Martin Lillholm
Professor
Machine Learning
Universitetsparken 1
2100 København Ø
- 2009
Single stroke gaze gestures
Mollenbach, E., Hansen, J. P., Lillholm, Martin & Gale, A., 2009, CHI '09 Extended Abstracts on Human Factors in Computing Systems. Association for Computing Machinery, s. 4555-4560 6 s.Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
Statistics and category systems for the shape index descriptor of local 2nd order natural image structure
Lillholm, Martin & Griffin, L. D., 2009, I: Image and Vision Computing. 27, 6, s. 771-781 11 s.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- 2008
Classifying local image symmetry using a co-localised family of linear filters
Griffin, L. D. & Lillholm, Martin, 2008, I: Perception. 37, Supplement, s. 122-122 1 s.Publikation: Bidrag til tidsskrift › Konferenceabstrakt i tidsskrift › Forskning
Larger feature alphabets can improve object recognition even with simpler visual words
Lillholm, Martin & Griffin, L., 2008, I: Perception. 37, Supplement, s. 33-33 1 s.Publikation: Bidrag til tidsskrift › Konferenceabstrakt i tidsskrift › Forskning
Novel image feature alphabets for object recognition
Lillholm, Martin & Griffin, L., 2008, 19th International Conference on Pattern Recognition, 2008: ICPR 2008.. IEEE, 4 s.Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- 2007
Feature category systems for 2nd order local image structure induced by natural image statistics and otherwise
Griffin, L. D. & Lillholm, Martin, 2007, Human Vision and Electronic Imaging XII . Rogowitz, B. E., Pappas, T. N. & Daly, S. J. (red.). SPIE - International Society for Optical Engineering, 11 s. 649209. (Proceedings of S P I E - International Society for Optical Engineering, Bind 6492).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
Maximum likelihood metameres for local 2nd order image structure of natural images
Lillholm, Martin & Griffin, L. D., 2007, Scale Space and Variational Methods in Computer Vision: First International Conference, SSVM 2007, Ischia, Italy, May 30 - June 2, 2007. Proceedings. Sgallari, F., Murli, A. & Paragios, N. (red.). Springer, s. 394-405 12 s. (Lecture notes in computer science, Bind 4485).Publikation: Bidrag til bog/antologi/rapport › Bidrag til bog/antologi › Forskning › fagfællebedømt
- 2006
A category system on the shape index descriptor of local image structure induced by natural image statistics
Lillholm, Martin & Griffin, L. D., 2006, I: Perception. 35, Supplement, s. 48-49 2 s.Publikation: Bidrag til tidsskrift › Konferenceabstrakt i tidsskrift › Forskning
Hypotheses for image features, icons and textons
Griffin, L. D. & Lillholm, Martin, 2006, I: International Journal of Computer Vision. 70, 3, s. 213-230 18 s.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- 2005
Image features and the 1-D, 2nd order gaussian derivative jet
Griffin, L. D. & Lillholm, Martin, 2005, Scale Space and PDE Methods in Computer Vision: 5th International Conference, Scale-Space 2005, Hofgeismar, Germany, April 7-9, 2005. Proceedings. Kimmel, R., Sochen, N. A. & Weickert, J. (red.). Springer, s. 26-37 12 s. (Lecture notes in computer science, Bind 3459).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
ID: 152298477
Flest downloads
-
1633
downloads
Mammographic texture resemblance generalizes as an independent risk factor for breast cancer
Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
Udgivet -
638
downloads
Mammographic density and structural features can individually and jointly contribute to breast cancer risk assessment in mammography screening: a case-control study
Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
Udgivet -
352
downloads
Automatic segmentation of high-and low-field knee MRIs using knee image quantification with data from the osteoarthritis initiative
Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
Udgivet