Essays about: "point clustering"

Showing result 1 - 5 of 53 essays containing the words point clustering.

  1. 1. Domain Knowledge and Representation Learning for Centroid Initialization in Text Clustering with k-Means : An exploratory study

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

    Author : David Yu; [2023]
    Keywords : Natural language processing; Sentiment analysis; Clustering; Language model; Transformer; Heuristic; Språkteknologi; Sentimentanalys; Klustering; Språkmodell; Transformer; Heuristik;

    Abstract : Text clustering is a problem where texts are partitioned into homogeneous clusters, such as partitioning them based on their sentiment value. Two techniques to address the problem are representation learning, in particular language representation models, and clustering algorithms. READ MORE

  3. 2. Wind Turbine Recovery Forecasting using Survival Analysis

    University essay from Lunds universitet/Matematisk statistik

    Author : Anton Palets; [2023]
    Keywords : Survival analysis; Recovery Forecast; Wind Turbine; Availability Forecast; AFT model; Aalen s model; Cox regression; Cox Proportional Hazards; Variation Processes; Mathematics and Statistics;

    Abstract : The goal of this thesis is to present a methodology for predicting time until recovery of failed wind turbines. The necessity is motivated by the potential for more accurate wind energy export forecasts. The current approach rests entirely on having an expert examine the turbine and produce a time estimate. READ MORE

  4. 3. Clustering on groups for human tracking with 3D LiDAR

    University essay from Umeå universitet/Institutionen för datavetenskap

    Author : Simon Utterström; [2023]
    Keywords : Computer Vision; Computer Science; AI; Machine Learning; clustering; Kernel Density Clustering; tracking; LiDAR; 3D LiDAR; tracking; human; pedestrian; real time; Datavetenskap; Dataseende; clustering; SLR; CVC; KDEG; KDE; Kernel Density Clustering; HDBSCAN; DBSCAN; LiDAR; point cloud; tracking; human; pedestrian;

    Abstract : 3D LiDAR people detection and tracking applications rely on extracting individual people from the point cloud for reliable tracking. A recurring problem for these applications is under-segmentation caused by people standing close or interacting with each other, which in turn causes the system to lose tracking. READ MORE

  5. 4. Point clouds in the application of Bin Picking

    University essay from Linköpings universitet/Statistik och maskininlärning

    Author : Abhijeet Anand; [2023]
    Keywords : Point clouds; Computer vision; 3D instance segmentation; Point cloud registration; Deep learning; Clustering;

    Abstract : Automatic bin picking is a well-known problem in industrial automation and computer vision, where a robot picks an object from a bin and places it somewhere else. There is continuous ongoing research for many years to improve the contemporary solution. READ MORE

  6. 5. Humans in the loop - Mapping the current critical debate on AI in the Information Systems discipline

    University essay from Uppsala universitet/Institutionen för informatik och media

    Author : Wibke Hannah Du Rietz; [2023]
    Keywords : AI; algorithm; ethics; epistemology; metatheory; IS research; sociotechnical perspective; research paradigm; critical research; literature review; content analysis; thematic analysis; abduction; abductive approach; socioanalysis; Bourdieu;

    Abstract : AI is a phenomenon that does not only manifest itself as a disruptive technology, but also entails a paradigmatic shift with conceivably unprecedented and unforeseeable consequences for society and the human condition. This technology with its components Big Data and Machine Learning/algorithms has evoked critical reactions because of ethical concerns that follow on the backwash of its ubiquitous and ever more expanding use. READ MORE