机构

• 地理科学与资源研究所 [2]
• 广州地球化学研究所 [1]
• 长春光学精密机械与物... [1]
• 自动化研究所 [1]

采集方式

• OAI收割 [5]

内容类型

• 期刊论文 [3]
• SCI/SSCI论文 [1]
• 会议论文 [1]

发表日期

• 2024 [1]
• 2021 [1]
• 2014 [2]
• 2010 [1]

学科主题

筛选

浏览/检索结果: 共5条，第1-5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 Multi-task machine learning models for simultaneous prediction of tissue-to-blood partition coefficients of chemicals in mammals 期刊论文  OAI收割 ENVIRONMENTAL RESEARCH, 2024, 卷号: 241, 页码: 8 作者:  Zhang, Shuying;  Luo, Xiaojun;  Mai, Bixian   |  收藏  |  浏览/下载：10/0  |  提交时间：2024/09/12 Risk assessment  Applicability domain  Artificial neural network  Tissue-to-blood partition coefficient  Multi-task learning  Random forest   SSAP: Single-Shot Instance Segmentation With Affinity Pyramid 期刊论文  OAI收割 IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2021, 卷号: 31, 期号: 2, 页码: 661-673 作者:  Gao, Naiyu;  Shan, Yanhu;  Wang, Yupei;  Zhao, Xin;  Huang, Kaiqi   |  收藏  |  浏览/下载：40/0  |  提交时间：2021/03/29 Semantics  Image segmentation  Training  Proposals  Task analysis  Automation  Predictive models  Instance segmentation  affinity pyramid  feature pyramid  single-shot  graph partition   OPTIMIZATION APPROACHES TO MPI AND AREA MERGING-BASED PARALLEL BUFFER ALGORITHM 期刊论文  OAI收割 Boletim De Ciencias Geodesicas, 2014, 卷号: 20, 期号: 2, 页码: 237-256 Fan J. F.; Ji M.; Gu G. M.; Sun Y. 收藏  |  浏览/下载：49/0  |  提交时间：2014/12/24 Area Merging  Parallel Buffer  Task Partition  Vertex Accumulation  Effect  Tree-like Merging  MPI  gis operations   DWSI: AN APPROACH TO SOLVING THE POLYGON INTERSECTION-SPREADING PROBLEM WITH A PARALLEL UNION ALGORITHM AT THE FEATURE LAYER LEVEL SCI/SSCI论文  OAI收割 2014 作者:  Ma T. 收藏  |  浏览/下载：17/0  |  提交时间：2014/12/24 Dual-way Seeds Indexing Method  Polygon Intersect-spreading  Parallel  Union  Task Partition  software  trees  gis   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.