Nikolas P. Galatsanos

Publication Activity (10 Years)

Years Active: 1987-2011
Publications (10 Years): 0

Publications

Giorgos Sfikas, Christophoros Nikou, Nikolas P. Galatsanos, Christian Heinrich
Majorization-minimization mixture model determination in image segmentation. CVPR (2011)
Stefanos P. Belekos, Nikolas P. Galatsanos, Aggelos K. Katsaggelos
Maximum a posteriori super-resolution of compressed video with a novel multichannel image prior and a new observation model. EUSIPCO (2011)
Giannis K. Chantas, Nikolas P. Galatsanos, Rafael Molina, Aggelos K. Katsaggelos
Variational Bayesian Image Restoration With a Product of Spatially Weighted Total Variation Image Priors. IEEE Trans. Image Process. 19 (2) (2010)
Stefanos P. Belekos, Nikolas P. Galatsanos, Aggelos K. Katsaggelos
Maximum a Posteriori Video Super-Resolution Using a New Multichannel Image Prior. IEEE Trans. Image Process. 19 (6) (2010)
Christophoros Nikou, Aristidis Likas, Nikolas P. Galatsanos
A Bayesian Framework for Image Segmentation With Spatially Varying Mixtures. IEEE Trans. Image Process. 19 (9) (2010)
Giorgos Sfikas, Christophoros Nikou, Nikolas P. Galatsanos, Christian Heinrich
Spatially Varying Mixtures Incorporating Line Processes for Image Segmentation. J. Math. Imaging Vis. 36 (2) (2010)
Ashraf A. Tahat, Nikolas P. Galatsanos
Relevance vector machines for DMT based systems. CONIELECOMP (2010)
Ashraf A. Tahat, Nikolas P. Galatsanos
Relevance Vector Machines for Enhanced BER Probability in DMT-Based Systems. J. Electr. Comput. Eng. 2010 (2010)
Vasileios Chasanis, Aristidis Likas, Nikolas P. Galatsanos
Scene Detection in Videos Using Shot Clustering and Sequence Alignment. IEEE Trans. Multim. 11 (1) (2009)
Dimitris Tzikas, Aristidis Likas, Nikolas P. Galatsanos
Local Feature Selection for the Relevance Vector Machine Using Adaptive Kernel Learning. ICANN (1) (2009)
Dimitris Tzikas, Aristidis Likas, Nikolas P. Galatsanos
Variational Bayesian Sparse Kernel-Based Blind Image Deconvolution With Student's-t Priors. IEEE Trans. Image Process. 18 (4) (2009)
Giorgos Sfikas, Christian Heinrich, Jihad Zallat, Christophoros Nikou, Nikolas P. Galatsanos
Joint recovery and segmentation of polarimetric images using a compound MRF and mixture modeling. ICIP (2009)
Dimitris Tzikas, Aristidis Likas, Nikolas P. Galatsanos
Sparse Bayesian Modeling With Adaptive Kernel Learning. IEEE Trans. Neural Networks 20 (6) (2009)
Vasileios Chasanis, Aristidis Likas, Nikolas P. Galatsanos
Simultaneous detection of abrupt cuts and dissolves in videos using support vector machines. Pattern Recognit. Lett. 30 (1) (2009)
Apostolos Marakakis, Nikolas P. Galatsanos, Aristidis Likas, Andreas Stafylopatis
Relevance Feedback for Content-Based Image Retrieval Using Support Vector Machines and Feature Selection. ICANN (1) (2009)
Stefanos P. Belekos, Nikolas P. Galatsanos, S. Derin Babacan, Aggelos K. Katsaggelos
Maximum a posteriori super-resolution of compressed video using a new multichannel image prior. ICIP (2009)
Apostolos Marakakis, Nikolas P. Galatsanos, Aristidis Likas, Andreas Stafylopatis
Combining Gaussian Mixture Models and Support Vector Machines for Relevance Feedback in Content Based Image Retrieval. AIAI (2009)
Konstantinos Blekas, Christophoros Nikou, Nikolas P. Galatsanos, Nikolaos V. Tsekos
A Regression Mixture Model with Spatial Constraints for Clustering Spatiotemporal Data. Int. J. Artif. Intell. Tools 17 (5) (2008)
Vasileios Chasanis, Aristidis Likas, Nikolas P. Galatsanos
Video rushes summarization using spectral clustering and sequence alignment. TVS (2008)
Konstantinos Blekas, Nikolas P. Galatsanos, Aristidis Likas
A Sparse Regression Mixture Model for Clustering Time-Series. SETN (2008)
Stefanos P. Belekos, Nikolas P. Galatsanos, Aggelos K. Katsaggelos
Maximum a posteriori video super-resolution with a new multichannel image prior. EUSIPCO (2008)
Vasileios Chasanis, Aristidis Likas, Nikolas P. Galatsanos
Efficient Video Shot Summarization Using an Enhanced Spectral Clustering Approach. ICANN (1) (2008)
Giorgos Sfikas, Christophoros Nikou, Nikolas P. Galatsanos, Christian Heinrich
MR Brain Tissue Classification Using an Edge-Preserving Spatially Variant Bayesian Mixture Model. MICCAI (1) (2008)
Antonis Mairgiotis, Nikolas P. Galatsanos, Yongyi Yang
New Additive Watermark Detectors Based On A Hierarchical Spatially Adaptive Image Model. IEEE Trans. Inf. Forensics Secur. 3 (1) (2008)
Giorgos Sfikas, Christophoros Nikou, Nikolas P. Galatsanos
Edge preserving spatially varying mixtures for image segmentation. CVPR (2008)
Dimitris G. Tzikas, Aristidis C. Likas, Nikolas P. Galatsanos
The variational approximation for Bayesian inference. IEEE Signal Process. Mag. 25 (6) (2008)
Apostolos Marakakis, Nikolas P. Galatsanos, Aristidis Likas, Andreas Stafylopatis
Application of Relevance Feedback in Content Based Image Retrieval Using Gaussian Mixture Models. ICTAI (1) (2008)
Dimitris Tzikas, Aristidis Likas, Nikolas P. Galatsanos
Incremental Relevance Vector Machine with Kernel Learning. SETN (2008)
Evangelos Fotiou, Christophoros Nikou, Nikolas P. Galatsanos
A spatially adaptive hierarchical stochastic model for non-rigid image registration. EUSIPCO (2008)
Giannis K. Chantas, Nikolas P. Galatsanos, Aristidis Likas, Michael A. Saunders
Variational Bayesian Image Restoration Based on a Product of t-Distributions Image Prior. IEEE Trans. Image Process. 17 (10) (2008)
Dimitris Tzikas, Aristidis Likas, Nikolas P. Galatsanos
Large Scale Multikernel Relevance Vector Machine for Object Detection. Int. J. Artif. Intell. Tools 16 (6) (2007)
Antonis Mairgiotis, Nikolas P. Galatsanos, Yongyi Yang
Additive Watermark Detectors Based on a New Hierarchical Spatially Adaptive Image Model. ICIP (5) (2007)
Christophoros Nikou, Nikolas P. Galatsanos, Aristidis Likas
A Class-Adaptive Spatially Variant Mixture Model for Image Segmentation. IEEE Trans. Image Process. 16 (4) (2007)
Ana S. Lukic, Miles N. Wernick, Dimitris Tzikas, Xu Chen, Aristidis Likas, Nikolas P. Galatsanos, Yongyi Yang, E. Zhao, Stephen C. Strother
Bayesian Kernel Methods for Analysis of Functional Neuroimages. IEEE Trans. Medical Imaging 26 (12) (2007)
Dimitris Tzikas, Aristidis Likas, Nikolas P. Galatsanos
Robust variational bayesian kernel based blind image deconvolution. VISAPP (Special Sessions) (2007)
Konstantinos Blekas, Christophoros Nikou, Nikolas P. Galatsanos, Nikolaos V. Tsekos
Curve Clustering with Spatial Constraints for Analysis of Spatiotemporal Data. ICTAI (1) (2007)
Vasileios Chasanis, Aristidis Likas, Nikolas P. Galatsanos
Scene Detection in Videos Using Shot Clustering and Symbolic Sequence Segmentation. MMSP (2007)
Dimitris Tzikas, Aristidis Likas, Nikolas P. Galatsanos
Variational Bayesian Blind Image Deconvolution with Student-T Priors. ICIP (1) (2007)
Giannis K. Chantas, Nikolas P. Galatsanos, Nathan A. Woods
Super-Resolution Based on Fast Registration and Maximum a Posteriori Reconstruction. IEEE Trans. Image Process. 16 (7) (2007)
Giorgos Sfikas, Christophoros Nikou, Nikolas P. Galatsanos
Robust Image Segmentation with Mixtures of Student's t-Distributions. ICIP (1) (2007)
Dimitris Tzikas, Aristidis Likas, Nikolas P. Galatsanos
Large Scale Multikernel RVM for Object Detection. SETN (2006)
Miles N. Wernick, Yongyi Yang, Jovan G. Brankov, Liyang Wei, Nikolas P. Galatsanos, Issam El-Naqa
Machine learning of human responses to images. Computational Imaging (2006)
Apostolos Marakakis, Nikolas P. Galatsanos, Aristidis Likas, Andreas Stafylopatis
A Relevance Feedback Approach for Content Based Image Retrieval Using Gaussian Mixture Models. ICANN (2) (2006)
Giannis K. Chantas, Nikolas P. Galatsanos, Aristidis Likas
Bayesian Restoration Using a New Nonstationary Edge-Preserving Image Prior. IEEE Trans. Image Process. 15 (10) (2006)
Dimitris Tzikas, Aristidis Likas, Nikolas P. Galatsanos
Variational Bayesian blind image deconvolution based on a sparse kernel model for the point spread function. EUSIPCO (2006)
Nathan A. Woods, Nikolas P. Galatsanos, Aggelos K. Katsaggelos
Stochastic methods for joint registration, restoration, and interpolation of multiple undersampled images. IEEE Trans. Image Process. 15 (1) (2006)
Ping Dong, Jovan G. Brankov, Nikolas P. Galatsanos, Yongyi Yang, Franck Davoine
Digital watermarking robust to geometric distortions. IEEE Trans. Image Process. 14 (12) (2005)
John Chantas, Nikolas P. Galatsanos, Aristidis Likas
Maximum a posteriori image restoration based on a new directional continuous edge image prior. ICIP (1) (2005)
Ahmad Abu-Naser, Nikolas P. Galatsanos, Miles N. Wernick
Generalized likelihood ratio test based algorithms for object recognition in photon-limited images. ICIP (3) (2005)
Nathan A. Woods, Nikolas P. Galatsanos
Non-stationary approximate Bayesian super-resolution using a hierarchical prior model. ICIP (1) (2005)
Konstantinos Blekas, Nikolas P. Galatsanos, Aristidis Likas, Isaac E. Lagaris
Mixture model analysis of DNA microarray images. IEEE Trans. Medical Imaging 24 (7) (2005)
Konstantinos Blekas, Aristidis Likas, Nikolas P. Galatsanos, Isaac E. Lagaris
A spatially constrained mixture model for image segmentation. IEEE Trans. Neural Networks 16 (2) (2005)
Giorgos Sfikas, Constantinos Constantinopoulos, Aristidis Likas, Nikolas P. Galatsanos
An Analytic Distance Metric for Gaussian Mixture Models with Application in Image Retrieval. ICANN (2) (2005)
Giannis K. Chantas, Nikolas P. Galatsanos, Aristidis Likas
Non Stationary Bayesian Image Restoration. ICPR (4) (2004)
Dimitris Tzikas, Aristidis Likas, Nikolas P. Galatsanos, Ana S. Lukic, Miles N. Wernick
Relevance Vector Machine Analysis of Functional Neuroimages. ISBI (2004)
Ana S. Lukic, Miles N. Wernick, Yongyi Yang, Nikolas P. Galatsanos, Stephen C. Strother
Reversible Jump Markov Chain Monte Carlo Signal Detection In Functional Neuroimaging Analysis. ISBI (2004)
Aristidis Likas, Nikolas P. Galatsanos
A variational approach for Bayesian blind image deconvolution. IEEE Trans. Signal Process. 52 (8) (2004)
Issam El-Naqa, Yongyi Yang, Nikolas P. Galatsanos, Miles N. Wernick
Mammogram Retrieval Based On Incremental Learning. ISBI (2004)
Issam El-Naqa, Yongyi Yang, Nikolas P. Galatsanos, Robert M. Nishikawa, Miles N. Wernick
A similarity learning approach to content-based image retrieval: application to digital mammography. IEEE Trans. Medical Imaging 23 (10) (2004)
Konstantinos Blekas, Aristidis Likas, Nikolas P. Galatsanos, Isaac E. Lagaris
Mixture model based image segmentation with spatial constraints. EUSIPCO (2004)
Dimitris G. Tzikas, Aristidis Likas, Nikolas P. Galatsanos, Ana S. Lukic, Miles N. Wernick
Bayesian regression of functional neuroimages. EUSIPCO (2004)
Aristidis Likas, Nikolas P. Galatsanos
A variational method for Bayesian blind image deconvolution. ICIP (2) (2003)
Nathan A. Woods, Nikolas P. Galatsanos, Aggelos K. Katsaggelos
EM-based simultaneous registration, restoration, and interpolation of super-resolved images. ICIP (2) (2003)
Yongyi Yang, Jovan G. Brankov, Nikolas P. Galatsanos
Content-adaptive mesh modeling for image restoration. Computational Imaging (2003)
Jovan G. Brankov, Yongyi Yang, Nikolas P. Galatsanos
Image restoration using content-adaptive mesh modeling. ICIP (2) (2003)
Konstantinos Blekas, Nikolas P. Galatsanos, Ion Georgiou
An unsupervised artifact correction approach for the analysis of DNA microarray images. ICIP (2) (2003)
Issam El-Naqa, Yongyi Yang, Nikolas P. Galatsanos, Miles N. Wernick
Relevance feedback based on incremental learning for mammogram retrieval. ICIP (1) (2003)
Ping Dong, Nikolas P. Galatsanos
Geometric robust watermarking through watermark pattern shaping. ICIP (1) (2003)
Ping Dong, Nikolas P. Galatsanos
Affine transformation resistant watermarking based on image normalization. ICIP (3) (2002)
Ahmad Abu-Naser, Nikolas P. Galatsanos, Miles N. Wernick
ML and Bayesian impulse restoration based object recognition in photon limited noise. ICIP (2) (2002)
Roger M. Dufour, Eric L. Miller, Nikolas P. Galatsanos
Template matching based object recognition with unknown geometric parameters. IEEE Trans. Image Process. 11 (12) (2002)
Ping Dong, Jovan G. Brankov, Nikolas P. Galatsanos, Yongyi Yang
Geometric robust watermarking based on a new mesh model correction approach. ICIP (3) (2002)
Issam El-Naqa, Yongyi Yang, Miles N. Wernick, Nikolas P. Galatsanos
Content-based image retrieval for digital mammography. ICIP (3) (2002)
Issam El-Naqa, Yongyi Yang, Miles N. Wernick, Nikolas P. Galatsanos, Robert M. Nishikawa
A support vector machine approach for detection of microcalcifications in mammograms. ICIP (2) (2002)
Issam El-Naqa, Yongyi Yang, Miles N. Wernick, Nikolas P. Galatsanos, Robert M. Nishikawa
A Support Vector Machine Approach for Detection of Microcalcifications. IEEE Trans. Medical Imaging 21 (11) (2002)
Ana S. Lukic, Miles N. Wernick, Nikolas P. Galatsanos, Yongyi Yang, Stephen C. Strother
A reversible jump Markov chain Monte Carlo algorithm for analysis of functional neuroimages. ICIP (3) (2002)
Issam El-Naqa, Yongyi Yang, Miles N. Wernick, Nikolas P. Galatsanos, Robert M. Nishikawa
Support vector machine learning for detection of microcalcifications in mammograms. ISBI (2002)
Jovan G. Brankov, Yongyi Yang, Nikolas P. Galatsanos, Miles N. Wernick
Similarity based clustering using the expectation maximization algorithm. ICIP (1) (2002)
Liu Li, Nikolas P. Galatsanos, Diane Bless
Eigenfolds: a new approach for analysis of vibrating vocal folds. ISBI (2002)
Khalil C. Haddad, Yongyi Yang, Nikolas P. Galatsanos, Henry Stark
Allpass filter design using projection-based method under group delay constraints. ICASSP (2001)
Boris Marendic, Nikolas P. Galatsanos, Diane Bless
New active contour algorithm for tracking vibrating vocal folds. ICIP (1) (2001)
Issam El-Naqa, Miles N. Wernick, Yongyi Yang, Nikolas P. Galatsanos
Image Retrieval Based on Similarity Learning. ICIP (2000)
Nikolas P. Galatsanos, Vladimir Z. Mesarovic, Rafael Molina, Aggelos K. Katsaggelos
Hierarchical Bayesian image restoration from partially known blurs. IEEE Trans. Image Process. 9 (10) (2000)
Roger M. Dufour, Eric L. Miller, Nikolas P. Galatsanos
Impulse Restoration Template Matching Under Geometric Uncertainties. ICIP (2000)
Chun-Jen Tsai, Passant V. Karunaratne, Nikolas P. Galatsanos, Aggelos K. Katsaggelos
A Compressed Video Enhancement Algorithm. ICIP (3) (1999)
Khalil C. Haddad, Henry Stark, Nikolas P. Galatsanos
Design of digital linear-phase FIR crossover systems for loudspeakers by the method of vector space projections. IEEE Trans. Signal Process. 47 (11) (1999)
Wenwu Zhu, Yao Wang, Nikolas P. Galatsanos, Jun Zhang
Regularized total least squares approach for nonconvolutional linear inverse problems. IEEE Trans. Image Process. 8 (11) (1999)
Chun-Jen Tsai, Nikolas P. Galatsanos, Aggelos K. Katsaggelos
Optical flow estimation from noisy data using differential techniques. ICASSP (1999)
Chun-Jen Tsai, Nikolas P. Galatsanos, Aggelos K. Katsaggelos
Maximum-likelihood optical flow estimation using differential constraints. NSIP (1999)
Jovan G. Brankov, Jaksa Djordjevic, Miles N. Wernick, Nikolas P. Galatsanos
Tomographic Image Reconstruction for Systems with Partially-Known Blur. ICIP (3) (1999)
Vladimir Z. Mesarovic, Nikolas P. Galatsanos, Rafael Molina, Aggelos K. Katsaggelos
Hierarchical Bayesian image restoration from partially-known blurs. ICASSP (1998)
Chun-Jen Tsai, Nikolas P. Galatsanos, Aggelos K. Katsaggelos
Total Least Squares Estimation of Stereo Optical Flow. ICIP (2) (1998)
Yongyi Yang, Mungi Choi, Nikolas P. Galatsanos
New Results on Multichannel Regularized Recovery of Compressed Video. ICIP (1) (1998)
Khalil C. Haddad, Henry Stark, Nikolas P. Galatsanos
Design of two-channel equiripple FIR linear-phase quadrature mirror filters using the vector space projection method. IEEE Signal Process. Lett. 5 (7) (1998)
Vania Vieira Estrela, Nikolas P. Galatsanos
Spatially-Adaptive Regularized Pel-Recursive Motion Estimation based on Cross-Validation. ICIP (2) (1998)
Nikolas P. Galatsanos, Vladimir Z. Mesarovic, Rafael Molina
Two Bayesian Image Restoration Algorithms from Partially-Known Blurs. ICIP (2) (1998)
Yongyi Yang, Nikolas P. Galatsanos
Removal of compression artifacts using projections onto convex sets and line process modeling. IEEE Trans. Image Process. 6 (10) (1997)
Ahmad Abu-Naser, Nikolas P. Galatsanos, Miles N. Wernick
Impulse restoration-based template-matching using the expectation-maximization algorithm. ICIP (3) (1997)
Mungi Choi, Yongyi Yang, Nikolas P. Galatsanos
Regularized Multichannel Recovery of Compressed Video. ICIP (1) (1997)
Wenwu Zhu, Yao Wang, Nikolas P. Galatsanos, Jun Zhang
Regularized Total Least Squares Reconstruction for Optical Tomographic Imaging Using Conjugate Gradient Method. ICIP (1) (1997)

Nikolas P. Galatsanos.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Nikolas P. Galatsanos