Sándor Szedmák

2007
13	EE	Sándor Szedmák, Tijl De Bie, David R. Hardoon: A metamorphosis of Canonical Correlation Analysis into multivariate maximum margin learning. ESANN 2007: 211-216
12	EE	Zhuoran Wang, John Shawe-Taylor, Sándor Szedmák: Kernel Regression Based Machine Translation. HLT-NAACL (Short Papers) 2007: 185-188
11	EE	Sándor Szedmák, John Shawe-Taylor: Synthesis of maximum margin and multiview learning using unlabeled data. Neurocomputing 70(7-9): 1254-1264 (2007)
2006
10	EE	David R. Hardoon, Craig Saunders, Sándor Szedmák, John Shawe-Taylor: A Correlation Approach for Automatic Image Annotation. ADMA 2006: 681-692
9	EE	Sándor Szedmák, John Shawe-Taylor: Synthesis of maximum margin and multiview learning using unlabeled data. ESANN 2006: 479-484
8	EE	Juho Rousu, Craig Saunders, Sándor Szedmák, John Shawe-Taylor: Kernel-Based Learning of Hierarchical Multilabel Classification Models. Journal of Machine Learning Research 7: 1601-1626 (2006)
2005
7	EE	Juho Rousu, Craig Saunders, Sándor Szedmák, John Shawe-Taylor: Learning hierarchical multi-category text classification models. ICML 2005: 744-751
6	EE	Mark Everingham, Andrew Zisserman, Christopher K. I. Williams, Luc J. Van Gool, Moray Allan, Christopher M. Bishop, Olivier Chapelle, Navneet Dalal, Thomas Deselaers, Gyuri Dorkó, Stefan Duffner, Jan Eichhorn, Jason D. R. Farquhar, Mario Fritz, Christophe Garcia, Tom Griffiths, Frédéric Jurie, Daniel Keysers, Markus Koskela, Jorma Laaksonen, Diane Larlus, Bastian Leibe, Hongying Meng, Hermann Ney, Bernt Schiele, Cordelia Schmid, Edgar Seemann, John Shawe-Taylor, Amos J. Storkey, Sándor Szedmák, Bill Triggs, Ilkay Ulusoy, Ville Viitaniemi, Jianguo Zhang: The 2005 PASCAL Visual Object Classes Challenge. MLCW 2005: 117-176
5	EE	Jason D. R. Farquhar, David R. Hardoon, Hongying Meng, John Shawe-Taylor, Sándor Szedmák: Two view learning: SVM-2K, Theory and Practice. NIPS 2005
2004
4	EE	Hongying Meng, John Shawe-Taylor, Sándor Szedmák, Jason D. R. Farquhar: Support Vector Machine to Synthesise Kernels. Deterministic and Statistical Methods in Machine Learning 2004: 242-255
3	EE	Peter L. Hammer, Yanpei Liu, Bruno Simeone, Sándor Szedmák: Saturated systems of homogeneous boxes and the logical analysis of numerical data. Discrete Applied Mathematics 144(1-2): 103-109 (2004)
2	EE	Peter L. Hammer, Alexander Kogan, Bruno Simeone, Sándor Szedmák: Pareto-optimal patterns in logical analysis of data. Discrete Applied Mathematics 144(1-2): 79-102 (2004)
1	EE	David R. Hardoon, Sándor Szedmák, John Shawe-Taylor: Canonical Correlation Analysis: An Overview with Application to Learning Methods. Neural Computation 16(12): 2639-2664 (2004)

Coauthor Index

1	Moray Allan	[6]
2	Tijl De Bie	[13]
3	Christopher M. Bishop	[6]
4	Olivier Chapelle	[6]
5	Navneet Dalal	[6]
6	Thomas Deselaers	[6]
7	Gyuri Dorkó	[6]
8	Stefan Duffner	[6]
9	Jan Eichhorn	[6]
10	Mark Everingham	[6]
11	Jason D. R. Farquhar	[4] [5] [6]
12	Mario Fritz	[6]
13	Christophe Garcia	[6]
14	Luc J. Van Gool	[6]
15	Tom Griffiths	[6]
16	Peter L. Hammer	[2] [3]
17	David R. Hardoon	[1] [5] [10] [13]
18	Frédéric Jurie	[6]
19	Daniel Keysers	[6]
20	Alexander Kogan	[2]
21	Markus Koskela	[6]
22	Jorma Laaksonen	[6]
23	Diane Larlus	[6]
24	Bastian Leibe	[6]
25	Yanpei Liu	[3]
26	Hongying Meng	[4] [5] [6]
27	Hermann Ney	[6]
28	Juho Rousu	[7] [8]
29	Craig Saunders	[7] [8] [10]
30	Bernt Schiele	[6]
31	Cordelia Schmid	[6]
32	Edgar Seemann	[6]
33	John Shawe-Taylor	[1] [4] [5] [6] [7] [8] [9] [10] [11] [12]
34	Bruno Simeone	[2] [3]
35	Amos J. Storkey	[6]
36	Bill Triggs	[6]
37	Ilkay Ulusoy	[6]
38	Ville Viitaniemi	[6]
39	Zhuoran Wang	[12]
40	Christopher K. I. Williams	[6]
41	Jianguo Zhang	[6]
42	Andrew Zisserman	[6]

Colors in the list of coauthors