Publications

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2012
2011
Saygili G, van der Maaten L, Hendriks EA. Feature-Based Stereo Matching Using Graph Cuts. In: ASCI Conference 2011. ASCI Conference 2011. Veldhoven - The Nederlands; 2011. Download: Feature Based Stereo Matching Using Graph Cuts_.pdf (1.84 MB)
Baiker M, Staring M, Löwik CWGM, Reiber JHC, Lelieveldt BPF. Automated registration of whole-body follow-up MicroCT data of mice. Medical image computing and computer-assisted intervention : MICCAI .. International Conference on Medical Image Computing and Computer-Assisted Intervention. 2011;14(2):516-23. Abstract
Baka N, Metz CT, Schaap M, et al. Comparison of shape regression methods under landmark position uncertainty. Medical image computing and computer-assisted intervention : MICCAI .. International Conference on Medical Image Computing and Computer-Assisted Intervention. 2011;14(2):434-41. Abstract
Huang J, Zhang M, Pei W, Hua W, Bao H. Controllable Highly Regular Triangulation. SCIENCE CHINA Information Sciences . 2011;54(6):1172-1183.
Lelieveldt BPF, Botha CP, Kaijzel EL, et al. Towards Integrated Analysis of Longitudinal Whole-Body Small Animal Imaging Studies. In: International Conference on Speech and Signal Processing (ICASSP 2011). International Conference on Speech and Signal Processing (ICASSP 2011). Prague; 2011:5768-5771.
Khmelinskii A, Baiker M, Kok P, et al. Atlas-based articulated skeleton segmentation of micro-SPECT mouse data. In: IEEE International Symposium on Biomedical Imaging (ISBI 2011). IEEE International Symposium on Biomedical Imaging (ISBI 2011).; 2011:437-440.
Kirişli HA, Gupta V, Kirschbaum SW, et al. A patient-specific visualization tool for comprehensive analysis of coronary CTA and perfusion MRI data. In: Proc SPIE Medical Imaging 2011.Vol 7964. Proc SPIE Medical Imaging 2011.; 2011:Paper # 796410.
van der Maaten L. Discussion on Spectral Dimensionality Reduction via Maximum Entropy (invited discussion paper). In: Artificial Intelligence & Statistics (AI-STATS 2011).Vol JMLR W&CP 15. Artificial Intelligence & Statistics (AI-STATS 2011).; 2011:60-62.
Gelfand A, van der Maaten L, Chen Y, Welling M. On Herding and the Perceptron Cycling Theorem. Advances in Neural Information Processing Systems (NIPS-2010). 2011:694-702.
van der Maaten L, Welling M, Saul LK. Hidden-Unit Conditional Random Fields. In: Artificial Intelligence & Statistics (AI-STATS 2011).Vol JMLR W&CP 15. Artificial Intelligence & Statistics (AI-STATS 2011).; 2011:479-488. Available at: http://cseweb.ucsd.edu/~lvdmaaten/hucrf/Hidden-Unit_Conditional_Random_Fields.html.
Hu D, van der Maaten L, Cho Y, Saul LK, Lerner S. Latent Variable Models for Predicting File Dependencies in Large-Scale Software Development. In: Advances in Neural Information Processing Systems (NIPS-2010). Advances in Neural Information Processing Systems (NIPS-2010).; 2011:865-873.
van der Maaten L. Learning Discriminative Fisher Kernels. In: International Conference on Machine Learning (ICML-2011). International Conference on Machine Learning (ICML-2011).; 2011:217-224. Available at: http://homepage.tudelft.nl/19j49/Publications_files/example_paper.pdf.
2010
Xu Y, Lei B, Sun S, Dong F, Cai C. Three Particle Swarm Algorithms to Improve Coverage of Camera Networks with Mobile Nodes. In: In. Proceeding of Bio-Inspired Computing:Theories and Applications. In. Proceeding of Bio-Inspired Computing:Theories and Applications. Changsha; 2010.