Essays about: "Point Set Processing"

Showing result 16 - 20 of 71 essays containing the words Point Set Processing.

  1. 16. Machine Learning for LiDAR-SLAM : In Forest Terrains

    University essay from Linköpings universitet/Datorseende

    Author : Anton Hjert; [2021]
    Keywords : SLAM; Point set registration; Scan correction; Simultaneous localization and mapping; AdaBound;

    Abstract : Point set registration is a well-researched yet still not a very exploited area in computer vision. As the field of machine learning grows, the possibilities of application expand. READ MORE

  3. 17. AI in Public Service: Stakeholder Framing of Implementing Robotized Process Automation in Financial Aid in Swedish Municipalities.

    University essay from Lunds universitet/Statsvetenskapliga institutionen

    Author : Jesper Olsson; [2021]
    Keywords : AI; RPA; technological frames; Trelleborg-model; Financial Aid; Digitization; Administration.; Law and Political Science;

    Abstract : Artificial Intelligence has become a hot topic as improvements in available technologies previously considered science fiction, like image recognition, language processing, and self-driving vehicles, are becoming financially viable. Further, several studies point to how automation of processes will increase efficiency in a variety of white-collar sectors. READ MORE

  4. 18. Bootstrapping Annotated Job Ads using Named Entity Recognition and Swedish Language Models

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Anna Nyqvist; [2021]
    Keywords : labour market; named entity recognition; natural language processing; BERT; data annotation; inter-annotator agreement; arbetsmarknad; namngiven entitetsigenkänning; naturlig språkbehandling; BERT; dataannotering; interannoterar-överenskommelse;

    Abstract : Named entity recognition (NER) is a task that concerns detecting and categorising certain information in text. A promising approach for NER that recently has emerged is fine-tuning Transformer-based language models for this specific task. However, these models may require a relatively large quantity of labelled data to perform well. READ MORE

  5. 19. Important criteria when choosing a conversational AI platform for enterprises

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Adam Lilja; Max Kihlborg; [2020]
    Keywords : Conversational Artificial Intelligence Conversational AI ; Chatbot; User Interface; User Experience; Machine Learning; Natural Language Processing; Artificial Intelligence; Evaluation; AI;

    Abstract : This paper evaluates and analyzes three conversational AI-platforms; Dialogflow (Google), Watson Assistant (IBM) and Teneo (Artificial Solutions) on how they perform based on a set of criteria; pricing model, ease-of-use, efficiency, experience working in the software and what results to expect from each platform. The main focus was to investigate the platforms in order to acquire an understanding of which platform would best be suited for enterprises. READ MORE

  6. 20. Real-time forecasting of dietary habits and user health using Federated Learning with privacy guarantees

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Sonia-Florina Horchidan; [2020]
    Keywords : Federated Learning; Time Series Forecasting; Clustering; Pattern Matching; Real-time Data Processing; Differential Privacy; Data Privacy.; Federerade Lärande; Tidsseriesprognos; Klustergruppering; Mönstermatchning; Realtidshantering av data; Differentialintegritet; Dataintegritet;

    Abstract : Modern health self-monitoring devices and applications, such as Fitbit and MyFitnessPal, empower users to take concrete actions and set fitness and lifestyle goals based on their recorded trends and statistics. Predicting such trends is beneficial in the road of achieving long-time targets, as the individuals can adjust their diets and habits at any point to guarantee success. READ MORE