Sökning: "Data labeling"

Visar resultat 1 - 5 av 87 avhandlingar innehållade orden Data labeling.

1. 1. Opportunities, Challenges and Solutions for Automatic Labeling of Data Using Machine Learning

   Författare :Teodor Fredriksson; Chalmers tekniska högskola; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Active Learning; Data Labeling; Software Engineering; Semi-Supervised Learning;

   Sammanfattning : Context: Supervised learning is the most common machine learning paradigm and requires labeled data. Because much data in the industry is unlabeled, data labeling is an essential step in the data preparation process. LÄS MER

3. 2. Human mobility behavior : Transport mode detection by GPS data

   Författare :Paria Sadeghian; Johan Håkansson; Xiaoyun Zhao; Kenneth Carling; Gyözö Gidofalvi; Högskolan Dalarna; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; Transport mode detection; Machine learning; Statistical learning; Rule-based method; Data labeling;

   Sammanfattning : GPS tracking data are widely used to understand human travel behavior and to evaluate the impact of travel. A major advantage with the usage of GPS tracking devices for collecting data is that it enables the researcher to collect large amounts of highly accurate and detailed human mobility data. LÄS MER

4. 3. Clustering Techniques for Mining and Analysis of Evolving Data

   Författare :Vishnu Manasa Devagiri; Veselka Boeva; Niklas Lavesson; Sindri Magnússon; Blekinge Tekniska Högskola; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Clustering analysis; Concept drift; Evolutionary clustering; Machine learning; Streaming data; Computer Science; Datavetenskap;

   Sammanfattning : The amount of data generated is on rise due to increased demand for fields like IoT, smart monitoring applications, etc. Data generated through such systems have many distinct characteristics like continuous data generation, evolutionary, multi-source nature, and heterogeneity. LÄS MER

5. 4. Image Processing Architectures for Binary Morphology and Labeling

   Författare :Hugo Hedberg; Institutionen för elektro- och informationsteknik; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; labeling; binary image processing; morphology; Hardware architectures; real-time;

   Sammanfattning : Conventional surveillance systems are omnipresent and most are still based on analog techniques. Migrating to the digital domain grants access to the world of digital image processing enabling automation of such systems, which means extracting information from the image stream without human interaction. LÄS MER

7. 5. Principled Flow Tracking in IoT and Low-Level Applications

   Författare :Iulia Bastys; Chalmers tekniska högskola; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; WebAssembly apps; automatic labeling; IoT apps; enforcement granularity; design principles; information-flow control; language-based security;

   Sammanfattning : Significant fractions of our lives are spent digitally, connected to and dependent on Internet-based applications, be it through the Web, mobile, or IoT. All such applications have access to and are entrusted with private user data, such as location, photos, browsing habits, private feed from social networks, or bank details. LÄS MER