The approximation of the dissimilarity projection

Proceedings - 2012 2nd International Workshop on Pattern Recognition in NeuroImaging, PRNI 2012

Volumn , Issue , 2012, Pages 85-88

  Olivetti, Emanuele ^a,b   Nguyen, Thien Bao ^a,b   Garyfallidis, Eleftherios ^c  

^a FONDAZIONE BRUNO KESSLER   (Italy)

^b UNIVERSITY OF TRENTO   (Italy)

^c MRC COGNITION AND BRAIN SCIENCES UNIT   (United Kingdom)

Author keywords

dissimilarity representation; dMRI; Euclidean embedding; prototype selection; tractography

Indexed keywords

DISSIMILARITY REPRESENTATION; DMRI; EUCLIDEAN; PROTOTYPE SELECTION; TRACTOGRAPHY;

LEARNING ALGORITHMS; MAGNETIC RESONANCE IMAGING; PATTERN RECOGNITION; PRASEODYMIUM ALLOYS;

NEUROIMAGING;

EID: 84867810136     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/PRNI.2012.13     Document Type: Conference Paper

References (14)

1. S. Mori and P. C. M. van Zijl, "Fiber tracking: principles and strategies a technical review," NMR Biomed., vol. 15, no. 7-8, pp. 468-480, 2002. [Online]. Available: http://dx.doi.org/10.1002/nbm.781
2. P. J. Basser, J. Mattiello, and D. LeBihan, "MR diffusion tensor spectroscopy and imaging." Biophysical journal, vol. 66, no. 1, pp. 259-267, Jan. 1994. [Online]. Available: http://dx.doi.org/10.1016/S0006- 3495(94)80775-1
3. S. Zhang, S. Correia, and D. H. Laidlaw, "Identifying White-Matter Fiber Bundles in DTI Data Using an Automated Proximity-Based Fiber-Clustering Method," Visualization and Computer Graphics, IEEE Transactions on, vol. 14, no. 5, pp. 1044-1053, 2008. [Online]. Available: http://dx.doi.org/10.1109/ TVCG.2008.52
4. X. Wang, Grimson, and C.-F. Westin, "Tractography segmentation using a hierarchical Dirichlet processes mixture model," NeuroImage, vol. 54, no. 1, pp. 290-302, Jan. 2011. [Online]. Available: http://dx.doi.org/10.1016/j. neuroimage.2010.07.050
5. E. Olivetti and P. Avesani, "Supervised segmentation of fiber tracts," in Proceedings of the First international conference on Similarity-based pattern recognition, ser. SIMBAD'11. Berlin, Heidelberg: Springer-Verlag, 2011, pp. 261-274. [Online]. Available: http://dx.doi.org/10. 1007/978-3-642-24471-1\ 19
6. E. Pekalska, P. Paclik, and R. P. W. Duin, "A generalized kernel approach to dissimilarity-based classification," J. Mach. Learn. Res., vol. 2, pp. 175-211, 2002. [Online]. Available: http://portal.acm.org/citation.cfm? id=944810
7. M.-F. Balcan, A. Blum, and N. Srebro, "A theory of learning with similarity functions," Machine Learning, vol. 72, no. 1, pp. 89-112, Aug. 2008. [Online]. Available: http://dx.doi.org/10.1007/s10994-008-5059-5
8. Y. Chen, E. K. Garcia, M. R. Gupta, A. Rahimi, and L. Cazzanti, "Similarity-based Classification: Concepts and Algorithms," Journal of Machine Learning Research, vol. 10, pp. 747-776, Mar. 2009. [Online]. Available: http://www.jmlr.org/papers/volume10/chen09a/chen09a.pdf
9. E. Pekalska, R. Duin, and P. Paclik, "Prototype selection for dissimilarity-based classifiers," Pattern Recognition, vol. 39, no. 2, pp. 189-208, Feb. 2006. [Online]. Available: http://dx.doi.org/10.1016/j.patcog. 2005.06.012
10. N. Linial, E. London, and Y. Rabinovich, "The geometry of graphs and some of its algorithmic applications," Combinatorica, vol. 15, no. 2, pp. 215-245, Jun. 1995. [Online]. Available: http://dx.doi.org/10.1007/BF01200757
11. E. W. Forgy, "Cluster analysis of multivariate data: efficiency vs interpretability of classifications," Biometrics, vol. 21, pp. 768-769, 1965.
12. D. S. Hochbaum and D. B. Shmoys, "A Best Possible Heuristic for the k-Center Problem," Mathematics of Operations Research, vol. 10, no. 2, pp. 180-184, May 1985. [Online]. Available: http://dx.doi.org/10.1287/moor.10.2.180
13. D. Turnbull and C. Elkan, "Fast recognition of musical genres using RBF networks," Knowledge and Data Engineering, IEEE Transactions on, vol. 17, no. 4, pp. 580-584, Apr. 2005. [Online]. Available: http://dx.doi.org/10. 1109/TKDE.2005.62
14. E. Garyfallidis, "Towards an accurate brain tractography," Ph.D. dissertation, University of Cambridge, 2012.