搜索资源列表
HmmDemo
- 马尔科夫模型，包括概率计算，如前向概率计算和后向概率计算，还有模型的学习和预测。-Markov model, including a probability calculation, such as the forward probability calculations and backward probability calculation model of learning and prediction.
HMM
- 关于隐马尔可夫的说话人识别的幻灯片，查阅了大量的文献，来之不易，欢迎大家前来参考，并给与意见。-Slide on Hidden Markov speaker recognition, access to a large body of literature, not easy to come by, welcome to come to refer to, and give their views.
SpeechSignalPossessing-1995
- 语音信号处理 包括语音信号的同态处理和先行预测编码分析（LPC） 隐马尔可夫模型的分析（HMM）等-The voice signal processing includes a voice signal the homomorphic processing and the first prediction coding analysis (LPC) analysis of the Hidden Markov Model (HMM)
MRF_BENCH
- 实现了C聚类以后的马尔科夫图像分割，对阈值的选取和图像的后验概率计算-C clustering after the Markov segmentation, the posterior probability threshold value is selected and images calculated
hmmm
- HMM 隐马尔科夫过程预测与算法交易研究以及matlab程序-HMM Hidden Markov process prediction and algorithmic trading and Matlab procedures
code
- 处理lasso regression。 使用stochastic Markov property。-Algorithm for solving the Lasso problem: 0.5* (y- X*beta) *(y- X*beta)+ lambda* ||beta||_1 where ||beta||_1 is the L_1 n
iHMM
- 状态可变的隐马尔科夫模型C++代码,里面包含实验数据-state change hidden Markov model written in C++
HMMsource
- 语音识别需要的隐马尔可夫模型训练及识别程序，已调试过，可以直接运行。可生成训练过的隐马尔可夫模型，和测试结果。用的到的可以看一下。-Speech recognition requires the hidden Markov model training and recognition procedures have been debugging, and can be run directly. Can generate trained hidden Markov model, and test
synthetic
- 将马尔科夫融入到图像的纹理融合中，图像的纹理融合的功能-Markov into the texture of the image fusion, image texture blending function
hmm_matlab
- 用M语言编写实现隐马尔科夫的人脸检测的全部完整程序-Using M language complete face detection process of hidden Markov.
mdpPI
- Contains excellent and exact implementation of Markov Dec. Processes using Policy Iteration and Value Itreration from the book Perter Norvig for AI.-Contains excellent and exact implementation of Markov Dec. Processes using Policy Iteration and Value
HMM
- 隐马尔科夫模型的matlab工具箱，可用于语音识别、步态识别等人工智能研究领域-Hidden Markov model matlab toolbox, can be used for speech recognition, gait recognition research fields such as artificial intelligence
hmm
- 隐马尔可夫过程是一个双重随机过程：一重用于描述非平稳信号的短时平稳段的统计特 征（信号的瞬态特征，可直接观测到）；另一重随机过程描述了每个短时平稳段是如何转变 到下一个短时平稳段，即短时统计特征的动态特性（隐含在观察序列中)-Hidden Markov process is a doubly stochastic process: a weight used to describe the non-stationary signal short plateau statistical S
paper5
- 一种基于隐马尔可夫模型的目标轨迹跟踪算法.pdf-Hidden Markov Model-based target tracking algorithm. Pdf
higher-order-energy.tar
- (iccv11)Graph Cut Higher-Order MRF，马尔科夫随机场的高阶能量优化。-(Iccv11) Graph Cut Higher-Order MRF, Markov random high-level energy optimization.
struct_predict_smooth_v1.342
- Daniel Munoz的论文Contextual Classification with Functional Max-Margin Markov Networks-Daniel Munoz paper Contextual Classification with Functional Max-Margin Markov Networks
MRF-SAR-segment
- 对SAR图像分割 用马尔科夫随机长进行的。可以任意输入类别数目-For SAR image segmentation using Markov old airport
Chapter2
- 随机过程中的高斯-马尔科夫过程，以及产生的概率密度函数-The Gaussian random process- Markov process, and the resulting probability density function
IMM
- 交互多模型算法是一种用模型集描述系统各个时刻的状态，相对于单模型系统有很大的适应性，其模型集之间的切换是一个马尔科夫过程，按照状态转移概率矩阵进行切换的-Interacting multiple model algorithm is a model used to describe the system sets the status of each moment, as opposed to a single model system has great flexibility, the mo
mmse_mrf_demo-1.1
- 图像去噪-A Generative Perspective on MRFs in Low-Level Vision-A Generative Perspective on MRFs in Low-Level Vision Markov random fields (MRFs) are popular and generic probabilistic models of prior knowledge in low-level vision. Yet their generative