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ASR_matlab
语音识别的MATLAB代码,包括用于测试的语音,实现了利用HMM(隐含马尔可夫)和DTW(动态规划)两种方法的实现。(ASR use HMM and DTW method include wave files use for test and training.)
- 2020-12-13 22:39:15下载
- 积分:1
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apriori
link data for meaning and using the program in apriori algoritm
- 2010-12-08 14:55:33下载
- 积分:1
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EigenFace-FisherFace
This file takes cropped yale face images file as input and performs classifications based on
1. Correlation
2. Eigen vector based classification (Eigen Face)
3. Fisher Linear Discriminator (FLD) (Fisher Face)
The zip contains two files
readyaledata.m to read the image database
EigenFace-FisherFace.m to do classification as described above
- 2013-12-24 10:42:01下载
- 积分:1
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cantor
Cantor in chaotic analysis in quasi-periodic root to chaos
- 2012-02-07 19:24:06下载
- 积分:1
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legaturi--cadre
More examplex of html app witch include image maps, link
- 2015-04-18 19:21:37下载
- 积分:1
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Spatialfeaturedetection
用于空域特征检测的几个代码,很实用,而且结果也很好哦!希望大家来共同进步(several codes for detecting of spatial characteristics)
- 2010-08-15 21:24:32下载
- 积分:1
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L1Solvers
用于压缩传感解码,有较快的解码速度和解码质量。(This code is for decoding of compressive sensing,which is fast and of good decoding quality. )
- 2010-09-09 23:23:31下载
- 积分:1
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gskmadechar
基于matlab的图像检索,供大家学习参考。(Matlab-based image retrieval, for them to learn from the reference.)
- 2009-05-12 11:12:46下载
- 积分:1
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globle_graph_mining
说明: 图挖掘,图聚类
m文件主要包含4个功能:图的生成,图相似度分析,节点符号化,边权挖掘
,详细说明见注释(graph mining, graph clustering)
- 2009-08-31 21:33:51下载
- 积分:1
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OMB_DHC
该matlab代码实现了“综合多分支分裂式层次化聚类”
(Matlab implementation of Omnibus Multi-Branching Divisive Hierarchical Clustering (OMBDHC)
“A competitive omnibus performance criterion for divisive multi-branching
hierarchical clustering” by Soeria-Atmadja et al. (submitted). Note that OMB-DHC package
is implemented in Matlab code and therefore demands the Matlab core program, as well as the
Statistics toolbox of Matlab.
Divisive hierarchical clustering (DHC) has emerged as a promising alternative for the
identification of sub-structures in multivariate data. Of particular interest is multi-branching
DHC, which allows flexible numbers of subclusters at each hierarchical level. One poorly
explored issue in multi-branching DHC concerns the actual importance of the two
performance criteria (and their associated algorithms) to automatically create clusters and
select number of clusters, respectively. Another interesting but hitherto unexplored issue is
the possibility to employ a single omnibus performance criterion that guide)
- 2013-01-29 11:05:02下载
- 积分:1