首页> 外文OA文献 >A Novel Handwritten Digits Recognition Method based on Subclass Low Variances Guided Support Vector Machine

【2h】

A Novel Handwritten Digits Recognition Method based on Subclass Low Variances Guided Support Vector Machine

机译：一种基于子类低差异的新型手写数字识别方法引导支持向量机

代理获取

本网站仅为用户提供外文OA文献查询和代理获取服务，本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文，但由于OA文献来源多样且变更频繁，仍可能出现获取不到、文献不完整或与标题不符等情况，如果获取不到我们将提供退款服务。请知悉。

页面导航

著录项
引文网络
相似文献
相关主题

著录项

作者
Soumaya Nheri; Riadh Ksantini; Mouhamed Bécha Kaâniche; Adel Bouhoula;
展开▼
作者单位

展开▼
年度 2018
总页数
原文格式 PDF
正文语种
中图分类

相似文献

外文文献
中文文献
专利

1. Persian Handwritten Digit Recognition Using Combination of Convolutional Neural Network and Support Vector Machine Methods [J] . Parseh Mohammad, Rahmanimanesh Mohammad, Keshavarzi Parviz The international arab journal of information technology . 2020,第4期

机译：波斯手写的数字识别使用卷积神经网络的组合和支持向量机方法
2. Online Kinect Handwritten Digit Recognition Based on Dynamic Time Warping and Support Vector Machine [J] . Chengzhang Qu, Dengyi Zhang, Jing Tian Journal of information and computational science . 2015,第1期

机译：基于动态时间规整和支持向量机的在线Kinect手写数字识别
3. Fuzzy-based multi-kernel spherical support vector machine for effective handwritten character recognition [J] . A K SAMPATH, N GOMATHI Sadhana . 2017,第9期

机译：基于模糊的多核球形支持向量机用于有效手写字符识别
4. A Novel Handwritten Digits Recognition Method based on Subclass Low Variances Guided Support Vector Machine [C] . Soumaya Nheri, Riadh Ksantini, Mohamed Becha Kaaniche, International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications . 2018

机译：一种基于子类低差异的新型手写数字识别方法引导支持向量机
5. Driver Lane Change Intention Recognition by Using Entropy-Based Fusion Techniques and Support Vector Machine Learning Strategy. [D] . Huang, Xianyi. 2013

机译：使用基于熵的融合技术和支持向量机学习策略，对驾驶员车道变化意图进行识别。
6. Fast Simple and Accurate Handwritten Digit Classification by Training Shallow Neural Network Classifiers with the ‘Extreme Learning Machine’ Algorithm [O] . Mark D. McDonnell, Migel D. Tissera, Tony Vladusich, -1

机译：通过使用极限学习机算法训练浅层神经网络分类器实现快速简单和准确的手写数字分类
7. 139 HANDWRITTEN DIGIT RECOGNITION BY COMBINING SUPPORT VECTOR MACHINES USING RULE-BASED REASONING [O] . Dejan Gorgevik, Dusan Cakmakov, Vladimir Radevski 2014

机译：139通过基于规则的推理结合支持向量机来进行手写数字识别

A Novel Handwritten Digits Recognition Method based on Subclass Low Variances Guided Support Vector Machine

著录项

引文网络

相似文献

相关主题

期刊订阅