A database for publications published by researchers and students at SimulaMet.
Research area
Publication type
- All (644)
- Journal articles (156)
- Books (7)
- Edited books (1)
- Proceedings, refereed (206)
- Book chapters (4) Remove Book chapters <span class="counter">(4)</span> filter
- Talks, keynote (16)
- PhD theses (1)
- Proceedings, non-refereed (17)
- Posters (9)
- Technical reports (11)
- Talks, invited (153)
- Talks, contributed (13)
- Public outreach (41)
- Miscellaneous (9)
Book chapters
Multilinear Models, Iterative Methods
In Comprehensive Chemometrics (Second Edition), 267-304. Chemical and Biochemical Data Analysis. Elsevier, 2020.Status: Published
Multilinear Models, Iterative Methods
In this section, multilinear models for multi-way arrays requiring iterative fitting algorithms are outlined. Among them: the PARAFAC (PARAllel FACtor analysis) model and one of its variants (the PARAFAC2 model); Tucker models in which one or more modes are reduced (viz., the N-way Tucker-N and Tucker-m models); hybrid models having intermediate properties between PARAFAC and Tucker ones; and coupled matrix and tensor decompositions (CMTF) which simultaneously decomposes multiple tensors. Five examples are included as to illustrate some practical aspects concerning the use of these models on analytical data.
| Afilliation | Machine Learning |
| Project(s) | Department of Machine Intelligence |
| Publication Type | Book Chapter |
| Year of Publication | 2020 |
| Book Title | Comprehensive Chemometrics (Second Edition) |
| Secondary Title | Chemical and Biochemical Data Analysis |
| Pagination | 267-304 |
| Publisher | Elsevier |
| ISBN Number | 978-0-12-409547-2 |
| Keywords | -way Tucker models, CANDECOMP, Curve resolution, Exploratory analysis, Least squares, Linked mode PARAFAC, Multi-way analysis, Multi-way array, Multilinear model, PARAFAC, PARAFAC2, PARALIND, Restricted Tucker models, Tensor decomposition, Tensor-matrix factorization |
| URL | http://www.sciencedirect.com/science/article/pii/B9780124095472146098 |
| DOI | 10.1016/B978-0-12-409547-2.14609-8 |
Book chapters
Image Retrieval Evaluation in Specific Domains
In Information Retrieval Evaluation in a Changing World - Lessons Learned from 20 Years of CLEF, 275-305. Vol. INRE, volume 41. Springer, 2019.Status: Published
Image Retrieval Evaluation in Specific Domains
Image retrieval was, and still is, a hot topic in research. It comes with many challenges that changed over the years with the emergence of more advanced methods for analysis and enormous growth of images created, shared and consumed. This chapter gives an overview of domain-specific image retrieval evaluation approaches, which were part of the ImageCLEF evaluation campaign . Specifically, the robot vision, photo retrieval, scalable image annotation and lifelogging tasks are presented. The ImageCLEF medical activity is described in a separate chapter in this volume. Some of the presented tasks have been available for several years, whereas others are quite new (like lifelogging). This mix of new and old topics has been chosen to give the reader an idea about the development and trends within image retrieval. For each of the tasks, the datasets, participants, techniques used and lessons learned are presented and discussed leading to a comprehensive summary.
| Afilliation | Machine Learning |
| Project(s) | Simula Metropolitan Center for Digital Engineering, Department of Holistic Systems |
| Publication Type | Book Chapter |
| Year of Publication | 2019 |
| Book Title | Information Retrieval Evaluation in a Changing World - Lessons Learned from 20 Years of CLEF |
| Volume | INRE, volume 41 |
| Pagination | 275-305 |
| Publisher | Springer |
| DOI | 10.1007/978-3-030-22948-1_12 |
Challenges for Multimedia Research in E-Sports Using Counter-Strike Global Offensive as an Example
In Savegame, 197-206. Vol. 4. Wiesbaden: Springer Fachmedien Wiesbaden, 2019.Status: Published
Challenges for Multimedia Research in E-Sports Using Counter-Strike Global Offensive as an Example
That video and computer games have reached the masses is a well-known fact. However, game streaming and, therefore, watching other people play videogames has also outgrown its humble beginnings by far. Game streams, be it live or recorded, are viewed by millions. Many of the streams are broadcasting competitive multiplayer games. This is called e-sports and it is very similar to sports broadcasting. E-sports is organized in leagues and tournaments in which players can compete in controlled environments and viewers can experience the matches, discuss and criticize just like in physical sports. In this paper, we look into the challenges for computer science in general and multimedia research in particular. The multimedia research community has done a lot of work on video streaming, broadcasting and analyzing the audience, but has missed the opportunity to investigate e-sports in detail. We focus on one particular game we deem representative for e-sports, Counter-Strike: Global Offensive, and investigate how the audience consumes game streams from competitive tournaments.
| Afilliation | Communication Systems, Machine Learning |
| Project(s) | Department of Holistic Systems |
| Publication Type | Book Chapter |
| Year of Publication | 2019 |
| Book Title | Savegame |
| Volume | 4 |
| Pagination | 197 - 206 |
| Publisher | Springer Fachmedien Wiesbaden |
| Place Published | Wiesbaden |
| ISBN Number | 978-3-658-27394-1 |
| ISBN | 2524-3241 |
| URL | http://link.springer.com/10.1007/978-3-658-27395-8_13 |
| DOI | 10.1007/978-3-658-27395-8_13 |
Book chapters
Camera Synchronization for Panoramic Videos
In MediaSync, 565-592. Springer, 2018.Status: Published
Camera Synchronization for Panoramic Videos
| Afilliation | Communication Systems |
| Project(s) | Efficient EONS: Execution of Large Workloads on Elastic Heterogeneous Resources, Department of Holistic Systems |
| Publication Type | Book Chapter |
| Year of Publication | 2018 |
| Book Title | MediaSync |
| Pagination | 565-592 |
| Date Published | 03/2018 |
| Publisher | Springer |
| URL | https://doi.org/10.1007/978-3-319-65840-7_20 |
| DOI | 10.1007/978-3-319-65840-7_20 |