likelihood difference between 2 iterations ([] for none)
％ maxiter - maximum number of iteration allowed ([] for none)
％ pflag - 1 for plotting GM for 1D or 2D cases only, 0 otherwise ([] for none)
％ Init - structure of initial W, M, V: Init.W, Init.M, Init.V ([] for none)
％
％ Ouputs:
％ W(1,k) - estimated weights of GM
％ M(d,k) - estimated mean vectors of GM
％ V(d,d,k) - estimated covariance matrices of GM
％ L - log likelihood of estimates
％( EM algorithm for k multidimensional Gaussian mixture estimation Inputs: X (n, d)- input data, n = number of observations, d = dimension of variable k- maximum number of Gaussian components allowed ltol- percentage of the log likelihood difference between 2 iterations ([] for none) maxiter- maximum number of iteration allowed ([] for none) pflag- 1 for plotting GM for 1D or 2D cases only, 0 otherwise ([] for none) Init- structure of initial W, M, V: Init.W, Init.M, Init.V ([] for none) Ouputs: W (1, k)- estimated weights of GM M (d, k)- estimated mean vectors of GM V (d, d, k)- estimated covariance matrices of GM L- log likelihood of estimates)
- 2008-04-27 15:51:27下载
- 积分：1
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4-DIPUM-Code
Basics in Image Processing using MATLAB
- 2009-06-09 12:33:12下载
- 积分：1
