机构

• 计算技术研究所 [1]
• 长春光学精密机械与物... [1]
• 数学与系统科学研究院 [1]
• 自动化研究所 [1]
• 沈阳自动化研究所 [1]
• 软件研究所 [1]
• 更多

采集方式

• OAI收割 [6]

内容类型

• 期刊论文 [4]
• 会议论文 [1]
• 学位论文 [1]

发表日期

• 2022 [1]
• 2017 [1]
• 2011 [1]
• 2010 [2]
• 2007 [1]

学科主题

筛选

浏览/检索结果: 共6条，第1-6条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 A Comprehensive Framework for Long-Tailed Learning via Pretraining and Normalization 期刊论文  OAI收割 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 13 作者:  Kang, Nan;  Chang, Hong;  Ma, Bingpeng;  Shan, Shiguang   |  收藏  |  浏览/下载：35/0  |  提交时间：2022/12/07 Training  Tail  Task analysis  Head  Visualization  Feature extraction  Data models  Classifier design  contrastive learning  long-tailed recognition  normalization   A survey for the applications of content-based microscopic image analysis in microorganism classification domains 期刊论文  OAI收割 Artificial Intelligence Review, 2017, 页码: 1-70 作者:  Li C(李晨);  Xu, Ning;  Wang K(王锴)   |  收藏  |  浏览/下载：21/0  |  提交时间：2017/08/20 Microorganism classification  Content-based microscopic image analysis  Feature extraction  Classifier design   Credit risk evaluation using a weighted least squares SVM classifier with design of experiment for parameter selection 期刊论文  OAI收割 EXPERT SYSTEMS WITH APPLICATIONS, 2011, 卷号: 38, 期号: 12, 页码: 15392-15399 作者:  Yu, Lean;  Yao, Xiao;  Wang, Shouyang;  Lai, K. K.   |  收藏  |  浏览/下载：11/0  |  提交时间：2018/07/30 Credit risk evaluation  Weighted LSSVM classifier  Least squares algorithm  Design of experiment  Parameter selection   虹膜图像预处理与特征分析 学位论文  OAI收割 工学博士, 中国科学院自动化研究所: 中国科学院研究生院, 2010 作者:  何召锋 收藏  |  浏览/下载：223/0  |  提交时间：2015/09/02 生物特征识别  虹膜识别  虹膜图像预处理  特征选择和分类器设计  Adaboost学习算法  Biometrics  iris recognition  iris image preprocessing  feature selection and classifier design  Adaboost learning   A new method of target recognition based on rough set and support vector machine (EI CONFERENCE) 会议论文  OAI收割 2nd International Conference on Image Analysis and Signal Processing, IASP'2010, April 12, 2010 - April 14, 2010, Xiamen, China 作者:  He X. 收藏  |  浏览/下载：18/0  |  提交时间：2013/03/25 Automatic target recognition (ATR) is an important task in image application. This paper concentrates on two key subroutines of ATR system: Pre-treatment and design of classifier. In the pre-treatment subroutine  a new method based on Rough Set (RS) is proposed to partition the original sample set into some subsets and calculate their class membership  so that some samples can be chosen by class membership to be trained. After pre-treatment  an iterative algorithm based on Rough Set and Support Vector Machines (IRSSVM) is introduced to design a classifier for recognizing two types of targets. The experiment results show that IRSSVM needs less training time and the classifier is simpler and has more generalization and higher recognition rate. 2010 IEEE.   Chinese character recognition: history, status and prospects 期刊论文  OAI收割 Frontiers of Computer Science in China, 2007, 卷号: 1, 期号: 2, 页码: 126-136 Dai Ruwei; Liu Chenglin; Xiao Baihua   |  收藏  |  浏览/下载：22/0  |  提交时间：2010/05/13 Chinese character recognition  pattern recognition  meta-synthesis  character preprocessing  feature extraction  feature transformation  classifier design  syntactic-semantic approach  multiple classifiers integration  feedback