Martin Lillholm
Professor
Machine Learning
Universitetsparken 1
2100 København Ø
- 2001
What do features tell about images?
Nielsen, Mads & Lillholm, Martin, 2001, Scale-Space and Morphology in Computer Vision: Third International Conference, Scale-Space 2001 Vancouver, Canada, July 7–8, 2001 Proceedings. Kerckhove, M. (red.). Springer, s. 39-50 12 s. (Lecture notes in computer science, Bind 2106).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- 2003
Gaussian scale space from insufficient image information
Loog, M., Lillholm, Martin, Nielsen, M. & Viergever, M. A., 2003, Scale Space Methods in Computer Vision: 4th International Conference, Scale Space 2003 Isle of Skye, UK, June 10–12, 2003 Proceedings. Griffin, L. D. & Lillholm, M. (red.). Springer, s. 757-769 (Lecture notes in computer science, Bind 2695/2003).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
Mode estimation using pessimistic scale space tracking
Griffin, L. D. & Lillholm, Martin, 2003, Scale Space Methods in Computer Vision: 4th International Conference, Scale Space 2003 Isle of Skye, UK, June 10–12, 2003 Proceedings. Griffin, L. D. & Lillholm, M. (red.). Springer, s. 266-280 15 s. (Lecture notes in computer science, Bind 2695).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- 2004
Brownian Images: a generic background model
Steenstrup Pedersen, Kim & Lillholm, Martin, 2004, Proceedings of the ECCV'04 Workshop on Statistical Learning in Computer Vision.Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
Jet based feature classification
Lillholm, Martin & Steenstrup Pedersen, Kim, 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004: ICPR 2004. IEEE, s. 787-790 4 s.Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › 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
On image reconstruction from multiscale top points
Kanters, F., Lillholm, Martin, Duits, R., Janssen, B., Platel, B., Florack, L. & ter Haar Romeny, B., 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. 431-442 12 s. (Lecture notes in computer science, Bind 3459).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › 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
- 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
- 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
ID: 152298477
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Mammographic texture resemblance generalizes as an independent risk factor for breast cancer
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Mammographic density and structural features can individually and jointly contribute to breast cancer risk assessment in mammography screening: a case-control study
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Automatic segmentation of high-and low-field knee MRIs using knee image quantification with data from the osteoarthritis initiative
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