Fast content identification in high-dimensional feature spaces using sparse ternary codes S Ferdowsi, S Voloshynovskiy, D Kostadinov, T Holotyak 2016 IEEE International Workshop on Information Forensics and Security (WIFS …, 2016 | 28 | 2016 |
Privacy preserving identification using sparse approximation with ambiguization B Razeghi, S Voloshynovskiy, D Kostadinov, O Taran 2017 IEEE Workshop on Information Forensics and Security (WIFS), 1-6, 2017 | 22 | 2017 |
Privacy-preserving outsourced media search using secure sparse ternary codes B Razeghi, S Voloshynovskiy 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 20 | 2018 |
Classification of power quality disturbances using wavelets and support vector machine D Taskovski, A Milchevski, D Kostadinov Elektronika ir Elektrotechnika 19 (2), 25-30, 2013 | 20 | 2013 |
Sparse ternary codes for similarity search have higher coding gain than dense binary codes S Ferdowsi, S Voloshynovskiy, D Kostadinov, T Holotyak 2017 IEEE International Symposium on Information Theory (ISIT), 2653-2657, 2017 | 11 | 2017 |
On accuracy, robustness, and security of bag-of-word search systems S Voloshynovskiy, M Diephuis, D Kostadinov, F Farhadzadeh, T Holotyak Media Watermarking, Security, and Forensics 2014 9028, 902807, 2014 | 8 | 2014 |
Privacy-preserving identification via layered sparse code design: Distributed servers and multiple access authorization B Razeghi, S Voloshynovskiy, S Ferdowsi, D Kostadinov 2018 26th European Signal Processing Conference (EUSIPCO), 2578-2582, 2018 | 6 | 2018 |
Learning overcomplete and sparsifying transform with approximate and exact closed form solutions D Kostadinov, S Voloshynovskiy, S Ferdowsi 2018 7th European Workshop on Visual Information Processing (EUVIP), 1-6, 2018 | 5 | 2018 |
Spatial keypoint representation for visual object retrieval T Nowak, P Najgebauer, J Romanowski, M Gabryel, M Korytkowski, ... International Conference on Artificial Intelligence and Soft Computing, 639-650, 2014 | 5 | 2014 |
Logistic regression classifier for palmprint verification D Kostadinov, S Bogdanova 2012 19th International Conference on Systems, Signals and Image Processing …, 2012 | 5 | 2012 |
A multi-layer image representation using Regularized Residual Quantization: application to compression and denoising S Ferdowsi, S Voloshynovskiy, D Kostadinov 2017 IEEE International Conference on Image Processing (ICIP), 2697-2701, 2017 | 4 | 2017 |
Local active content fingerprinting: optimal solution under linear modulation D Kostadinov, S Voloshynovskiy, M Diephuis, T Holotyak 2016 IEEE International Conference on Image Processing (ICIP), 3917-3921, 2016 | 4 | 2016 |
Secure representation of images using multi-layer compression S Ferdowsi, S Voloshynovskiy, D Kostadinov, M Korytkowski, R Scherer International Conference on Artificial Intelligence and Soft Computing, 696-705, 2015 | 4 | 2015 |
Single image depth estimation using local gradient-based features D Kostadinov, Z Ivanovski 2012 19th International Conference on Systems, Signals and Image Processing …, 2012 | 4 | 2012 |
Learning non-structured, overcomplete and sparsifying transform D Kostadinov, S Voloshynovskiy, S Ferdowsi Convergence 2500 (3000), 3500, 2017 | 3 | 2017 |
Local active content fingerprint: solutions for general linear feature maps D Kostadinov, S Voloshynovskiy, M Diephuis, S Ferdowsi, T Holotyak 2016 23rd International Conference on Pattern Recognition (ICPR), 949-954, 2016 | 3 | 2016 |
Robust human face recognition based on locality preserving sparse over complete block approximation D Kostadinov, S Voloshynovskiy, S Ferdowsi Media Watermarking, Security, and Forensics 2014 9028, 902809, 2014 | 3 | 2014 |
Automatic voltage disturbance detection and classification using wavelets and multiclass logistic regression D Kostadinov, D Taskovski 2012 IEEE International Instrumentation and Measurement Technology …, 2012 | 3 | 2012 |
Learning non-linear transform with discriminative and minimum information loss priors D Kostadinov, S Voloshynovskiy | 2 | 2018 |
A multi-layer network based on sparse ternary codes for universal vector compression S Ferdowsi, S Voloshynovskiy, D Kostadinov arXiv preprint arXiv:1710.11510, 2017 | 2 | 2017 |