文件名称:PatternRecognition
- 所属分类:
- 图形图像处理(光照,映射..)
- 资源属性:
- [Matlab] [源码]
- 上传时间:
- 2012-11-26
- 文件大小:
- 17kb
- 下载次数:
- 0次
- 提 供 者:
- 王*
- 相关连接:
- 无
- 下载说明:
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介绍说明--下载内容均来自于网络,请自行研究使用
A set of matlab funcitons used in the field of digital image processing (pattern recognition).
相关搜索: Pattern
Recognition
recognition
image
recognition
MATLAB
Digital
recognition
digital
image
processing
pattern
image
recognition
matlab
相关搜索: Pattern
Recognition
recognition
image
recognition
MATLAB
Digital
recognition
digital
image
processing
pattern
image
recognition
matlab
(系统自动生成,下载前可以参看下载内容)
下载文件列表
PatternRecognition
..................\Bayesian_Belief_Networks.m
..................\Bayesian_parameter_est.m
..................\Bayes_belief_net.mat
..................\Bottom_Up_Parsing.m
..................\Boyer_Moore_String_Matching.m
..................\contents.m
..................\demo_fun.m
..................\Edit_Distance.m
..................\gradient_descent.m
..................\Grammatical_Inference.m
..................\high_histogram.m
..................\HMM_Backward.m
..................\HMM_Boltzmann.m
..................\HMM_Decoding.m
..................\HMM_Evaluation.m
..................\HMM_Forward.m
..................\HMM_Forward_Backward.m
..................\HMM_generate.m
..................\mean_bootstrap.m
..................\mean_jackknife.m
..................\Naive_String_Matching.m
..................\Newton_descent.m
..................\ROCC.m
..................\sample_hmm.mat
..................\Stochastic_Regression.m
..................\sufficient_statistics.m
..................\Bayesian_Belief_Networks.m
..................\Bayesian_parameter_est.m
..................\Bayes_belief_net.mat
..................\Bottom_Up_Parsing.m
..................\Boyer_Moore_String_Matching.m
..................\contents.m
..................\demo_fun.m
..................\Edit_Distance.m
..................\gradient_descent.m
..................\Grammatical_Inference.m
..................\high_histogram.m
..................\HMM_Backward.m
..................\HMM_Boltzmann.m
..................\HMM_Decoding.m
..................\HMM_Evaluation.m
..................\HMM_Forward.m
..................\HMM_Forward_Backward.m
..................\HMM_generate.m
..................\mean_bootstrap.m
..................\mean_jackknife.m
..................\Naive_String_Matching.m
..................\Newton_descent.m
..................\ROCC.m
..................\sample_hmm.mat
..................\Stochastic_Regression.m
..................\sufficient_statistics.m