搜索结果: 1-15 共查到“知识库 Semantic”相关记录65条 . 查询时间(0.109 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...
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...
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...
Exploring Semantic Inter-class Relationships (SIR) for Zero-shot Action Recognition
Exploring Semantic Inter-class Relationships Zero-shot Action Recognition
2016/1/22
Automatically recognizing a large number of action cat-egories from videos is of significant importance for video understanding. Most existing works focused on the design of more discriminative featur...
Semantic Information Extraction for Improved Word Embeddings
Semantic Information Extraction Improved Word Embeddings
2016/1/22
Word embeddings have recently proven useful in a number of different applications that deal with natural language. Such embeddings suc-cinctly reflect semantic similarities between words based on thei...
FrameBase: Representing N-ary Relations using Semantic Frames
FrameBase Representing N-ary Relations Semantic Frames
2016/1/22
Large-scale knowledge graphs such as those in the Linked Data cloud are typically represented as subject-predicate-object triples. However, many facts about the world involve more than two entities. W...
Robust Shape Fitting and Semantic Enrichment
Algorithms Classifi cation Geometry Knowledge Base Mathematics Point Cloud Reconstruction Registration
2015/11/13
A robust fitting and reconstruction algorithm has to cope with two major problems. First of all it has to be able to deal with noisy inputdata and outliers. Furthermore it should be capable of h...
Measuring Semantic Similarity by Latent Relational Analysis
analogies semantic relations vector space model noun-modifier expressions latent relational analysis
2015/7/31
This paper introduces Latent Relational Analysis (LRA), a method for measuring semantic similarity. LRA measures similarity in the semantic relations between two pairs of words. When two pairs have a ...