Publications

Similarity Domains Machine for Scale-invariant and Sparse Shape Modeling

S. Ozer
IEEE Transactions on Image Processing, 2018.
Paper (pdf)

Coresets for Vector Summarization with Applications to Network Graphs

D. Feldman, S. Ozer, D. Rus
Proceedings of the 34th International Conference on Machine Learning (ICML), 2017.
Paper (pdf)

The Path to COVIS: a review of acoustic imaging of hydrothermal flow regimes

K. G. Bemis, D. Silver, G. Xu, R. Light, D. Jackson, C. Jones, S. Ozer, L. Lui
Journal of Deep-Sea Research Part II, Vol. 121, pp.159,176 ,2015.
Paper (Link)

Visual Object Recognition with Image Retrieval

S. Ozer
Handbook of Pattern Recognition & Computer Vision, World Scientific, (invited book chapter), 2015.

Activity Detection in Scientific Visualization

S. Ozer, D. Silver, K. Bemis, P. Martin
Visualization and Computer Graphics, IEEE Transactions on, vol.20, no.3, pp.377,390, 2014.
Paper (pdf)

Image classification by multi-kernel dictionary learning

R. Sarkar, S. Ozer, S. Acton, K. Skadron
IEEE Asilomar Conference on Signals, Systems and Computers, 2014.

Activity Detection in Scientific Visualization (Invited Talk)

S. Ozer, D. Silver, K. Bemis, P. Martin
IEEE Visualization, 2014.
Paper (Link)

An interactive method for activity detection visualization

L. Liu, S. Ozer, K. Bemis, J. Takle, D. Silver
Large Data Analysis and Visualization (LDAV), 2013 IEEE Symposium on, 2013 (Poster).

Event Detection for Hydrothermal Plumes: A case study at Grotto Vent

K.G. Bemis, S. Ozer, G. Xu, P.A. Rona, D. Silver
AGU Fall Meeting Abstracts 1, 05, 2012.

Group Dynamics in Scientific Visualization

S. Ozer, J. Wei, D. Silver, K.-L. Ma, P. Martin
Large Data Analysis and Visualization (LDAV), 2012 IEEE Symposium on, 2012.
Paper (pdf)

A Set of New Chebyshev Kernel Functions for Support Vector Machine Pattern Classification

S. Ozer, C.H. Chen, H.A. Cirpan
Journal of Pattern Recognition, 44 (7), 1435-1447, 2011.
Paper (pdf)

Supervised and Unsupervised Methods for Prostate Cancer Segmentation With Multispectral MRI

S. Ozer, D. L. Langer, X. Liu, M. A. Haider, T. H. van der Kwast, A. J. Evans, Y. Yang, M. N. Wernick, I. S. Yetik
Journal of Medical Physics, Vol. 37, Issue:4, 2010.
Paper (pdf)

Using K-NN SVMs for Performance Improvement and Comparison to K-highest Lagrange Multipliers Selection

S. Ozer, C. H. Chen, I.S. Yetik
joint IAPR International Workshops on Structural and Syntactic Pattern Recognition and Statistical Techniques in Pattern Recognition, SSPR 2010, Springer- Verlag, Lecture Notes in Computer Science, 2010.
Paper (pdf)

Prostate Cancer Localization with Multispectral MRI Based on Relevance Vector Machine

S. Ozer, M.A. Haider, D.L. Langer, T.H. van der Kwast, A.J. Evans, M.N. Wernick, J. Trachtenberg, I.S. Yetik
IEEE International Symposium on Biomedical Imaging, 2009.
Paper (pdf)

Generalized Chebyshev Kernels for Support Vector Classification

S. Ozer, C. H. Chen
IEEE International Conference on Pattern Recognition (ICPR), 2008.
Paper (pdf)

Support Vector Regression for Surveillance Purposes

S. Ozer, H. A. Cirpan, N. Kabaoglu
MRCS - International Workshop on Multimedia Content Representation, Classification and Security, (Springer), 2006.

Support Vector Machines Based Target Tracking Techniques

S Ozer, HA Cirpan, N Kabaoglu
IEEE 14th Signal Processing and Communications Applications, 2006

Book: A kernel study on Support Vector Machines: Generalized Chebyshev Kernels

S Ozer, C. H. Chen
LAP Lambert Academic Publishing , ISBN-10: 3838305574, 2009