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Map regression

Map regression is the process of working backwards from later maps to earlier maps of the same area, to determine change or to locate past features.
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Related topics

Related topics

5 relations
CartographyCollaborative mappingGeodetic datumRaster graphics

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2020
2020
Cascaded Multi-Task Learning of Head Segmentation and Density Regression for RGBD Crowd Counting
In this paper we propose a novel regression based RGBD crowd counting method. Compared with previous RGBD crowd counting methods… 
2018
2018
Fully Convolutional Network for Crowd Size Estimation by Density Map and Counting Regression
To handle the customer distribution in the certain areas, crowd counting is necessary for such applications, which is a labor… 
2018
2018
Interpretable Verification of Visually Similar Vehicle Images Using Convolutional Networks
This paper presents a simple and effective method to verify similar vehicle images. In order to provide a meaningful… 
2018
2018
Improving Crowd Counting with Multi-Task Multi-Scale Convolutional Neural Network
Counting the number of person has received much attention in recent years. Most of the existing crowd counting methods adopted… 
2017
2017
Lost in the woods: The value of tree ensemble modelling for adult age-at-death estimation from skeletal degeneration
2013
2013
The Spatial Morphology of Oporto’s Urban Fringe
We investigate the formation processes of suburban street networks, through the analysis of five study areas at Oporto’s urban… 
2013
2013
Identifying the Landscape Impact of Enclosure using GIS-Aided Map Regression
2010
2010
Recognizing multiple objects based on co-occurrence of categories
Most previous methods for generic object recognition explicitly or implicitly assume that an image contains objects from a single… 
2009
2009
Recognizing Multiple Objects via Regression Incorporating the Co-occurrence of Categories
Most previous methods for generic object recognition explicitly or implicitly assume that an image contains objects from a single… 
2008
2008
Covering framework and primary direction neural network
Some widely used artificial neural networks such as BP, RBF and ARTMAP were discussed on the common points they shared when… 
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