Publications

Here is my full list of publications with links to the newer papers. You can find the all the older papers in my PhD advisor’s website, or in Google Scholar. Please let me know if you have any trouble accessing any of them.

Many people ask for codes for principal curve/surfaces; here you go.

Peer Reviewed Journal Publications

[J14] Sihem Amer-Yahia (editor) – with 16 co-authors from Yahoo!, “Recommendation Projects at Yahoo!,” IEEE Data Engineering Bulletin, vol. 34,   no. 2,  pp 69–77, 2011 [pdf]

[J13] U. Ozertem, D. Erdogmus, “Principal Curves and Surfaces Emerge from Local Density Structure,” Journal of Machine Learning Research, vol. 12, pp. 1249-1286, 2011 [pdf]

[J12] T. Hayes, M. Pavel, J. Lundell, F. Guilak, S. Vurgun, U. Ozertem, K. Rhodes, C. Cobbinah, “A Longitudinal Study of Medication-Taking Adherence and Unobtrusive, Intelligent Reminding”, Telemedicine and E-health, October 2009.

[J11] U. Ozertem, D. Erdogmus, “RKHS Bayes Discriminant: A Subspace Constrained Detection Filter,” IEEE Trans. on Neural Networks, vol 20, no. 1, pp 1195-1203, 2009.

[J10] U. Ozertem, D. Erdogmus, “Principal Curve Time Warping,” IEEE Trans. on Signal Processing, vol. 57, no. 6, pp.2041-2049, 2009.

[J9] U. Ozertem, I. Uysal, D. Erdogmus, “Continuously Differentiable Sample Spacing Entropy Estimation,” IEEE Trans. on Neural Networks, vol. 19, no. 11, pp. 1978-1984, 2008.

[J8] U. Ozertem, D. Erdogmus, “Second Order Volterra System Identication with Noisy Input-Output Measurements,” IEEE Signal Processing Letters, vol. 16, no. 1, pp. 18-21, 2008.

[J7] D. Erdogmus, U. Ozertem, T. Lan, “Information Theoretic Feature Selection and Projection,” Speech, Audio, Image and Biomedical Signal Processing using Neural Networks, Springer-Verlag, 2008.

[J6] P. P. Pokharel, U. Ozertem, D. Erdogmus, J. C. Principe, “Recursive Complex BSS via Generalized Eigendecomposition and Application in Image Rejection for BPSK,” Signal Processing, vol. 88, no. 6, pp. 1368-1381, 2008.

[J5] U. Ozertem, D. Erdogmus, R. Jenssen, “Mean Shift Spectral Clustering,” Pattern Recognition, vol. 41, no. 6, pp. 1924-1938, 2008.

[J4] U. Ozertem, D. Erdogmus “Nonparametric Snakes,” IEEE Trans. on Image Processing, vol. 16, no. 9, pp. 2361-2368, 2007.

[J3] U. Ozertem, D. Erdogmus “Information Regularized Sensor Fusion: Application to Localization with Distributed Motion Sensors,” JVLSI Signal Processing, vol. 49, no. 2, pp.291-299, 2007.

[J2] A. Hegde, D. Erdogmus, Y. N. Rao, H. Peddaneni, U. Ozertem, J. C.Principe, “Perturbation-based Eigenvector Updates for On-line Principal Components Analysis and Canonical Correlation Analysis,” Journal of VLSI Signal Processing Systems, vol. 45, no. 1-2, pp. 85-95, 2006.

[J1] U. Ozertem, D. Erdogmus, R. Jenssen, “Spectral Feature Projections That Maximize Shannon Mutual Information with Class Labels,” Pattern Recognition, vol. 39, no. 7, pp. 1241-1252, 2006.

Peer Reviewed Conference Publications

[C38] Ahmed Hassan Awadallah, Ranjitha Gurunath Kulkarni, Umut Ozertem and Rosie Jones. “Characterizing and Predicting Voice Query Reformulation” CIKM 2015 [pdf]

[C37] Jiepu Jiang, Ahmed Hassan Awadallah, Rosie Jones, Umut Ozertem, Imed Zitouni, Ranjitha Gurunath Kulkarni, Omar Zia Khan, “Automatic Online Evaluation of Intelligent Assistants” WWW 2015 [pdf]

[C36] Harish Arsikere, Elizabeth Shriberg, Umut Ozertem, “Enhanced end-of-turn detection for speech to a personal assistant” AAAI 2015 [pdf]

[C35] Milad Shokouhi, Rosie Jones, Umut Ozertem, Karthik Raghunathan, Fernando Diaz, “Mobile Query Reformulations” SIGIR 2014 [pdf]

[C34] Harish Arsikere, Elizabeth Shriberg, Umut Ozertem, “Computationally-efficient endpointing features for natural spoken interaction with personal assistant systems” ICASSP 2014 [pdf]

[C33] Umut Ozertem, Olivier Chapelle, Pinar Donmez, Emre Velipasaoglu, “Learning to Suggest: A Machine Learning Framework for Ranking Query Suggestions”, SIGIR 2012 [pdf]

[C32] Luca Maria Aiello, Umut Ozertem, Debora Donato, Filippo Menczer, “Behavior-driven clustering of queries into topics”, CIKM2011 [pdf]

[C31] Umut Ozertem, Emre Velipasaoglu, Larry Lai “Suggestion Set Utility Maximization Using Session Logs”, CIKM2011 [pdf]

[C30] Alpa Jain, Umut Ozertem, Emre Velipasaoglu, “Synthesizing High Utility Suggestions for Rare Web Search Queries”, SIGIR2011 [pdf]

[C29] Umut Ozertem, Rosie Jones and Benoit Dumoulin, “Evaluating New Search Engine Congurations with Pre-existing Judgments and Clicks”, WWW2011 [pdf]

[C28] H Ceylan, R Mihalcea, U Ozertem, E Lloret, M Palomar, “Quantifying the Limits and Success of Extractive Summarization Systems Across Domains”, NAACL 2010 [pdf]

[C27] S. V. Vaerenbergh, I. Santamaria, P. E. Barbano, U. Ozertem, D. Erdogmus, “Path-based Spectral Clustering for Decoding Fast Time-varying MIMO Channels,” MLSP 2009.

[C26] J. Kalpathy-Cramer, U. Ozertem, M. Fuss, D. Erdogmus, “Robust segmentation using nonparametric snakes with multiple cues for applications in radiation oncology,” SPIE Medical Imaging, vol. 7259, pp. 72594S — 72594S-9, 2009.

[C25] E. Sejdic, U. Ozertem, I. Djurovic, D. Erdogmus, “A New Approach for the Reassignment of Time-Frequency Representations,” IEEE Int. Conf. on Acoustics Speech and Signal Processing, pp. 2997 — 3000, 2009.

[C24] J. Kalphathy-Cramer, U. Ozertem, W. Hersh, M. Fuss, D. Erdogmus, “Semi-supervised Segmentation using Nonparametric Snakes for 3D-CT Applications in Radiation Oncology,” IEEE Int. Conf. on Machine Learning for Signal Processing, pp. 109 — 114, 2008.

[C23] U. Ozertem, D. Erdogmus “Principal Graphs and Piecewise Linear Subspace Constrained Mean Shift,” IEEE Int. Conf. on Machine Learning for Signal Processing, pp. 438 — 443, 2008.

[C22] U. Ozertem, D. Erdogmus, O. Arikan, “Piecewise Smooth Signal Denoising via Principal Curve Projections,” IEEE Int. Conf on Machine Learning for Signal Processing, pp. 426 — 431, 2008.

[C21] E. Bas, D. Erdogmus, U. Ozertem, M. Pavel, “Towards sh-eye camera based in-home activity assessment,” IEEE Int. Conf. of Engineering in Medicine and Biology Society, pp. 2558 — 2561, 2008.

[C20] U. Ozertem, D. Erdogmus, “Signal Denoising Using Principal Curves with an Application to Time Warping,” IEEE Int. Conf. on Acoustics Speech and Signal Processing, pp. 3709 — 3712, 2008.

[C19] U. Ozertem, D. Erdogmus, M. A. Carreira-Perpinan, “Density Geodesics for Similarity Clustering,” IEEE Int. Conf. on Acoustics Speech and Signal Processing, pp. 1977 — 1980, 2008.

[C18] U. Ozertem, D. Erdogmus, “Local Conditions for Critical and Principal Manifolds,” IEEE Int. Conf. on Acoustics Speech and Signal Processing, pp. 1893 — 1896, 2008.

[C17] D. Erdogmus, U. Ozertem, “Nonlinear Coordinate Unfolding via Principal Curve Projections with Application to Nonlinear BSS,” Int. Conf. on Neural Information Processing, pp. 488 — 497, 2007.

[C16] J. Lundell, T. Hayes, S. Vurgun, U. Ozertem, J. Kimel, J. A. Kaye, F. Guilak, M. Pavel “Continuous Activity Monitoring and Intelligent Contextual Prompting to Improve Medication Adherence,” IEEE Int. Conf. of Engineering in Medicine and Biology Society, pp. 6286 — 6289, 2007.

[C15] U. Ozertem, D. Erdogmus, “A Nonparametric Approach for Active Contours,” Proc. of Int. Joint. Conf. on Neural Networks, pp. 1407 –1410, 2007.

[C14] U. Ozertem, A. Gruber, D. Erdogmus, ” Automatic Brain Image Segmentation for Evaluation of Experimental Ishemic Stroke Using Gradient Vector Flow and Kernel Annealing,” Proc. of Int. Joint. Conf. on Neural Networks, pp. 1397 –1400, 2007.

[C13] D. Erdogmus, U. Ozertem, “Self-Consistent Locally Dened Principal Surfaces,” Proc. of Int. Conf. on Accoustics, Speech, and Signal Processing, vol. 2, pp. II-549 — II-552, 2007.

[C12] U. Ozertem, D. Erdogmus, “Information Regularized Maximum Likelihood for Binary Motion Sensors,” Int. Conf. on Accoustics, Speech, and Signal Processing, vol. 2, pp. II-1021 — II-1024, 2007.

[C11] P. P. Pokharel, U. Ozertem, D. Erdogmus, J. C. Principe, “Recursive Complex Blind Source Separation via Eigendecomposition of Cumulant Matrices,” ICASSP, vol. 2, pp. II-645 — II-648, 2007.

[C10] U. Ozertem, D. Erdogmus, “Maximum Entropy Approximation for Kernel Machines,” Proc. of Machine Learning for Signal Processing, pp. 349 — 352, 2006.

[C9] D. Erdogmus, U. Ozertem, “Clustering with Normalized Information Potential Constrained Maximum Entropy Boltzmann Distribution,” Proc. of Int. Joint Conf. on Neural Networks, pp. 4892 — 4897, 2006.

[C8] T. Lan, D. Erdogmus, U. Ozertem, Y. Huang, “Estimating Mutual Information Using Gaussian Mixture Model for Ranking and Selection,” Int. Joint Conf. on Neural Networks, pp. 5034 — 5039, 2006.

[C7] D. Erdogmus, M. A. Carreira-Perpinan U. Ozertem, “Kernel Density Estimation, Anity-Based Clustering, and Typical Cuts,” Proc. of Int. Conf. on Acoustics, Speech and Signal Processing, vol. 5, pp. V-569 — V-572, 2006.

[C6] U. Ozertem, D. Erdogmus, T. Lan, “Mean Shift Spectral Clustering for Perceptual Image Segmentation,” Int. Conf. on Acoustics, Speech and Signal Processing, vol. 2, pp. II–117 – II-120, 2006.

[C5] U. Ozertem, D. Erdogmus, T. Lan, “Recursive Generalized Eigendecomposition for Independent Components Analysis,” Lecture Notes in Computer Science, vol. 3889, pp. 198 — 205, 2006.

[C4] U. Ozertem, D. Erdogmus, “Supervised Neural Network Training Using Minimum Error Entropy with Variable-size and Finite-Support Kernel Estimates,” Proc. of Machine Learning for Signal Processing, pp. 67 — 72, Sep 2005.

[C3] U. Ozertem, D. Erdogmus, “Spectral Clustering with Mean Shift Preprocessing,” Proc. of Machine Learning for Signal Processing, pp. 73 — 78, Sep 2005.

[C2] U. Ozertem, D. Erdogmus, “Maximally Discriminative Spectral Feature Projections Using Mutual Information,” Proc. of Int. Joint Conf. on Neural Networks, vol. 1, pp. 208 — 213, Aug. 2005.

[C1] U. Ozertem, D. Erdogmus, I. Santamaria, “Detection of Nonlinearly Distorted Signals Using Mutual Information,” European Signal Processing Conference, 2005.

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