资源列表
sa_svdd-master
- Libsvm is a simple, easy-to-use, and efficient software for SVM classification and regression. It solves C-SVM classification, nu-SVM classification, one-class-SVM, epsilon-SVM regression, and nu-SVM regression. It also provides an automatic model
short_energy
- 语音信号的短时能量求取MATLAB代码，语音信号分析的基础教程(MATLAB code for short time energy of speech signal and a basic course for speech signal analysis)
FastSVDD-master
- mplementation of Fast Support Vector Data Descr iption (http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5510185), as a part of the Kernel Methods for Pattern Analysis course.
高大上欧美风商务PPT模板
- 全数组，可自动增长大小（随机访问，但扩充时效率低） linkedlist.h： 普通链表（可随机访问好(Full array, an automatic linkedlist.h: list (random access, but low efficiency).)
时尚全图型个人简历PPT模板
- 遍历的效率都比普通链表高） hashtable.h： 哈希表（使用键值标识元素，键值一样的元素即认为相等，需重载好(The efficiency of ergodicity is higher than the common chain table) hashtable.h: hash table (using key values to identify elements, the elements of the same key are considered equal and need t
short_zero_crossing_rate
- 语音信号的短时过零率求取，此过程为语音信号的一个重要特征提取过程，可用于端点检测等过程。(This process is an important feature extraction process for speech signals and can be used for endpoint detection and other processes.)
deepSVDD-master
- A deep one-class classification based method for the task of high-dimensional anomaly detection for large-scale applications. This repository includes the code for the experiments carried out for the Master’s Thesis “Deep Support Vector Data Descr
Report Free Gibbs Energy.synctex
- bhjbguhdrtsdufviyfgyuftfu
SVM-w-SMO-master
- Simple implementation of a Support Vector Machine using the Sequential Minimal Optimization (SMO) algorithm for training.
double_threshold
- 传统的语音信号双门限端点检测算法，适用于高信噪比，低信噪比不适用。(The traditional double threshold detection algorithm for speech signal is suitable for high signal to noise ratio and low signal to noise ratio.)
DE
- 改进的de算法，可以调用外部函数，对变量可以有所约束(improved DE algorithm The external function can be called, which can be restricted to the variable)