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facedetection
Abstract—In this paper, a new lossy technique based on wavelet
transform for compression of breast ultrasound images is
presented. The experiments are performed on 16 different
wavelet functions and the quality of reconstructed images is
evaluated by using Compression Ratio (CR), Normalized Mean
Square Error (NMSE), Normalized Absolute Error (NAE), and
Peak Signal to Noise Ratio (PSNR) criterion. An
ultrasonographer performed the subjective assessment. This
study shows that among the utilized wavelets,
- 2014-01-07 11:24:59下载
- 积分:1
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harrisgai
基于harris 的图像角点提取,并做改进,限制小区域内最多特征点数量(feature extraction by harris)
- 2013-03-07 21:00:01下载
- 积分:1
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fast-matlab-src
这是用matlab编写的fast算法,这是一种速度非常快的角点检测方法,实时性很强。(binary descriptor)
- 2014-12-19 12:48:05下载
- 积分:1
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METHODFBP
fbp算法是一种新的高效的SAR成像算法,对传统算法有很好的适应性(fbp algorithm is a new and efficient SAR imaging algorithm, the traditional algorithm has good adaptability)
- 2013-10-22 11:18:09下载
- 积分:1
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Breimans-randomForest-
随机森林提出者的算法,matlab版本,有例子(Random Forest algorithm author, matlab version, there are examples)
- 2020-12-15 21:49:20下载
- 积分:1
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codebook
code book parameters of lifting
- 2009-12-19 02:46:29下载
- 积分:1
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MATLAB5.3usermanual
MATLAB5.3精彩编程与高级应用详细的介绍matlab的功能(MATLAB5.3 exciting programming and advanced applications in detail the function of matlab)
- 2008-07-30 10:49:55下载
- 积分:1
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dwt
image processing random complex wavelet code for all
- 2013-05-07 20:59:59下载
- 积分:1
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recognition
本实验语音库为免费的柏林情感语音库,其采样频率为16KHZ,16bit量化。该语音库共有500 句情感语音信号,分别由十名专业演员(5 男,5 女)在不同情感状态下(高兴、愤怒、平静、悲伤、害怕、厌烦、憎恨)朗读十句不同文本的德语组成。本实验选取其中的部分情感(高兴、愤怒、悲伤)加以识别。仿真实验环境为MATLAB7.0。
实验选取的情感特征为短时平均能量、短时平均幅度、基频和短时过零率。为了降低不同人在表达不同情感时的个人差异造成的影响,本文实验过程中将提取的情感特征进行归一化处理。归一化采取将同一个人的三种情感语音信号的情感特征放在一起归一化处理,并将归一化后的情感特征作为KNN分类器的训练样本和测试样本。
该实验使用了传统的KNN算法和改进算法两种识别方式,通过实验结果对比了各自的特点。
(This experiment YuYinKu for free Berlin YuYinKu emotion, the sampling frequency for 16 KHZ, 16 bit quantification. The YuYinKu 500 words of emotional speech signal, respectively by ten professional actors (5 male, five female) in different emotional state (happy, anger, sadness, fear, calm, bored, hate) read ten sentences in different text of the German. This experiment selection of part of the emotions (joy, anger, sadness) is recognized. The simulation experiment environment for MATLAB7.0.
The selection of emotional characteristics for short-term average energy, short-term average amplitude, frequency, and the short zero rate. In order to reduce the different people in different emotional expression of the impact of individual differences, the experiment process will extract emotional characteristics is normalized. The normalized will take the same three kind of emotional speech signal emotional features normalized put together, and after the normalized the emotional characteristics)
- 2012-03-06 11:30:54下载
- 积分:1
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test-data-for-01-knapscap-problem
这个是用于01背包问题的测试数据,很多论文都用这其中的数据集来测试(This is a knapsack problem for the 01 test data, a lot of papers with which the data set to test)
- 2011-10-25 19:51:23下载
- 积分:1