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Jialin Li's Projects

apriori icon apriori

Python Implementation of Apriori Algorithm for finding Frequent sets and Association Rules

awesome-object-detection icon awesome-object-detection

Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

chorocolorread icon chorocolorread

This repo is to collect data, code and documents for Jialin's third dissertation project about reading spatial patterns of choropleth maps.

classifythematicmaps icon classifythematicmaps

This repository is used to classify thematic maps. The types are circle proportional symbol map, choropleth map, isarithmic maps and dot distribution map.

compcartorecognitionimages icon compcartorecognitionimages

This repo is used to share materials including map or nonmap images used in our paper to reviewers of AAG Annals.

compspatialpatternrecognition icon compspatialpatternrecognition

This repo is to publish the map images and code for our paper Computational Cartographic Recognition: Spatial Pattern Recognition.

compthemerecognition icon compthemerecognition

This repo is to publish the map images and code for our paper Computational Cartographic Recognition: Theme Recognition.

data icon data

Store data to be download from Google Colab

geovisualizatiofd icon geovisualizatiofd

This is the repository specifically for the final project of Geovisualization course

hackathon2019 icon hackathon2019

This project will use street view images to identify sidewalk and its surface quality in Columbus, Ohio

keras-gan icon keras-gan

Keras implementations of Generative Adversarial Networks.

mapelementdetection icon mapelementdetection

This repository is about map element detection. I would like to detect the legend area, title area and main map area on a choropleth map.

mappingareadetection icon mappingareadetection

This is a repo to train object detection model i.e., Mask RCNN to detect mapping areas in the maps

ml-final-project icon ml-final-project

This repository is for the final project of Machine Learning Course. The main task is to apply transfer learning in map identification and classification.

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