Jakob J. Verbeek

2008
21	EE	Matthieu Guillaumin, Thomas Mensink, Jakob J. Verbeek, Cordelia Schmid: Automatic face naming with caption-based supervision. CVPR 2008
20	EE	Thomas Mensink, Jakob J. Verbeek: Improving People Search Using Query Expansions. ECCV (2) 2008: 86-99
19		Hakan Cevikalp, Jakob J. Verbeek, Frédéric Jurie, Alexander Kläser: Semi-Supervised Dimensionality Reduction Using Pairwise Equivalence Constraints. VISAPP (1) 2008: 489-496
2007
18	EE	Joost van de Weijer, Cordelia Schmid, Jakob J. Verbeek: Learning Color Names from Real-World Images. CVPR 2007
17	EE	Jakob J. Verbeek, Bill Triggs: Region Classification with Markov Field Aspect Models. CVPR 2007
16	EE	Joost van de Weijer, Cordelia Schmid, Jakob J. Verbeek: Using High-Level Visual Information for Color Constancy. ICCV 2007: 1-8
15	EE	Jakob J. Verbeek, Bill Triggs: Scene Segmentation with CRFs Learned from Partially Labeled Images. NIPS 2007
2006
14	EE	Zoran Zivkovic, Jakob J. Verbeek: Transformation invariant component analysis for binary images. CVPR (1) 2006: 254-259
13	EE	Jakob J. Verbeek, Jan Nunnink, Nikos A. Vlassis: Accelerated EM-based clustering of large data sets. Data Min. Knowl. Discov. 13(3): 291-307 (2006)
12	EE	Jakob J. Verbeek: Learning Nonlinear Image Manifolds by Global Alignment of Local Linear Models. IEEE Trans. Pattern Anal. Mach. Intell. 28(8): 1236-1250 (2006)
11	EE	Jakob J. Verbeek, Nikos A. Vlassis: Gaussian fields for semi-supervised regression and correspondence learning. Pattern Recognition 39(10): 1864-1875 (2006)
2005
10	EE	Josep M. Porta, Jakob J. Verbeek, Ben J. A. Kröse: Active Appearance-Based Robot Localization Using Stereo Vision. Auton. Robots 18(1): 59-80 (2005)
9	EE	Jakob J. Verbeek, Nikos A. Vlassis, Ben J. A. Kröse: Self-organizing mixture models. Neurocomputing 63: 99-123 (2005)
2003
8	EE	Jakob J. Verbeek, Nikos A. Vlassis, Ben J. A. Kröse: Self-Organization by Optimizing Free-Energy. ESANN 2003: 125-130
7	EE	Jakob J. Verbeek, Sam T. Roweis, Nikos A. Vlassis: Non-linear CCA and PCA by Alignment of Local Models. NIPS 2003
6	EE	Jakob J. Verbeek, Nikos A. Vlassis, Ben J. A. Kröse: Efficient Greedy Learning of Gaussian Mixture Models. Neural Computation 15(2): 469-485 (2003)
5	EE	Aristidis Likas, Nikos A. Vlassis, Jakob J. Verbeek: The global k-means clustering algorithm. Pattern Recognition 36(2): 451-461 (2003)
2002
4		Jakob J. Verbeek, Nikos A. Vlassis, Ben J. A. Kröse: Fast nonlinear dimensionality reduction with topology representing networks. ESANN 2002: 193-198
3	EE	Jakob J. Verbeek, Nikos A. Vlassis, Ben J. A. Kröse: Coordinating Principal Component Analyzers. ICANN 2002: 914-919
2	EE	Jakob J. Verbeek, Nikos A. Vlassis, Ben J. A. Kröse: A k-segments algorithm for finding principal curves. Pattern Recognition Letters 23(8): 1009-1017 (2002)
2001
1	EE	Jakob J. Verbeek, Nikos A. Vlassis, Ben J. A. Kröse: A Soft k-Segments Algorithm for Principal Curves. ICANN 2001: 450-456

Coauthor Index

1	Hakan Cevikalp	[19]
2	Matthieu Guillaumin	[21]
3	Frédéric Jurie	[19]
4	Alexander Kläser	[19]
5	Ben J. A. Kröse	[1] [2] [3] [4] [6] [8] [9] [10]
6	Aristidis Likas	[5]
7	Thomas Mensink	[20] [21]
8	Jan Nunnink	[13]
9	Josep M. Porta	[10]
10	Sam T. Roweis	[7]
11	Cordelia Schmid	[16] [18] [21]
12	Bill Triggs	[15] [17]
13	Nikos A. Vlassis	[1] [2] [3] [4] [5] [6] [7] [8] [9] [11] [13]
14	Joost van de Weijer	[16] [18]
15	Zoran Zivkovic	[14]

Colors in the list of coauthors