Classifier相关论文
针对Canny边缘检测算法中通过固定的高低阈值而产生边缘的方法调参繁琐且有边缘间断或伪边缘的问题, 文章基于边缘特征的AdaBoost......
Network traffic classification aims at identifying the application types of network packets.It is important for Internet......
A novel method is presented to improve the recognition rate of warhead in this paper. Firstly, a tool for electromagneti......
Considering that real communication signals corrupted by noise are generally nonstationary, and time-frequency distribut......
In this article,a new effective method of cooperative modulation recognition (CMR) is proposed to recognize different mo......
This paper proposes the word order of the noun phrases in Qinzhou Zhuang and presents the c-/f-structures of classifier ......
Classification of intrusion attacks and normal network flow is a critical and challenging issue in network security stud......
【Abstract】As the main communication method， business English correspondence takes the critical role of written evidence......
Two image denoising approaches based on wavelet neural network (WNN) optimized by particle swarm optimization (PSO) are ......
Radar high-resolution range profile(HRRP) has received intensive attention from the radar automatic target recognition(R......
In this letter,Constructive Neural Networks (CNN) is used in large-scale data mining. By introducing the principle and c......
Based on satellite remote sensing TM/ETM+ images of Xuzhou city,land use forms of the city in 1987,1994 and 2000 were ex......
Support vector classifier (SVC) has the superior advantages for small sample learning problems with high dimensions, wit......
Multiscale classification has potential advantages for monitoring industrial processes generally driven by events in dif......
Classification can be regarded as dividing the data space into decision regions separated by decision boundaries.In this......
To solve the multi-class fault diagnosis tasks, decision tree support vector machine (DTSVM), which combines SVM and dec......
On the basis of scale invariant feature transform(SIFT) descriptors,a novel kind of local invariants based on SIFT seque......
Domain adaptation learning(DAL) methods have shown promising results by utilizing labeled samples from the source(or aux......
Intrusion detection system(IDS) is becoming a critical component of network security. However,the performance of many pr......
A new method based on principal component analysis (PCA) and support vector machines (SVMs) is proposed for fault diagno......
Induction of classification rules based on rough sets and neural networks has been an active research area in the field ......
将遗传算法和神经网络结合应用于乳腺癌细胞分类,首先利用遗传算法随机提取训练集的属性特征,然后用提取特征后的训练集训练神经网......
在线社交网络中的Sybil账号日益猖獗,他们会制造各种恶意活动,这些严重危害到了社交网络和用户的安全.针对Sybil账号检测这个问题,......
提出了一种基于特征的错误式学习分类器半自动迭代训练方法,该分类器能够自动识别多角度低空影像上的人行横道线,在人行横道线管控......
研究人工神经网络用于战场目标分类的能力和结果.根据战场目标的声与震动特性,采用相应的测试系统和分析系统,对战场典型目标装甲......
Enhancement of energy efficiency for mechanical production of fine and ultra-fine particles in commi
This paper presents the energy requirements for mechanical production of fine and ultra-fine particles in comminution. R......
Numerous models have been proposed to reduce the classification error of Na(i)ve Bayes by weakening its attribute indepe......
针对传统的电网工程数据识别与检测严重依赖人工核算,实时性和准确性难以得到保证的问题。为准确、高效地识别电网工程的异常数据,......
