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Umut Ozertem
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Publications
- 2016
- [j12]Haibo He, Nitesh V. Chawla, Huanhuan Chen, Yoonsuck Choe, Andries P. Engelbrecht, Jaya deva, Lyle N. Long, Ali A. Minai, Feiping Nie, Umut Ozertem, Barak A. Pearlmutter, Ling Shao, Jennie Si, Jochen J. Steil, Brijesh K. Verma, Ding Wang:
Editorial IEEE Transactions on Neural Networks and Learning Systems 2016 and Beyond. IEEE Trans. Neural Networks Learn. Syst. 27(1): 1-7 (2016) - 2015
- [c29]Harish Arsikere, Elizabeth Shriberg, Umut Ozertem:
Enhanced End-of-Turn Detection for Speech to a Personal Assistant. AAAI Spring Symposia 2015 - 2014
- [c26]Harish Arsikere, Elizabeth Shriberg, Umut Ozertem:
Computationally-efficient endpointing features for natural spoken interaction with personal-assistant systems. ICASSP 2014: 3241-3245 - 2011
- [j11]Umut Ozertem, Deniz Erdogmus:
Locally Defined Principal Curves and Surfaces. J. Mach. Learn. Res. 12: 1249-1286 (2011) - 2010
- [c19]Misha Pavel, Holly Brügge Jimison, Tamara L. Hayes, Nicole Larimer, Stuart Hagler, Yves Vimegnon, Todd K. Leen, Umut Ozertem:
Optimizing Medication Reminders Using a Decision-Theoretic Framework. MedInfo 2010: 791-795 - 2009
- [j10]Umut Ozertem, Deniz Erdogmus:
Second-Order Volterra System Identification With Noisy Input-Output Measurements. IEEE Signal Process. Lett. 16(1): 18-21 (2009) - [j9]Umut Ozertem, Deniz Erdogmus:
RKHS Bayes Discriminant: A Subspace Constrained Nonlinear Feature Projection for Signal Detection. IEEE Trans. Neural Networks 20(7): 1195-1203 (2009) - [j8]Umut Ozertem, Deniz Erdogmus:
Principal curve time warping. IEEE Trans. Signal Process. 57(6): 2041-2049 (2009) - [c17]Ervin Sejdic, Umut Ozertem, Igor Djurovic, Deniz Erdogmus:
A new approach for the reassignment of time-frequency representations. ICASSP 2009: 2997-3000 - [c16]Jayashree Kalpathy-Cramer, Umut Ozertem, William R. Hersh, Martin Fuss, Deniz Erdogmus:
Robust segmentation using non-parametric snakes with multiple cues for applications in radiation oncology. Medical Imaging: Image Processing 2009: 72594S - 2008
- [j7]Umut Ozertem, Deniz Erdogmus, Robert Jenssen:
Mean shift spectral clustering. Pattern Recognit. 41(6): 1924-1938 (2008) - [j6]Puskal P. Pokharel, Umut Ozertem, Deniz Erdogmus, José C. Príncipe:
Recursive complex BSS via generalized eigendecomposition and application in image rejection for BPSK. Signal Process. 88(6): 1368-1381 (2008) - [j5]Umut Ozertem, Ismail Uysal, Deniz Erdogmus:
Continuously Differentiable Sample-Spacing Entropy Estimation. IEEE Trans. Neural Networks 19(11): 1978-1984 (2008) - [c15]Umut Ozertem, Deniz Erdogmus:
Local conditions for critical and principal manifolds. ICASSP 2008: 1893-1896 - [c14]Umut Ozertem, Deniz Erdogmus, Miguel Á. Carreira-Perpiñán:
Density geodesics for similarity clustering. ICASSP 2008: 1977-1980 - [c13]Umut Ozertem, Deniz Erdogmus:
Signal denoising using principal curves: Application to timewarping. ICASSP 2008: 3709-3712 - [p1]Deniz Erdogmus, Umut Ozertem, Tian Lan:
Information Theoretic Feature Selection and Projection. Speech, Audio, Image and Biomedical Signal Processing using Neural Networks 2008: 1-22 - 2007
- [j4]Umut Ozertem, Deniz Erdogmus:
Nonparametric Snakes. IEEE Trans. Image Process. 16(9): 2361-2368 (2007) - [j3]Umut Ozertem, Deniz Erdogmus:
Information Regularized Sensor Fusion: Application to Localization With Distributed Motion Sensors. J. VLSI Signal Process. 49(2): 291-299 (2007) - [c12]Deniz Erdogmus, Umut Ozertem:
Self-Consistent Locally Defined Principal Surfaces. ICASSP (2) 2007: 549-552 - [c11]Puskal P. Pokharel, Umut Ozertem, Deniz Erdogmus, José C. Príncipe:
Recursive Complex Blind Source Separation via Eigendecomposition of Cumulant Matrices. ICASSP (2) 2007: 645-648 - [c10]Umut Ozertem, Deniz Erdogmus:
Information Regularized Maximum Likelihood for Binary Motion Sensors. ICASSP (2) 2007: 1021-1024 - [c9]Deniz Erdogmus, Umut Ozertem:
Nonlinear Coordinate Unfolding Via Principal Curve Projections with Application to Nonlinear BSS. ICONIP (2) 2007: 488-497 - [c8]Umut Ozertem, Andras Gruber, Deniz Erdogmus:
Automatic Brain Image Segmentation for Evaluation of Experimental Ischemic Stroke Using Gradient vector flow and kernel annealing. IJCNN 2007: 1397-1400 - [c7]Umut Ozertem, Deniz Erdogmus:
A Nonparametric Approach for Active Contours. IJCNN 2007: 1407-1410 - 2006
- [j2]Umut Ozertem, Deniz Erdogmus, Robert Jenssen:
Spectral feature projections that maximize Shannon mutual information with class labels. Pattern Recognit. 39(7): 1241-1252 (2006) - [j1]Anant Hegde, José Carlos Príncipe, Deniz Erdogmus, Umut Ozertem, Yadunandana N. Rao, Hemanth Peddaneni:
Perturbation-Based Eigenvector Updates for On-Line Principal Components Analysis and Canonical Correlation Analysis. J. VLSI Signal Process. 45(1-2): 85-95 (2006) - [c6]Umut Ozertem, Deniz Erdogmus, Tian Lan:
Recursive Generalized Eigendecomposition for Independent Component Analysis. ICA 2006: 198-205 - [c5]Umut Ozertem, Deniz Erdogmus, Tian Lan:
Mean Shift Spectral Clustering for Perceptual Image Segmentation. ICASSP (2) 2006: 117-120 - [c4]Deniz Erdogmus, Miguel Á. Carreira-Perpiñán, Umut Ozertem:
Kernel Density Estimation, Affinity-Based Clustering, And Typical Cuts. ICASSP (5) 2006: 569-572 - [c3]Umut Ozertem, Deniz Erdogmus:
Clustering with Normalized Information Potential Constrained Maximum Entropy Boltzmann Distribution. IJCNN 2006: 4892-4897 - [c2]Tian Lan, Deniz Erdogmus, Umut Ozertem, Yonghong Huang:
Estimating Mutual Information Using Gaussian Mixture Model for Feature Ranking and Selection. IJCNN 2006: 5034-5039 - 2005
- [c1]Umut Ozertem, Deniz Erdogmus, Ignacio Santamaría:
Detection of nonlinearly distorted signals using mutual information. EUSIPCO 2005: 1-4
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