搜索结果: 1-15 共查到“Semantic”相关记录70条 . 查询时间(0.09 秒)
THE VALUE OF KNOWLEDGE THROUGH H-BIM MODELS: HISTORIC DOCUMENTATION WITH A SEMANTIC APPROACH
3D Modelling Data Modeling HBIM Paradata Documentation CIDOC-CRM
2019/3/4
The Building Information Modeling (BIM) in the Architectural Heritage field is constantly proving to be a fertile ground for the experimentation of innovative systems for the enhancement and managemen...
POINT CLOUD SEGMENTATION AND SEMANTIC ANNOTATION AIDED BY GIS DATA FOR HERITAGE COMPLEXES
Point Cloud Segmentation Semantic GIS Heritage Complex Automation
2019/3/4
Point cloud segmentation is an important first step in categorising a raw point cloud data. This step is necessary in order to better manage the data and generate other derivative products, e.g. 3D GI...
ORTHOSEG: A DEEP MULTIMODAL CONVOLUTONAL NEURAL NETWORK ARCHITECTURE FOR SEMANTIC SEGMENTATION OF ORTHOIMAGERY
Deep Learning Supervised Image Segmentation Residual Networks
2019/2/28
This paper addresses the task of semantic segmentation of orthoimagery using multimodal data e.g. optical RGB, infrared and digital surface model. We propose a deep convolutional neural network archit...
SEMANTIC MODELING OF UTILITY NETWORKS IMPLEMENTATION OF USE CASES FOR DEHRADUN CITY
OGC CityGML data model Utility Network ADE data storage utility infrastructure use cases
2019/2/27
The current on-going boom in the field of Building Information Modeling (BIM) and 3D GIS is widely being explored for vast urban related applications, analyses and simulations. Large amount of 3D city...
INVESTIGATING INTEROPERABILITY CAPABILITIES BETWEEN IFC AND CITYGML LOD 4 – RETAINING SEMANTIC INFORMATION
CityGML IFC 3D Model BIM GIS Data Integration FME
2018/11/9
Applications of 3D City Models range from assessing the potential output of solar panels across a city to determining the best location for 5G mobile phone masts. While in the past these models were n...
SEMANTIC SEGMENTATION AND UNREGISTERED BUILDING DETECTION FROM UAV IMAGES USING A DECONVOLUTIONAL NETWORK
Deep learning UAV image segmentation building detection illegal buildings
2018/6/4
Detecting unregistered buildings from aerial images is an important task for urban management such as inspection of illegal buildings in green belt or update of GIS database. Moreover, the data acquis...
SEMANTIC SEGMENTATION OF BUILDING ELEMENTS USING POINT CLOUD HASHING
semantic segmentation hashing Orthodox church point clouds
2018/6/4
For the interpretation of point clouds, the semantic definition of extracted segments from point clouds or images is a common problem. Usually, the semantic of geometrical pre-segmented point cloud el...
2017第二届国际企业大数据语义与分析建模研讨会（2nd International Workshop on Enterprise Big Data Semantic and Analytics Modeling）
2017 第二届 国际企业 大数据 语义 分析 建模 研讨会
2017/11/27
While big data has been a topic of research and industry activity, much of it has been focused on unstructured data such as web logs, web crawl data, and social media data. One area which has received...
LESION DETECTION IN CT IMAGES USING DEEP LEARNING SEMANTIC SEGMENTATION TECHNIQUE
Deep Neural Networks Convolutional Neural Networks Semantic Segmentation Chest Radiography Tuberculosis
2017/6/19
In this paper, the problem of automatic detection of tuberculosis lesion on 3D lung CT images is considered as a benchmark for testing out algorithms based on a modern concept of Deep Learning. For tr...
第8届国际语义Web数据工程研讨会（8th International Workshop on Data Engineering Meets the Semantic Web）(DESWeb)
第8届 国际语义Web数据工程 研讨会
2017/3/30
The DESWeb workshop on "Data Engineering meets the Semantic Web" aims at bridging the gap between the recent advent of Semantic Web technologies and the well-established database techniques. As it has...
第一届国际机器人医疗设备和语义系统研讨会（The First International Workshop on Robotic Medical Devices and Semantic Systems ）
第一届 国际机器人医疗设备 语义系统 研讨会
2017/2/15
Medical robotics includes a number of devices used for surgery, medical training, rehabilitation therapy, prosthetics, and assisting people with disabilities. Nowadays, robotic devices are used to rep...
While many traditional robots are limited by a predefined set of alternatives for interactions and collaborations, one of the challenging goals in robotics and computer science is to build future robo...
Static Error Detection Using Semantic Inconsistency Inference
Static analysis error detection satisfiability inconsistency
2016/5/24
Inconsistency checking is a method for detecting software errors that relies only on examining multiple uses of a value. We propose that inconsistency inference is best understood as a variant of the ...
Safe-A Semantic Technique for Transforming Programs in the Presence of Errors
equational reasoning exceptions program optimization program transformation
2016/5/24
Language designers and implementors have avoided specifying and preserving the meaning of programs that produce errors. This is apparently because being forced to preserve error behavior severely limi...
Neuroimaging reveals detailed semantic maps across human cerebral cortex
Neuroimaging semantic maps human cerebral cortex
2016/5/6
Here in the functional MRI room at the University of California, Berkeley, it's story time. All in all, getting a brain scan for this project isn't a bad gig -- just kick back, listen to some stories ...