搜索资源列表
icaML
- This a Bayesian ICA algorithm for the linear instantaneous mixing model with additive Gaussian noise [1]. The inference problem is solved by ML-II, i.e. the sources are found by integration over the source posterior and
base-on-Java
- 本文以此为背景,提出了基于事件驱动的BDI agent实现体系结构,用信念(Belief)、事件(Event)、规划(Plan)等内部特征来描述软件agent,并给出了面向对象层次上的软件agent的UML模型,该模型定义了构成软件agent的四个对象:Agent、BeliefSet、Event、Plan 为描述这些对象及其交互关系,本文以java语言为基础,扩展出了能描述这四个对象的java类以及描述其交互关系-this backgr
TRW_S-v1.1
- The two algorithms are max-product belief propagation (BP, Pearl 88) and sequential tree-reweighted max-product message passing (TRW-S, Kolmogorov 05)
bp-vision
- This document briefly describes an implementation of the algorithms from our paper Efficient Belief Propagation for Early Vision which appeared in CVPR 2004.
ldpcdecoder
- ldpc decode c程序 Iterative probabilistic decoding of linear block codes.Based on Pearl s Belief Propagation in Bayesian Networks.This version utilizes object to define graph nodes and LOG-LIKELIHOOD RATIOS. Much improve
c_inference_ver2.2
- The package includes 3 Matlab-interfaces to the c-code: 1. inference.m An interface to the full inference package, includes several methods for approximate inference: Loopy Belief Propagation, Generalized Beli
StereoMatch
- 使用 c++ 写的图像处理平台 ，支持 belief propogation, dynamic programming,graphic cut. 等算法 ，在vs2005 下调试通过 ，如果 不会使用，请发邮件 walwj@sohu.com 咨询-Use c++ Write image processing platform, to support the belief propogation, dynamic programming,
StereoDisparity
- The algorithm is based on “Segment-Based Stereo Matching Using Belief Propogation and a Self-Adapting Dissimilarity Measure” by Klaus, Sormann, and Karner. -The algorithm is based on
BP
- 基于可信传播的立体匹配算法(max-product belief propagation,accelerated updating)-Based on the credibility of the spread of stereo matching algorithm (max-product belief propagation, accelerated updating)
gbp
- Gaussian belief propagation code in matlab.
bp-extensions
- 利用belief propagation方法实现的模型优化和参数的估计-Ways to achieve the use of belief propagation model optimization and parameter estimation
ldpc_c_code
- LDPC码在基于BP (Belief Propagation) 的迭代译码相结合的条件下具有逼近Shannon 限的性能，是继turbo 码后在纠错编码领域又一重大进展。压缩文件中给出了LDPC在高斯信道下的c程序。-LDPC codes based on BP (Belief Propagation) Iterative Decoding of combining conditions with performance approac
EfficientBeliefPropagationforEarlyVision
- 本文献是双目立体视觉全局算法：Belief Propagation中的经典文献，欢迎下载-The literature is the overall algorithm for binocular stereo vision: Belief Propagation in classic literature, please download
BPalgorithm
- belief propagation algrithm
StandardBP
- This the program for stereo in the computer vision community. The program is made by utilizing the standard belief propagation algorithm. -This is the program for stereo in the computer vision community. The program is m
BP
- Belief Propagation (BP) Implementations gabp.m, run_gabp.m => Gaussian BP - parallel version asynch_GBP.m => Gaussian BP - serial version sparse_gabp.m, run_sparse_gabp.m => Gaussian BP - sparse version
LDLC
- Low density lattice decoder via non-parametric belief propagation
fault_detection
- Distributed fault identification via non-parametric belief propagation
Belief-Propagation
- 置信传播立体匹配算法，详细说明消息传递的过程，经典论文！-Markov random ?eld models provide a robust and uni?ed fr a mework for early vision problems such as stereo and image restoration. Inference algorithms based on graph cuts and belief propagati
Deep-Belief-Network-for-Regression-master
- 利用深度置信网络进行回归建模(Regression Modeling Using Deep Belief Network)