Sökning: "Hedvig Kjellström"

Hittade 5 avhandlingar innehållade orden Hedvig Kjellström.

  1. 1. Learning Spatiotemporal Features in Low-Data and Fine-Grained Action Recognition with an Application to Equine Pain Behavior

    Författare :Sofia Broomé; Hedvig Kjellström; Efstratios Gavves; KTH; []
    Nyckelord :ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Equine pain; computer vision for animals; deep learning; deep video models; spatiotemporal features; video understanding; action recognition; frame dependency; video data; end-to-end learning; temporal modeling; Datalogi; Computer Science;

    Sammanfattning : Recognition of pain in animals is important because pain compromises animal welfare and can be a manifestation of disease. This is a difficult task for veterinarians and caretakers, partly because horses, being prey animals, display subtle pain behavior, and because they cannot verbalize their pain. LÄS MER

  2. 2. Developing and evaluating co-speech gesture-synthesis models for embodied conversational agents

    Författare :Taras Kucherenko; Hedvig Kjellström; Gustav Eje Henter; Iolanda Leite; Jonas Beskow; Stefan Kopp; KTH; []
    Nyckelord :NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; Human-agent interaction; gesture generation; social robotics; conversational agents; non-verbal behavior; deep learning; machine learning; Computer Science; Datalogi;

    Sammanfattning :  A  large part of our communication is non-verbal:   humans use non-verbal behaviors to express various aspects of our state or intent.  Embodied artificial agents, such as virtual avatars or robots, should also use non-verbal behavior for efficient and pleasant interaction. LÄS MER

  3. 3. Action Recognition for Robot Learning

    Författare :Alessandro Pieropan; Kjellström Hedvig; Markus Vinkze; KTH; []
    Nyckelord :NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; Computer Science; Datalogi;

    Sammanfattning : This thesis builds on the observation that robots cannot be programmed to handle any possible situation in the world. Like humans, they need mechanisms to deal with previously unseen situations and unknown objects. One of the skills humans rely on to deal with the unknown is the ability to learn by observing others. LÄS MER

  4. 4. Structured Representation Using Latent Variable Models

    Författare :Cheng Zhang; Hedvig Kjellström; Jordan Boyd-Graber; KTH; []
    Nyckelord :ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; Computer Science; Datalogi;

    Sammanfattning : Over the past two centuries the industrial revolution automated a great part of work that involved human muscles. Recently, since the beginning of the 21st century, the focus has shifted towards automating work that is involving our brain to further improve our lives. LÄS MER

  5. 5. Evaluating credal set theory as a belief framework in high-level information fusion for automated decision-making

    Författare :Alexander Karlsson; Sten F. Andler; Ronnie Johansson; Lars Karlsson; Galina Rogova; Örebro universitet; []
    Nyckelord :NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; High-level information fusion; belief framework; credal set theory; Bayesian theory; Computer science; Datavetenskap; TECHNOLOGY; TEKNIKVETENSKAP; Information technology; Informationsteknik; Computer and Systems Science; Datalogi; Teknik; Technology;

    Sammanfattning : High-level information fusion is a research field in which methods for achieving an overall understanding of the current situation in an environment of interest are studied. The ultimate goal of these methods is to provide effective decision-support for human or automated decision-making. LÄS MER