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AMAP

Application of Machine Learning in Start-point Road Tracking of AMAP

This article outlines how to improve the accuracy of start-point road tracking of AMAP, and focuses on the exploration and practice of introducing machine learning algorithms.

Systematic Solution for Android Native Memory Leak

This article describes how AMAP's technical team has developed a unique solution to address memory leak challenges in order to ensure the quality of their android app.

Application of Machine Learning in Traffic Sign Detection and Fine-grained Classification

This article describes the application of machine learning in map data generation and traffic sign recognition for AMAP.

Model Optimization: Application of Machine Learning to AMAP's Suggestion Service

This article describes the specific application of machine learning for the AMAP suggestion service, particularly the attempts at model optimization.

Reinventing Your Business with New Retail Roadshow and Booth Solutions

This article will address how new retail methodology and technology can be applied to a retail booth, or pop-up store scenario.