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Serhat Selcuk Bucak
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2010 – 2019
- 2014
- [j3]Serhat Selcuk Bucak, Rong Jin, Anil K. Jain:
Multiple Kernel Learning for Visual Object Recognition: A Review. IEEE Trans. Pattern Anal. Mach. Intell. 36(7): 1354-1369 (2014) - 2013
- [j2]Serhat Selcuk Bucak, Bilge Günsel:
Online video scene clustering by competitive incremental NMF. Signal Image Video Process. 7(4): 723-739 (2013) - [c10]Serhat Selcuk Bucak, Ankur Saxena, Abhishek Nagar, Felix C. A. Fernandes, Kong-Posh Bhat:
Mid-level feature based local descriptor selection for image search. VCIP 2013: 1-6 - [c9]Abhishek Nagar, Ankur Saxena, Serhat Selcuk Bucak, Felix C. A. Fernandes, Kong-Posh Bhat:
Low complexity image matching using color based SIFT. VCIP 2013: 1-6 - 2012
- [c8]Brendan Klare, Serhat Selcuk Bucak, Anil K. Jain, Tayfun Akgul:
Towards automated caricature recognition. ICB 2012: 139-146 - 2011
- [c7]Serhat Selcuk Bucak, Rong Jin, Anil K. Jain:
Multi-label learning with incomplete class assignments. CVPR 2011: 2801-2808 - 2010
- [c6]Vikas Sindhwani, Serhat Selcuk Bucak, Jianying Hu, Aleksandra Mojsilovic:
One-Class Matrix Completion with Low-Density Factorizations. ICDM 2010: 1055-1060 - [c5]Serhat Selcuk Bucak, Rong Jin, Anil K. Jain:
Multi-label Multiple Kernel Learning by Stochastic Approximation: Application to Visual Object Recognition. NIPS 2010: 325-333
2000 – 2009
- 2009
- [j1]Serhat Selcuk Bucak, Bilge Günsel:
Incremental subspace learning via non-negative matrix factorization. Pattern Recognit. 42(5): 788-797 (2009) - [c4]Serhat Selcuk Bucak, Pavan Kumar Mallapragada, Rong Jin, Anil K. Jain:
Efficient multi-label ranking for multi-class learning: Application to object recognition. ICCV 2009: 2098-2105 - 2008
- [c3]Serhat Selcuk Bucak, Bilge Günsel:
Incremental clustering via nonnegative matrix factorization. ICPR 2008: 1-4 - 2007
- [c2]Serhat Selcuk Bucak, Bilge Günsel:
Video Content Representation by Incremental Non-Negative Matrix Factorization. ICIP (2) 2007: 113-116 - [c1]Serhat Selcuk Bucak, Bilge Günsel, Ozan Gursoy:
Incremental Non-negative Matrix Factorization for Dynamic Background Modelling. PRIS 2007: 107-116
Coauthor Index
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