İngilizce Bildiriler
- M. Ozay , H. Zheng, F. T. Yarman-Vural, S. R. Kulkarni, H. Vincent Poor, ” Consensus Segmentation for Level Selection and Fusion ” , ARO-MURI 4th Annual Meeting, January 10, 2012, University of California, Irvine, USA, 2012.
- Senaras, C., Yuksel, B., Ozay, M., F. T. Yarman-Vural. ” Automatic Building Detection with Feature Space Fusion using Ensemble Learning ” IEEE IGARSS, 2012.
- M. Ozay, I. Oztekin, U. Oztekin, F. T. Yarman-Vural, “Modeling cognitive states using machine learning techniques”, 4th INCF Congress of Neuroinformatics 2011, Boston, MA, USA. 2011.
- Ozyer, G. T., Fatos T. Yarman-Vural. “An Attention-Based Image Retrieval System. ” 10th International Conference on Machine Learning and Applications and Workshops (pp. 96-99). 2011.
- Mete Özay, Fatos T. Yarman-Vural, “A new decision fusion technique for image classification.” International Conference on Image Processing , ICIP”, 2009, p.
- Mete Ozay, Fatos T. Yarman-Vural, “Linear Separability Analysis for Stacked Generalization Architecture.” IEEE Signal Processing, Communication and Applications”, 2009, p.
- O. Oztimur, F.T.Yarman-Vural “HANOLISTIC: A Hierarchical automatic Image Annotation System Using Holistic Approach” Computer and Information Sciences, 2008. ISCIS ’08. 23rd International Symposium on , vol., no., pp.1-6, 27-29 Oct. 2008.
- M. Ozay, F.T. Yarman-Vural. ” On the Performance of Stacked Generalization Architecture”, Lecture Notes in Computer Science, ICIAR pp.445-451, 2008,
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E. Akbaş, F.T. Yarman-Vural, “Automatic Image Annotation by Ensemble of Visual Descriptors”, CVPR 2007,pp.1-8, 2007.
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İ. Yalabık, F.T. Yarman-Vural, G. Ucoluk, O.T. Sehitoglu, “A Pattern Classification Approach for Boosting with Genetic Algorithms”, ISCIS07, pp.1-6, 2007.
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M. Uysal, E. Akbas, F.T. Yarman-Vural, “A Hierarchical Classification System Based on Adaptive Resonance Theory”, ICIP06, p.2913-16, 2006.
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E. Akbaş, F.T. Yarman-Vural, “Design of Feature Set for Face Recognition Problem”, Lecture Notes in Computer Science, ISCIS 2006, pp.239-47, 2006.
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N. Arica, F.T. Yarman-Vural, “Shape Similarity Measurement for Boundary Based Features”, Lecture Notes in Computer Science, ISBN 3-540-29069-9, 3656, pp.431-438, 2005.
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M. Uysal and F.T. Yarman-Vural, “ORF-NT: An Object-Based Image Retrieval Framework Using Neighborhood Trees”, Lecture Notes in Computer Science 37332005, ISBN 3-540-29414-7 SCIS2005, p.595-605, 2005.
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M. Uysal, F.T. Yarman-Vural, “A Content Based Image Retrieval System Based On the Fuzzy ARTMAP Architecture”, ACM Multimedia, 2004.
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M.Uysal, F.T. Yarman-Vural, “Selection of The Best Representative Feature and Membership Assignment For Content-Based Fuzzy Image Database”, International Conference on Image and Vidor Retrieval (CIVR), 2003.
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N. Arıca and F.T. Yarman-Vural, “A Compact Shape Descriptor Based on the Beam Angle Statistics”, International Conference on Image and Vidor Retrieval (CIVR), 2003.
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N. Arıca, F.T. Yarman-Vural, “A Perceptual Shape Descriptor”, International Conference on Pattern Recognition ICPR, 2002.
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A. Çarkacıoğlu, F.T. Yarman-Vural “Learning Similarity Space”, Proc. Int. Conf. on Processing ICIP02, pp. 405-408, Rochester, NY, USA, September 2002.
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N. Arıca, F.T. Yarman-Vural, “A Perceptual Shape Descriptor”, Proc. International Conference on Pattern Recognition (ICPR) Quebec, Canada, 2002.
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A. Çarkacıoğlu, F.T. Yarman-Vural “SASI: A New Texture Descriptor for Image Retrieval”, Proc. Int. Conf. on Image Proc. ICIP01, pp. 137-140, Thesselenoki, Greece, 2001.
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N. Arıca, F.T. Yarman-Vural, “A Shape Descriptor Based on Circular Hidden Markov Model”, Proc. International Conference on Pattern Recognition(ICPR), 2000, Barcelona, Spain.
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P. Duygulu, E. Saber, M. Tekalp, F.T. Yarman-Vural, “Multi-Level Image Segmentation for Content Based Image Representation” IEEE-ICASSP-2000, July 2000, Istanbul.
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P. Duygulu, A. Çarkacıoğlu, F.T. Yarman-Vural, “Multi-Level Object Description: Color or Texture”, First IEEE Balkan Conference on Signal Processing, Communications, Circuits, and Systems, June 1-3, 2000, Istanbul, Turkey.
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N. Dicle, F.T. Yarman-Vural, NES A File Format for Content Based Coding of Images, ISCIS 15, 2000, Istanbul.
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N. Arıca, F.T. Yarman-Vural, “A New HMM Topology for Shape Recognition” IEEE-EURASIP Workshop on Nonlinear Signal and Image Processing (NSIP’99), pp. 162-168, Antalya TURKEY, 1999.
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S. Genc, F.T. Yarman-Vural, “Morphing for Motion Estimation” Int.Conf. on Image Processing Systems, and Technologiesand Information Systems, Las Vegas 1999.
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N. Arica, F.T. Yarman-Vural, “A New Scheme for Off-Line Handwritten Connected Digit Recognition”, Proc. International Conference on Pattern Recognition (ICPR), Brisbane, Australia, pp.1127-1131, 1998.
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N. Arica, F.T. Yarman-Vural “One Dimensional Representation Of Two Dimensional Information For Hmm Based Handwritten Recognition”, Proc. IEEE International Conference on Image Processing (ICIP) October, Chicago, U.S.A. 1998.
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N. Arıca, F.T. Yarman-Vural, “Off-Line Handwritten Connected Character Recognition”, Proc. International Conference on Intelligent Processing Systems (ICIPS), pp.562-567, 1998.
- M. Uysal, F.T. Yarman-Vural, “A Fast Color Quantization Algorithm Using One Dimensional Color Intervals”, IEEE Int. Conference on Image Processing (ICIP) Vol: 3. pp. 1082-87, 1998.
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F.T. Yarman-Vural, A. Carkacioglu, “Ottoman Archives in Image Database”, SPIE, Electronic Imaging Working Group Newsletter, pp. 7, January 1998 (Invited)
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M.A. Ozdil, F.T. Yarman-Vural, N. Arica, “Optical Character Recognition Without Segmentation, Lecture Notes on Computer Science, vol.1311, ed. A.Del Bimbo, Springer, pp. 609-615, 1997.
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N. Arıca, F.T. Yarman-Vural “HMM Based Handwritten Recognition”, ISCIS XII, pp: 260-266, 1997.
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A. Çarkacıoğlu, F.T. Yarman-Vural, “Set of Texture Similarity Measures”, Electronic Imaging 97, Machine Vision Applications in Industrial Inspection, SPIE Proceedings Vol. 3029, pp. 118-127, San Jose, 1997.
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M.A. Özdil, F.T. Yarman Vural, “Optical Character Recognition Without Segmentation”, Proc. IAPR Int. Conf. on Document Analysis and Recognition, vol:2, pp 483-487, Germany, 1997.
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A. Çarkacıoğlu, F.T. Yarman Vural, “A Set of Similarity Measures for Binary and Gray Level Markov Random Fields Textures”, IAPR – ICIAP Lecture Notes on Computer Science ISSN 0302-9743, vol. 1310, pp. 127-134, September 17-19, 1997.
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M.A. Ozdil, F.T. Yarman Vural, N. Arica, “Optical Character Recognition Without Segmentation”, Lecture Notes on Computer Science, vol.1311, ed. A.Del Bimbo, Springer, pp. 609-615, 1997.
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E. Oztop, A. Mulayim, V. Atalay, F.T. Yarman Vural, “Baseline Extraction on Document Images by Repulsive Atractive Network”, Proc. IEEE-Int. Conf. on Acous. Speech and Signal Proces, Munich, Germany, 1997.
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N. Arıca, F.T. Yarman Vural, “HMM Based Handwritten Recognition”, ISCIS, XII, pp. 260-6, 1997.
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A. Çarkacıoğlu, F.T. Yarman Vural, “Texture Similarity Measures for Markov Random Fields Model”, International Symposium on Computer and Information Systems IX (ISCIS), vol. 1, pp. 63-72, 1996.
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A. Atıcı, F.T. Yarman Vural, “Optical Character Recognition of Arabic Script” Proc. VCIP-SPIE, vol. 2, pp. 725-748, 1996.
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A. Çarkacıoğlu, F.T. Yarman Vural, “Texture Similarity Measures for Markov Random Fields Model”, International Symposium on Computer and Information Systems IX (ISCIS), vol.1, pp. 63-72, Antalya, 1996.
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A. Şişman, F.T. Yarman Vural, “Ottoman Transcription System”, Proc. ISCIS-IX, 1996.
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E. Öztop, A. Mülayim, S. Gül, F.T. Yarman Vural, A. Atalay, “A New Method for Baseline Extraction on Document Images”, Proc. Int Conf on COMCON, Greece, 1995.
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F.T. Yarman Vural, A. Atıcı, “A Segmentation and Feature Extraction Algorithm for Ottoman Cursive Script”, Proc. The Third Turkish Symposium on Artificial Intelligence and Neural Networks, June 1994.
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F.T. Yarman Vural, B. Onaral, “Enhanced Parametric Estimation of Electroencephalogram Under Acceleration Stress”, Proc. IEEE Conf. on Engineering in Medicine, Philadelphia, 1990.
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F.T. Yarman Vural, O. Şener, “Texture Generation and Estimation Techniques Using Markov Random Fields Model”, ISCIS-V, Ürgüp, 1990.
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F.T. Yarman Vural, “Utilizing the Information Systems Technology for Ottoman Archives”, COMLIS: III; Istanbul, 1989.
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N. Yalabık, A. Mansour, F.T. Yarman Vural, “A New Approach For Template Selection for Speaker Independent Isolated Word Recognition”, Proc. of NATO-ASI, BadWinshaim Germany 1987.
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F.T. Yarman Vural, “The Generalized H-Lattice Filter and Estimation of the ARMA Models”, Info. Science and Systems Conf, pp. 323-329, Princeton Univ. NJ 1986.
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F.T. Yarman Vural, L. Paarmann, “Noise Reduction in Speech by Linear Prediction”, IEEE Workshop on Application of Signal Processing to Audio and Acoustics, New York, 1986.