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Found 9 papers, 1 papers with code
Discovering the Effectiveness of Pre-Training in a Large-scale Car-sharing Platform
Recent progress of deep learning has empowered various intelligent transportation applications, especially in car-sharing platforms.
Towards an Efficient ML System: Unveiling a Trade-off between Task Accuracy and Engineering Efficiency in a Large-scale Car Sharing Platform
Under various image recognition tasks in the real world car-sharing platform, our study illustrates how we established the proposed system and lessons learned from this journey as follows.
Deep Dense Local Feature Matching and Vehicle Removal for Indoor Visual Localization
In this paper, we propose a visual localization framework that robustly finds the match for a query among the images collected from indoor parking lots.
Unsupervised Driver Behavior Profiling leveraging Recurrent Neural Networks
As a result, our model yields high regression error given a sequence of aggressive driver behavior and low error given at a sequence of normal driver behavior.
Understand Watchdogs: Discover How Game Bot Get Discovered
This provides us explanations about the game bots' behavior, and the truthfulness of the explanations has been evaluated.
Unsupervised Intrusion Detection System for Unmanned Aerial Vehicle with Less Labeling Effort
As unsupervised learning does not require labeling, our model let the practitioner not to label every type of attack from the flight data.
This Car is Mine!: Automobile Theft Countermeasure Leveraging Driver Identification with Generative Adversarial Networks
GAN has merit to build identification model by learning the owner driver's data only.
Automobile Theft Detection by Clustering Owner Driver Data
We cluster the key features of the owner driving data using the k-means algorithm.
Show Me Your Account: Detecting MMORPG Game Bot Leveraging Financial Analysis with LSTM
To overcome this limitation, we propose improved bot detection method with financial analysis.
