Laurens van der Maaten

2012
van der Maaten L, Weinberger K. Stochastic Triplet Embedding. In: IEEE International Workshop on Machine Learning for Signal Processing. IEEE International Workshop on Machine Learning for Signal Processing.; 2012. Available at: http://homepage.tudelft.nl/19j49/Publications_files/PID2449611.pdf.
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)
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
van der Maaten L, Hendriks EA. Capturing Appearance Variation in Active Appearance Models. In: IEEE Conference on Computer Vision and Pattern Recognition. IEEE Conference on Computer Vision and Pattern Recognition.; 2010. Available at: http://homepage.tudelft.nl/19j49/Publications_files/Final_CVPR10.pdf. Download: Final_CVPR10.pdf (1.4 MB)
Min R, van der Maaten L, Yuan Z, Bonner A, Zhang Z. Deep Supervised t-Distributed Embedding. In: International Conference on Machine Learning. International Conference on Machine Learning.; 2010. Available at: http://homepage.tudelft.nl/19j49/Publications_files/DSTEM.pdf. Download: DSTEM.pdf (1.33 MB)
van der Maaten L, Postma EO. Texton-Based Analysis of Paintings. In: SPIE Optical Imaging and Applications. SPIE Optical Imaging and Applications.; 2010.
2009
Boon PJ, Lange AG, van der Maaten L, Paijmans JJ, Postma EO. Digital Support for Archaeology. Interdisciplinary Science Reviews. 2009;34:189-205. Abstract  Download: isr.pdf (464.74 KB)
van der Maaten L. Learning a Parametric Embedding by Preserving Local Structure. In: Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS), JMLR W&CP.Vol 5. Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS), JMLR W&CP.; 2009:384-391. Abstract  Download: Paper.pdf (3.97 MB)
van der Maaten L. Preserving Local Structure in Gaussian Process Latent Variable Models. In: Proceedings of Benelearn-09. Proceedings of Benelearn-09.; 2009:81-88. Abstract  Download: eacl2009.pdf (441.64 KB)
2008
van der Maaten L, Hinton GE. Visualizing High-Dimensional Data Using t-SNE. Journal of Machine Learning Research. 2008;9:2579-2605. Abstract  Download: vandermaaten08a.pdf (2.5 MB)
2007
Vanderlooy S, van der Maaten L, Sprinkhuizen-Kuyper I. Off-line Learning with Transductive Confidence Machines: An Empirical Evaluation. In: Proceedings of the 5th International Conference on Machine Learning and Data Mining. Proceedings of the 5th International Conference on Machine Learning and Data Mining.; 2007:310-323. Available at: http://www.cs.unimaas.nl/s.vanderLooy/publications/mldm2007.pdf. Abstract
van der Maaten L, Postma EO. Texton-based Texture Classification. In: Proceedings of the Belgian-Dutch Artificial Intelligence Conference 2007. Proceedings of the Belgian-Dutch Artificial Intelligence Conference 2007.; 2007:213-220. Abstract  Download: Paper_1.pdf (385.8 KB)
2005
van der Maaten L, Postma EO. Improving Automatic Writer Identification. In: Proceedings of the 17th BNAIC. Proceedings of the 17th BNAIC.; 2005:260-266. Abstract  Download: PaperBNAIC2005.pdf (476.76 KB)