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Semantic mapping (statistics)

Known as: Semantic mapping 
Semantic mapping (SM) is a method in statistics for dimensionality reduction that can be used in a set of multidimensional vectors of features to… 
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Related topics

Related topics

5 relations
Cluster analysisData elementDimensionality reductionInformation retrieval

Papers overview

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Highly Cited
2017
Highly Cited
2017
Multi-view deep learning for consistent semantic mapping with RGB-D cameras
Visual scene understanding is an important capability that enables robots to purposefully act in their environment. In this paper… 
2017
2017
GLT: A Unified API for Lightweight Thread Libraries
In recent years, several lightweight thread (LWT) libraries have emerged to tackle exascale challenges. These offer programming… 
2015
2015
Semantic Mapping of Large-Scale Outdoor Scenes for Autonomous Off-Road Driving
Semantic mapping is a very active and growing research area, with important applications in indoor and outdoor robotic… 
Highly Cited
2015
Highly Cited
2015
Deep Semantic Mapping for Cross-Modal Retrieval
Cross-Modal mapping plays an essential role in multimedia information retrieval systems. However, most of existing work paid much… 
Highly Cited
2013
Highly Cited
2013
Dense real-time mapping of object-class semantics from RGB-D video
We propose a real-time approach to learn semantic maps from moving RGB-D cameras. Our method models geometry, appearance, and… 
2012
2012
Using Semantic Web Technologies to Facilitate XBRL-based Financial Data Comparability
The XML Business Reporting Language (XBRL) is a standard for business and financial reporting. Many institutions are making… 
2012
2012
A personalized recommendation system in E-Learning environment based on semantic analysis
The proposal of various electronic learning contents, e.g. remote education or virtual classrooms, has given a powerful impetus… 
2011
2011
Study on food safety emergency topic detection model based on semantics
A new method of self-adaptive emergency topic detection model based on semantics is proposed in this paper. We apply the CHI_LDA… 
Review
2006
Review
2006
Latent Semantic Mapping: Principles & Applications
Latent semantic mapping (LSM) is a generalization of latent semantic analysis (LSA), a paradigm originally developed to capture… 
2005
2005
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