找回密码
 To register

QQ登录

只需一步,快速开始

扫一扫,访问微社区

Titlebook: Computer Recognition Systems 3; Marek Kurzynski,Michal Wozniak Book 2009 Springer-Verlag Berlin Heidelberg 2009 artificial intelligence.co

[复制链接]
楼主: 讨论小组
发表于 2025-3-28 16:38:59 | 显示全部楼层
发表于 2025-3-28 19:19:05 | 显示全部楼层
发表于 2025-3-29 01:38:41 | 显示全部楼层
Vehicles Recognition Using Fuzzy Descriptors of Image Segmentsion of vehicles recorded in image data. The description takes into account selected geometrical properties and shape coefficients determined for segments of reference image (vehicle model). The proposed method was implemented using reasoning system with fuzzy rules. A vehicles recognition algorithm
发表于 2025-3-29 05:00:14 | 显示全部楼层
发表于 2025-3-29 10:06:19 | 显示全部楼层
The Comparison of Normal Bayes and SVM Classifiers in the Context of Face Shape Recognitionation approaches have been used: the Normal Bayes Classifier, the Type 1 Linear Support Vector Machine (LSVM) and the type 2 LSVM with a soft margin. The influence of the shape extraction algorithm parameters on the classification efficiency has been investigated. The experiments were conducted on a
发表于 2025-3-29 11:55:04 | 显示全部楼层
Detection of Interest Points on 3D Data: Extending the Harris Operatored by the need of general, robust characterization of a complexity of the mesh fragment, to be used for mesh segmentation and description methods. We analyze the reasoning behind traditional Harris operator for 2D images [4] and propose several possible extensions to 3D data. We investigate their pe
发表于 2025-3-29 18:37:47 | 显示全部楼层
发表于 2025-3-29 21:35:14 | 显示全部楼层
A Comparison Framework for Spectrogram Track Detection Algorithmsks in spectrograms. There is no standard test database which is carefully tailored to test different aspects of an algorithm. This naturally hinders the ability to perform comparisons between a developing algorithm and those which exist in the literature. The method presented in this paper will allo
发表于 2025-3-30 00:11:59 | 显示全部楼层
发表于 2025-3-30 04:42:12 | 显示全部楼层
Morphological Analysis of Binary Scene in APR Integrated Environmenthe aim of the method is to find object on the scene and then to describe theirs basic features like edges, neighbors and surface [2]. The algorithm construction gives benefits in terms speed as well as to computation costs, at the same time being capable of presenting number of attributes values for
 关于派博传思  派博传思旗下网站  友情链接
派博传思介绍 公司地理位置 论文服务流程 影响因子官网 吾爱论文网 大讲堂 北京大学 Oxford Uni. Harvard Uni.
发展历史沿革 期刊点评 投稿经验总结 SCIENCEGARD IMPACTFACTOR 派博系数 清华大学 Yale Uni. Stanford Uni.
QQ|Archiver|手机版|小黑屋| 派博传思国际 ( 京公网安备110108008328) GMT+8, 2025-8-24 07:38
Copyright © 2001-2015 派博传思   京公网安备110108008328 版权所有 All rights reserved
快速回复 返回顶部 返回列表