搜索资源列表
Adaptive-background-mixture-models-
- 在目标检测中有关高斯背景建模方法的实现和国际上先进方法的介绍-Adaptive background mixture models for real-time tracking（高斯背景建模方法）
GMM
- Source code - create Gaussian Mixture Model in following steps: 1, K-means 2, Expectation-Maxximization 3, GMM Notice: All datapoints are generated randomly and you can config in Config.h-Source code- create Gaussian Mixture Model
Baseball_Playfield_Segmentation_Using_Adaptive_Ga
- a document about "Baseball Playfield Segmentation Using Adaptive Gaussian Mixture Models"
Gaussian_Mixture_Models_and_Probabilistic_Decisio
- very good Gaussian Mixture Models and Probabilistic Decision-Based Neural Networks for Pattern Classification - A Comparative Study document -very good Gaussian Mixture Models and Probabilistic Decision-Based Neural Networks for Pattern Classificatio
High
- This paper presents a clustering approach which estimates the specific subspace and the intrinsic dimension of each class. Our approach adapts the Gaussian mixture model framework to high-dimensional data and estimates the parameters which best
Surveyonindependentcomponentanalysis
- 关于利用独立分量ICA对混和后的多声源进行分解的很好的参考文献-ICA on the use of independent component of the mixture after the decomposition of multi-source good references
stauffer-mog-
- stauffer的经典的混合高斯模型算法描述，适合做行为检测的人使用。-stauffer the classical Gaussian mixture model algorithm descr iption, suitable for people who use behavior detection.
An-improved--background-model-
- 在移动目标检测中的，在高斯背景建模的基础上滤除阴影OpenCV-An improved adaptive background mixture model for real-time tracking with shadow detection（在高斯背景建模的基础上滤除阴影OpenCV
HTK-digital-SR-system-
- 该系统能够识别连续说出的数字串和若干组姓名。建模是针对子词(sub-word, eg. 音 素)，具有一定的可扩充性。当加入一个新名字时，只需修改发音词典和任务语法即可。模 型为连续混合高斯输出，运用语音决策树聚类形成的绑定状态式三音素。-The system is able to recognize continuously spoken digit string and the number of groups name. Modeling is a sub-word (sub-wo
semi-supervized-learning
- A PhD thesis on Semi-supervised learning with Graphs by Xiaojin Zhu. Focuses on creating graphs, based on a mixture of labeled and unlabeled data (as per the semi-supervised learning paradigm) and using processes on these graphs to propagate in rigo
04470127.rar
- Blind Source Separation (BSS) is a statistical approach to separate individual signals from an observed mixture of a group of signals. BSS relies on only very weak assumptions on the signals and the mixing process and this blindness enab
YJYU_ICCIT2008_GMM
- 本文提供了利用高斯混合模型进行短时交通预测的算法描述，同时对于该算法的性能进行了评价。-This article provides a Gaussian mixture model for short-term traffic forecast algorithm descr iption, were evaluated for the performance of the algorithm.
1-s2.0-S0003267012015917-main
- 一种新型长寿命发光欧盟淬火（III）–吡啶-2,6-二羧酸探针溶质计量比1:2一直在pH为7.5的体积分数0.10的乙醇水混合物的研究–（HEPES缓冲液）在有机磷农药的毒虫畏的存在（P1）（P2），谷硫磷，马拉硫磷（P3），和轴索侧支乙基（P4）。-Luminescence quenching of a novel long lived Eu(III)–pyridine-2,6-dicarboxylic acid probe of 1:2 stoi-chiometric ratio has b
A-Bayesian-estimation-for-single-target-tracking-
- A bayesian estimation for single target tracking based on state mixture models
Mixture-model-ICM-Bayesian
- A MIXTURE-SITE MODEL FOR EDGE-PRESERVING IMAGE RESTORATION USING BAYESIAN METHOD
GMMpapers
- Gaussin Mixture Models development