ITERATED

作品数：137被引量：159H指数：7
导出分析报告
相关领域：自动化与计算机技术理学更多>>
相关作者：张伟年张雅绮林杞楠郭继昌更多>>
相关机构：中国科学院成都分院中山大学天津大学更多>>
相关期刊：更多>>
相关基金：国家自然科学基金国家教育部博士点基金教育部留学回国人员科研启动基金广东省自然科学基金更多>>
-
在结果中检索

检索结果分析

结果分析中...
选择条件：
  • 主题=CONDITIONALx
共 条 记 录，以下是1-4
全选清除导出
参考文献引证文献引用追踪
视图：
排序：
Continuous Probabilistic SLAM Solved via Iterated Conditional Modes被引量：2
《International Journal of Automation and computing》2019年第6期838-850,共13页J.Gimenez A.Amicarelli J.M.Toibero F.di Sciascio R.Carelli 
Argentinean National Council for Scientific Research (CONICET);the National University of San Juan (UNSJ) of Argentina;NVIDIA Corporation for their support
This article proposes a simultaneous localization and mapping(SLAM) version with continuous probabilistic mapping(CPSLAM), i.e., an algorithm of simultaneous localization and mapping that avoids the use of grids, and ...
关键词：PROBABILISTIC simultaneous localization and mapping(SLAM) dynamic obstacles Markov random fields(MRF) ITERATED CONDITIONAL modes(ICM) kernel estimator 
Iterated Conditional Modes to Solve Simultaneous Localization and Mapping in Markov Random Fields Context被引量：3
《International Journal of Automation and computing》2018年第3期310-324,共15页J.Gimenez A.Amicarelli J.M.Toibero F.di Sciascio R.Carelli 
supported by the National Council for Scientific and Technological Research(CONICET);the National University of San Juan(UNSJ)
This paper models the complex simultaneous localization and mapping（SLAM） problem through a very flexible Markov random field and then solves it by using the iterated conditional modes algorithm. Markovian models al...
关键词：Simultaneous localization and mapping Markov random fields iterated conditional modes modelling on-line solver. 
CLOUD IMAGE DETECTION BASED ON MARKOV RANDOM FIELD被引量：1
《Journal of Electronics(China)》2012年第3期262-270,共9页Xu Xuemei Guo Yuanwei Wang Zhenfei 
Supported by the National Natural Science Foundation of China (No. 61172047)
In order to overcome the disadvantages of low accuracy rate, high complexity and poor robustness to image noise in many traditional algorithms of cloud image detection, this paper proposed a novel algorithm on the bas...
关键词：Cloud image detection Markov Random Field (MRF) Belief Propagation (BP) Iterated Conditional Modes (ICM) 
MRF model and FRAME model-based unsupervised image segmentation被引量：4
《Science in China(Series F)》2004年第6期697-705,共9页CHENGBing WANGYing ZHENGNanning JIAXinchun 
This paper presents a method for unsupervised segmentation of images consisting of multiple textures. The images under study are modeled by a proposed hierarchical random field model, which has two layers. The first l...
关键词：image segmentation Markov random field FRAME model Maximum a Posterior estimation iterated conditional modes. 
全选清除导出
共1页<1>
检索报告 对象比较 聚类工具 使用帮助 返回顶部