Laurens van der Maaten

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	2013
i1		Laurens van der Maaten: Barnes-Hut-SNE. CoRR abs/1301.3342 (2013)
	2012
j5		Laurens van der Maaten, Sebastian Schmidtlein, Miguel D. Mahecha: Analyzing floristic inventories with multiple maps. Ecological Informatics 9: 1-10 (2012)
j4		Laurens van der Maaten, Geoffrey E. Hinton: Visualizing non-metric similarities in multiple maps. Machine Learning 87(1): 33-55 (2012)
c9		Gorkem Saygili, Laurens van der Maaten, Emile A. Hendriks: Improving segment based stereo matching using SURF key points. ICIP 2012: 2973-2976
c8		Laurens van der Maaten: Audio-visual emotion challenge 2012: a simple approach. ICMI 2012: 473-476
c7		Jianbin Fang, Ana Lucia Varbanescu, Jie Shen, Henk J. Sips, Gorkem Saygili, Laurens van der Maaten: Accelerating Cost Aggregation for Real-Time Stereo Matching. ICPADS 2012: 472-481
	2011
j3		Laurens van der Maaten: Discussion of "Spectral Dimensionality Reduction via Maximum Entropy". Journal of Machine Learning Research - Proceedings Track 15: 60-62 (2011)
j2		Laurens van der Maaten, Max Welling, Lawrence K. Saul: Hidden-Unit Conditional Random Fields. Journal of Machine Learning Research - Proceedings Track 15: 479-488 (2011)
c6		Laurens van der Maaten: Learning Discriminative Fisher Kernels. ICML 2011: 217-224
	2010
c5		Martin Renqiang Min, Laurens van der Maaten, Zineng Yuan, Anthony J. Bonner, Zhaolei Zhang: Deep Supervised t-Distributed Embedding. ICML 2010: 791-798
c4		Andrew Gelfand, Yutian Chen, Laurens van der Maaten, Max Welling: On Herding and the Perceptron Cycling Theorem. NIPS 2010: 694-702
c3		Diane Hu, Laurens van der Maaten, Youngmin Cho, Lawrence K. Saul, Sorin Lerner: Latent Variable Models for Predicting File Dependencies in Large-Scale Software Development. NIPS 2010: 865-873
	2009
j1		Laurens van der Maaten: Learning a Parametric Embedding by Preserving Local Structure. Journal of Machine Learning Research - Proceedings Track 5: 384-391 (2009)
	2007
c2		Stijn Vanderlooy, Laurens van der Maaten, Ida G. Sprinkhuizen-Kuyper: Off-Line Learning with Transductive Confidence Machines: An Empirical Evaluation. MLDM 2007: 310-323
	2005
c1		Laurens van der Maaten, Eric O. Postma: Improving automatic writer identification. BNAIC 2005: 260-266

Coauthor Index

1	Anthony J. Bonner	[c5]
2	Yutian Chen	[c4]
3	Youngmin Cho	[c3]
4	Jianbin Fang	[c7]
5	Andrew Gelfand (Andrew E. Gelfand)	[c4]
6	Emile A. Hendriks	[c9]
7	Geoffrey E. Hinton	[j4]
8	Diane Hu	[c3]
9	Sorin Lerner	[c3]
10	Miguel D. Mahecha	[j5]
11	Martin Renqiang Min (Renqiang Min)	[c5]
12	Eric O. Postma	[c1]
13	Lawrence K. Saul	[j2] [c3]
14	Gorkem Saygili	[c9] [c7]
15	Sebastian Schmidtlein	[j5]
16	Jie Shen	[c7]
17	Henk J. Sips	[c7]
18	Ida G. Sprinkhuizen-Kuyper	[c2]
19	Stijn Vanderlooy	[c2]
20	Ana Lucia Varbanescu	[c7]
21	Max Welling	[j2] [c4]
22	Zineng Yuan	[c5]
23	Zhaolei Zhang	[c5]

Colors in the list of coauthors

Last update Sat May 25 07:03:39 2013 CET by the DBLP Team —

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