Sedat Ozer

According to our database1, Sedat Ozer authored at least 16 papers between 2006 and 2020.

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Bibliography

2020
Deep Receiver Design for Multi-carrier Waveforms Using CNNs.
Proceedings of the 43rd International Conference on Telecommunications and Signal Processing, 2020

2019
Similarity Domains Machine for Scale-Invariant and Sparse Shape Modeling.
IEEE Trans. Image Process., 2019

Controlling Steering Angle for Cooperative Self-driving Vehicles utilizing CNN and LSTM-based Deep Networks.
Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019

Parametric Shape Modeling and Skeleton Extraction With Radial Basis Functions Using Similarity Domains Network.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2017
Coresets for Vector Summarization with Applications to Network Graphs.
Proceedings of the 34th International Conference on Machine Learning, 2017

2016
Visual Object Recognition with Image Retrieval.
Proceedings of the Handbook of Pattern Recognition and Computer Vision, 5th Ed., 2016

2014
Activity Detection in Scientific Visualization.
IEEE Trans. Vis. Comput. Graph., 2014

Image classification by multi-kernel dictionary learning.
Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers, 2014

2013
An interactive method for activity detection visualization.
Proceedings of the IEEE Symposium on Large-Scale Data Analysis and Visualization, 2013

2012
Group dynamics in scientific visualization.
Proceedings of the IEEE Symposium on Large Data Analysis and Visualization, 2012

2011
A set of new Chebyshev kernel functions for support vector machine pattern classification.
Pattern Recognit., 2011

Activity Detection for scientific visualization.
Proceedings of the IEEE Symposium on Large Data Analysis and Visualization, 2011

2010
Using K-NN SVMs for Performance Improvement and Comparison to K-Highest Lagrange Multipliers Selection.
Proceedings of the Structural, 2010

2009
Prostate Cancer Localization with Multispectral MRI Based on Relevance Vector Machines.
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009

2008
Generalized Chebyshev Kernels for Support Vector Classification.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

2006
Support Vector Regression for Surveillance Purposes.
Proceedings of the Multimedia Content Representation, 2006


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