1. Kovalev, V. Color Co-occurence Descriptors for Querying-by-Example / V. Kovalev, S. Volmer // Proc. of the 1998 Conf. on MultiMedia Modeling. - Switzerland, 1998. - P. 32-38.
2. Content-based image retrieval as a method for melanoma diagnosis / V. Liauchuk [et al.] // Proc. of the 29th Intern. Congress on Computer Assisted Radiology and Surgery (CARS- 2015). - Spain, 2015. - Vol. 10. - P. 291-292.
3. Pinto, N. A high-throughput screening approach to discovering good forms of biologically inspired visual representation / N. Pinto, D. Doukhan, D. Cox // PLoS Computational Biology. - 2009. - Vol. 5(11). - P. 1-12.
4. Evaluating Bag-of-Visual-Words Representations in Scene Classification / J. Yang [et al.] // Proc. of the Intern. Workshop on Multimedia Information Retrieval. - Germany, Augsburg, 2007. - P. 197-206.
5. Quantized Image Patches Co-occurrence Matrix: A New Statistical Approach for Texture Classification using Image Patch Exemplars / Zh. Liu [et al.] // Proc. of the 3th Intern. Conf. on Digital Image Processing (ICDIP 2011). - China, Chengdu, 2011. - Vol. 8009. - P. 56-64.
6. Fulkerson, B. Class segmentation and object localization with superpixel neighborhoods / B. Fulkerson, A. Vedaldi, S. Soatto // Proc. of the 12th Intern. Conf. on Computer Vision. - Kyoto, Japan. - 2009. - P. 8.
7. Levinshtein, A. Multiscale symmetric part detection and grouping / A. Levinshtein, C. Sminchisescu, S. Dickinson // Proc. of the 12th Intern. Conf. on Computer Vision. - Kyoto, Sapan. - 2009. - Vol. 104. - P. 117-134.
8. Li, X. An Object Co-occurrence Assisted Hierarchical Model for Scene Understanding / X. Li, Y. Guo // Proc. of the British Machine Vision Conference. - Surrey, 2012. - P. 1-11.
9. Multi-scale feature learning on pixels and super-pixels for seminal vesicles MRI segmentation / Q. Gao [et al.] // SPIE 9034, Medical Imaging 2014: Image Proc. - 2014. - Vol. 9034. - Р. 903407-903407-6.
10. Micusik, B. Semantic segmentation of street scenes by superpixel co-occurrence and 3D geometry / B. Micusik, J. Kosecka // IEEE Workshop on Video-Oriented Object and Event Classification (VOEC). - Japan, 2009. - P. 625-632.
11. He, X. Learning and incorporating top-down cues in image segmentation / X. He, R. Zemel, D. Ray // Proc. of the 9th European Conf. on Computer Vision. - Austria, 2006. - P. 338-351.
12. Sicre, R. SuperPixel based angular differences as a mid-level image descriptor / R. Sicre, E. Tasli, T. Gevers // Proc. of the 22th Intern. Conf. on Pattern Recognition (ICPR). - Sweden, 2014. - P. 3732-3737.
13. Content-based image retrieval of histology images / A. Dmitruk [et al.] // Proc. of Swedish Symposium on Image Analysis (SSBA-2010). - Uppsala, Sweden, 2010. - P. 91-92.
14. Tighe, J. SuperParsing: Scalable nonparametric image parsing with superpixels / J. Tighe, S. Lazebnik // ECCV’10 Proc. of the 11th European Conf. on Computer Vision. - Germany, Heidelberg, 2010. - P. 352-365.
15. SLIC Superpixels Compared to State-of-the-art Superpixel Methods / R. Achanta [et al.] // IEEE Transactions on Pattern Analysis and Machine Intelligence. - 2012. - Vol. 34(11). - P. 2274- 2282.
16. Ковалев, В.А. Влияние мер близости в пространстве признаков на качество поиска медицинских изображений по содержанию / В.А. Ковалев, А.А. Дмитрук // Информатика. - 2011. - № 30. - С. 5-11.
17. Efron, B. Bootstrap Methods: Another Look at the Jackknife / B. Efron // Annals of Statistics. - 1979. - Vol. 1. - P. 1-26.
18. Matas, T. Extended set of local binary patterns for rapid object detection / T. Matas, J. Matas // Proc. of the Computer Vision Winter Workshop. - Czech Republic, Nové Hrady, 2010. - Vol. 2010. - P. 37-43.
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