1. Tight risk bounds for multi-class margin classifiers

   • Yu. Maximov
   • D. Reshetova

   Mathematical Method in Pattern Recognition 06 December 2016 Pages: 673 - 680

2. Semi-supervised classification using multiple clusterings

   • G. X. Yu
   • L. Feng
   • J. Wang

   Mathematical Method in Pattern Recognition 06 December 2016 Pages: 681 - 687

3. Difference intensity distance group pattern for recognizing actions in video using Support Vector Machines

   • J. Arunnehru
   • M. Kalaiselvi Geetha

   Representation, Processing, Analysis, and Understanding of Images 06 December 2016 Pages: 688 - 696

4. Comparison of image recognition efficiency of Bayes, correlation, and modified Hopfield network algorithms

   • Yu. A. Basistov
   • Yu. G. Yanovskii

   Representation, Processing, Analysis, and Understanding of Images 06 December 2016 Pages: 697 - 704

5. Quaternion angular radial transform and properties transformation for color-based object recognition

   • A. Khatabi
   • A. Tmiri
   • A. Serhir

   Representation, Processing, Analysis, and Understanding of Images 06 December 2016 Pages: 705 - 713

6. On the probability of the formation of local groups in random point images

   • A. L. Reznik
   • A. A. Solov’ev
   • A. V. Torgov

   Representation, Processing, Analysis, and Understanding of Images 06 December 2016 Pages: 714 - 719

7. Detecting computer generated images based on local ternary count

   • D. Q. Tan
   • X. J. Shen
   • H. P. Chen

   Representation, Processing, Analysis, and Understanding of Images 06 December 2016 Pages: 720 - 725

8. Effective energy-based multi-view piecewise planar stereo

   • Yiran Wang
   • Wei Wang
   • Shi Dong

   Representation, Processing, Analysis, and Understanding of Images 06 December 2016 Pages: 726 - 733

9. Object-oriented topological management system of spatially-distributed databases

   • Yu. G. Vasin
   • Yu. V. Yasakov

   Software and Hardware for Pattern Recognition and Image Analysis 06 December 2016 Pages: 734 - 741

10. Classification of long-bone fractures based on digital-geometric analysis of X-ray images

    • O. Bandyopadhyay
    • A. Biswas
    • B. B. Bhattacharya

    Applied Problems 06 December 2016 Pages: 742 - 757

11. Contour analysis of a fine structure in an electroencephalogram

    • Ya. A. Furman
    • V. V. Sevastyanov
    • K. O. Ivanov

    Applied Problems 06 December 2016 Pages: 758 - 772

12. Estimation of geomagnetic field disturbance using the wavelet transform

    • O. V. Mandrikova
    • I. S. Solovjev
    • D. M. Klionskiy

    Applied Problems 06 December 2016 Pages: 773 - 781

13. Recognition of biomedical signals based on their spectral description data analysis

    • L. A. Manilo
    • A. P. Nemirko

    Applied Problems 06 December 2016 Pages: 782 - 788

14. Magnetometry data processing to detect archaeological sites

    • V. S. Mikhailova
    • N. G. Grafeeva
    • A. V. Chudin

    Applied Problems 06 December 2016 Pages: 789 - 799

15. Application of texture features for comparing the facture of paintings

    • D. M. Murashov

    Applied Problems 06 December 2016 Pages: 800 - 809

16. Metric classification of early Parkinsonism in the space of electroencephalographic features

    • Yu. V. Obukhov
    • I. A. Malyuta
    • K. Yu. Obukhov

    Applied Problems 06 December 2016 Pages: 810 - 816

17. Implementation of the zero-padding interpolation technique to improve angular resolution of X-ray tomographic acquisition system

    • M. Reda Ahmed Bacha
    • A. Oukebdane
    • A. Hafid Belbachir

    Applied Problems 06 December 2016 Pages: 817 - 823

18. Iterative conic beam tomography based on Bayesian approach to radiation therapy

    • V. L. Vengrinovich
    • S. A. Zolotarev
    • M. A. Mirzavand

    Applied Problems 06 December 2016 Pages: 824 - 830

19. From the National Committee of the Presidium of the Russian Academy of Sciences for Pattern Recognition and Image Analysis

    Announcement 06 December 2016 Pages: 831 - 839

20. From the National Committee of the Presidium of the Russian Academy of Sciences for Pattern Recognition and Image Analysis

    Announcement 06 December 2016 Pages: 840 - 844

21. Erratum to: “An Algorithm for Recognizing Linear Objects in Aerial Photons Automatically” [Pattern Recognition and Image Analysis 26, 385 (2016)]

    • A. E. Levashov

    Erratum 06 December 2016 Pages: 845 - 845