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2020 – today
- 2024
[c27]Guang Yi Chen, Adam Krzyzak, Ventzeslav Valev:
Palmprint Classification via Filter Faces and Feature Extraction. ANNPR 2024: 208-217- 2023
- [c26]Guang Yi Chen, Adam Krzyzak, Ventzeslav Valev:
A Robust Preprocessing Method for Measuring Image Visual Quality Using Log-Polar FFT Features. IWAIPR 2023: 445-454 - 2022
- [c25]Manuel S. Lazo-Cortés
, José Fco. Martínez-Trinidad, Jesús Ariel Carrasco-Ochoa, Ventzeslav Valev, Mohammad Amin Shamshiri, Adam Krzyzak:
Taking Advantage of Typical Testor Algorithms for Computing Non-reducible Descriptors. ICPRAM 2022: 188-194 - [c24]Guangyi Chen, Adam Krzyzak, Ventzeslav Valev:
A New Preprocessing Method for Measuring Image Visual Quality Robust to Rotation and Spatial Shifts. S+SSPR 2022: 94-102 - 2020
- [c23]Nicola Yanev, Ventzeslav Valev, Karima Ben Suliman, Adam Krzyzak:
Supervised Classification Using Graph-based Space Partitioning for Multiclass Problems. ICPR 2020: 6486-6492
2010 – 2019
- 2019
- [j9]Nicola Yanev, Ventzeslav Valev, Adam Krzyzak, Karima Ben Suliman:
Supervised classification using graph-based space partitioning. Pattern Recognit. Lett. 128: 122-130 (2019) - [c22]Ventzeslav Valev, Nicola Yanev, Adam Krzyzak, Karima Ben Suliman:
Supervised Classification Box Algorithm Based on Graph Partitioning. CORES 2019: 276-285 - 2018
- [c21]Ventzeslav Valev, Nicola Yanev, Adam Krzyzak, Karima Ben Suliman:
Supervised Classification Using Feature Space Partitioning. S+SSPR 2018: 194-203 - 2016
- [c20]Ventzeslav Valev, Nicola Yanev, Adam Krzyzak:
A new geometrical approach for solving the supervised pattern recognition problem. ICPR 2016: 1648-1652 - 2015
- [j8]Vesna Zeljkovic, Milena Bojic, Shengwei Zhao, Claude Tameze, Ventzeslav Valev:
Exudates and optic disk detection in retinal images of diabetic patients. Concurr. Comput. Pract. Exp. 27(1): 172-192 (2015) - [c19]Vesna Zeljkovic, Claude Tameze, Darrin J. Pochan, Yingchao Chen, Ventzeslav Valev:
Automated nanostructure microscopic image characterization and analysis. HPCS 2015: 290-297 - 2014
- [j7]Ventzeslav Valev:
From binary features to Non-Reducible Descriptors in supervised pattern recognition problems. Pattern Recognit. Lett. 45: 106-114 (2014) - [c18]Julián Ramos Cózar, Vesna Zeljkovic, José María González-Linares, Nicolás Guil, Milena Bojic, Ventzeslav Valev:
Pre-ictal phase detection with SVMs. HPCS 2014: 656-661 - [c17]Vesna Zeljkovic, Du Zhang, Ventzeslav Valev, Zhongyu Zhang, Shengjie Zhu, Junjie Li:
Personal access control system using moving object detection and face recognition. HPCS 2014: 662-669 - [c16]Asai Asaithambi, Ventzeslav Valev, Adam Krzyzak, Vesna Zeljkovic:
A new approach for binary feature selection and combining classifiers. HPCS 2014: 681-687 - 2013
- [j6]Vesna Zeljkovic, Milena Bojic, Claude Tameze, Ventzeslav Valev:
Exudates Detection and Classification Algorithm of Diabetic patients' Retina Images. J. Circuits Syst. Comput. 22(2) (2013) - [c15]Vesna Zeljkovic, Ventzeslav Valev, Claude Tameze, Milena Bojic:
Pre-Ictal phase detection algorithm based on one dimensional EEG signals and two dimensional formed images analysis. HPCS 2013: 607-614 - [c14]Julián Ramos Cózar, Vesna Zeljkovic, José María González-Linares, Nicolás Guil, Claude Tameze, Ventzeslav Valev:
A framework for TV logos learning using linear inverse diffusion filters for noise removal. HPCS 2013: 621-625 - 2012
- [c13]Ventzeslav Valev, Nicola Yanev:
Classification using graph partitioning. ICPR 2012: 1261-1264 - [c12]Vesna Zeljkovic, Milena Bojic, Claude Tameze, Ventzeslav Valev:
Classification algorithm of retina images of diabetic patients based on exudates detection. HPCS 2012: 167-173 - 2011
- [c11]Ventzeslav Valev:
Machine learning of syndromes for different types of features. HPCS 2011: 504-509
2000 – 2009
- 2004
- [j5]Ventzeslav Valev:
Supervised pattern recognition by parallel feature partitioning. Pattern Recognit. 37(3): 463-467 (2004) - [j4]Ventzeslav Valev, Bülent Sankur:
Generalized non-reducible descriptors. Pattern Recognit. 37(9): 1809-1815 (2004) - [j3]Asai Asaithambi, Ventzeslav Valev:
Construction of all non-reducible descriptors. Pattern Recognit. 37(9): 1817-1823 (2004) - [c10]Ventzeslav Valev:
Supervised Pattern Recognition with Heterogeneous Features. CIARP 2004: 693-700 - 2003
- [c9]Ventzeslav Valev, Asai Asaithambi:
On Computational Complexity of Non-Reducible Descriptors. IRI 2003: 208-211 - 2001
- [j2]Ventzeslav Valev, Asai Asaithambi:
Multidimensional pattern recognition problems and combining classifiers. Pattern Recognit. Lett. 22(12): 1291-1297 (2001) - [c8]Asai Asaithambi, Ventzeslav Valev:
A Decision-Tree Approach to the Discovery of Empirical Regularities. IRI 2001: 18-23 - 2000
- [c7]Ventzeslav Valev, Bülent Sankur, Petia Radeva:
Generalized Non-Reducible Descriptors. ICPR 2000: 2394-2397
1990 – 1999
- 1998
- [c6]Ventzeslav Valev:
Set Partition Principles Revisited. SSPR/SPR 1998: 875-881 - 1996
- [c5]Ventzeslav Valev, Petia Radeva:
Construction of Boolean decision rules for ECG recognition by non-reducible descriptors. ICPR 1996: 111-115 - 1993
- [c4]Ventzeslav Valev:
A Model-Based Image Quantization Technique for Supervised Image Recognition. CAIP 1993: 128-132 - 1992
- [c3]Ventzeslav Valev, Petia Radeva:
A method of solving pattern or image recognition problems by learning Boolean formulas. ICPR (2) 1992: 359-362 - [c2]Ventzeslav Valev:
Pictorial pattern recognition by Boolean formulas. Theoretical Foundations of Computer Vision 1992 - 1991
- [j1]Ventzeslav Valev, Jurey Ivanovich Zhuravlev:
Integer-valued problems of transforming the training tables in k-valued code in pattern recognition problems. Pattern Recognit. 24(4): 283-288 (1991)
1980 – 1989
- 1988
- [c1]Ventzeslav Valev:
On the representation of training tables in a K-valued code and the construction of empirical regularities. ICPR 1988: 779-781
Coauthor Index
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