khavari

积分:187
上传文件:5
下载次数:14
注册日期:2018-10-19 17:02:42

上传列表
sparse.zip - Stuart All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met,2019-02-17 01:20:32,下载0次
multirate.zip - Multirate Filtering for Digital Signal Processing,2019-02-17 01:13:48,下载0次
MP-master.rar - This file contains the details regarding the installation of matching pursuit algorithm.,2019-02-17 00:56:28,下载0次
Speech_ICA.zip - FIXED-POINT FREQUENCY DOMAIN ICA with GENERALIZED GAUSSIAN FUNCTION BASED NEGENTROPY APPROXIMATION for SPEECH SIGNAL SEPARATION,2019-02-17 00:49:40,下载2次
ICA.rar - ICA for solving the Blind Source Separation (BSS) problem,2019-02-17 00:45:56,下载0次

近期下载
KPCA.rar - 人脸识别中KPCA算法,调试成功。大家可以下载
KPCAimplementation.rar - kpca实现,目前kpca最为简介的程序,算法实现简单
kpca.rar - 使用核PcA来识别图片,图片为200张测试图片,200张训练图片,包含在在压缩文件中。
KPCA_feature_extraction.rar - 别人的东西,有关KPCA特征提取的,看过了,很好很强大
kpca.rar - 运用KPCA方法在ORL人脸库上进行人脸识别,分类器为最近邻分类器。
kpca.rar - KPCA的matlab代码,经过验证,可以用的代码
kpca.rar - 核主成分分析算法KPCA 的matlab程序/代码 基于二维数据的。
KPCA.rar - A new method for performing a nonlinear form of Principal Component Analysis is proposed. By the use of integral operator kernel functions, one can eciently compute principal components in high{ dimensional feature spaces, related to input space by some nonlinear map for instance the space of all possible d{pixel products in images. We give the derivation of the method and present experimental results on polynomial feature extraction for pattern recognition
KPCA-FACE.rar - 采用KPCA方法的人脸识别算法,包含算法的matlab实现源码及相关测试、训练数据集
kpca.rar - kpca 用于人脸识别等的matlab源码
hippocampal-segmentation.rar - 阿尔茨海默病目前在临床上的诊断标准就是判断是否发生了海马体积上变异,该病的程度与海马体积的萎缩量有着密切的关系。 分水岭算法最大的缺陷是过分割问题比较严重,利用分水线处能量值最小的理论,可以调整分水岭算法获得的轮廓,限制过分割。
4Statistical-Features-.zip - 4功能诊断阿尔茨海默氏症……——红外Statistical-Features-Based-Diagnosis-of-Alzheimer s-Disease-using-MRI
alzheimers_classifier.zip - 基于马氏分类器的阿兹海默氏症分类器,课程练习
Alzhemier-Disease.rar - The basic hypothesis underlying this algorithm is that to apply Convolution Neural Network algorithm (CEA) effectively to detect the Alzheimer Disease

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