搜索资源列表
HMM
- 隐马尔可夫的经典文献，和通俗易懂的PPT，很好的经典资料，文献常被应用，甚至PPT都经常被模仿-Hidden Markov classic literature, and user-friendly PPT, classic good information, the literature is often applied, or even PPT are often imitate
svmhmm
- svm和hmm混合模型手写签名认证,充分利用SVM的分类能力以及HMM适合处理连续信号的优势进行手写签名认证-hmm mixed model and svm handwritten signature authentication, make full use of the classification ability of SVM and HMM for continuous signal processing advantages of the handwritten signature v
2DLDAwiththeSVM-basedfacerecognitionalgorithm
- 二维线性鉴别分析(2DLDA)算法能有效解决线性鉴别分析(LDA)算法的“小样本”效应，支持向量机 (SVM)具有结构风险最小化的特点，将两者结合起来用于人脸识别。首先，利用小波变换获取人脸图像的低频分量，忽 略高频分量：然后，用2DLDA算法提取人脸图像低频分量的线性鉴别特征，用“一对多”的SVM 多类分类算法完成人脸 识别。基于ORL人脸数据库和Yale人脸数据库的实验结果验证了2DLDA+SVM算法应用于人脸识别的有效性。-”Small sample size”problem
Hybridmodeslforspeech
- A Speech Recognition System based on a Hybrid HMM/SVM Architecture.A good paper on hybrid model of speech recgnition
fhmm1
- 基于HMM和SVM分类器的人脸识别系统，非常强大-Face recognition using Hidden Markov Models (HMM) and SVM features for education and study.
spider20060724
- 机器学习和模式识别工具包spider。内容很丰富。包含svm 决策树（C45,J48）、svm、knn、adaboost、bagging、hmm（隐马尔科夫模型）、随机树（random forest）等-Machine learning and pattern recognition toolkit spider. Very rich in contents. Tree contains svm (C45, J48), svm, knn, adaboost, bagging, hmm (hidd
Hidden-Markov
- 关于隐马尔科夫模型方面的文献资料，介绍了HMM的原理，拓展。创新性将SVM和HMM结合应用-Literature on hidden Markov model aspects, introduced the principle of HMM expand. The innovative application of SVM and HMM combination
network
- 多种神经网络算法，包括等，可实现模式识别以及回归。-There are many algorithms in the zip,including svm, bp, crf,hmm.It can be used in the pattern recognition.
lanfang
- 考虑雨衰 阴影 和多径影响，完整的基于HMM的语音识别系统，包括最小二乘法、SVM、神经网络、1_k近邻法。- Consider shadow rain attenuation and multipath effects Complete HMM-based speech recognition system, Including the least squares method, the SVM, neural networks, 1 _k neighbor method.
hmmSVMybrid2
- A Hybrid SVM/HMM Acoustic Modeling Approach to Automatic Speech Recognition
qiuheng-V5.7
- 实现典型相关分析，完整的基于HMM的语音识别系统，包括最小二乘法、SVM、神经网络、1_k近邻法。- Achieve canonical correlation analysis, Complete HMM-based speech recognition system, Including the least squares method, the SVM, neural networks, 1 _k neighbor method.
fu447
- Complete HMM-based speech recognition system, For feature extraction, signal de-noising, Analysis of the signal time domain, frequency domain, cepstrum, cyclic spectrum, etc.