Printed Text Segmentation Using Distance Transform. - Sergey Ablameyko 001; Oleg Okun (CAIP, 1993)

A system for automatic vectorization and interpretation of map-drawings. - Sergey Ablameyko 001; Vladimir Bereishik; Oleg Frantskevich; Maria Homenko; E. Melnik; Oleg Okun; Nadeshda Paramonova (ICCV, 1993)

Text/graphics separation for technical papers. - Oleg Okun; Sergey Ablameyko 001 (Document Recognition, 1995)

Robust Skew Estimation on Low-Resolution Document Images. - Oleg Okun; Matti Pietikäinen; Jaakko J. Sauvola (ICDAR, 1999)

Document skew estimation without angle range restriction. - Oleg Okun; Matti Pietikäinen; Jaakko J. Sauvola (Int. J. Document Anal. Recognit., 1999)

Automatic Ground-Truth Generation for Skew-Tolerance Evaluation of Document Layout Analysis Methods. - Oleg Okun; Matti Pietikäinen (ICPR, 2000)

Experimental tool for generating ground truths for skewed page images. - Oleg Okun; Ari Vesanen; Matti Pietikäinen (Document Recognition and Retrieval, 2001)

Edge-Based Method for Text Detection from Complex Document Images. - Matti Pietikäinen; Oleg Okun (ICDAR, 2001)

Selection of the Optimal Parameter value for the Locally Linear Embedding Algorithm. - Olga Kouropteva; Oleg Okun; Matti Pietikäinen (FSKD, 2002)

Robust Text Detection from Binarized Document Images. - Oleg Okun; Yu Yan; Matti Pietikäinen (ICPR (3), 2002)

Classification of handwritten digits using supervised locally linear embedding algorithm and support vector machine. - Olga Kouropteva; Oleg Okun; Matti Pietikäinen (ESANN, 2003)

Supervised Locally Linear Embedding Algorithm for Pattern Recognition. - Olga Kouropteva; Oleg Okun; Matti Pietikäinen (IbPRIA, 2003)

Supervised Locally Linear Embedding. - Dick de Ridder; Olga Kouropteva; Oleg Okun; Matti Pietikäinen; Robert P. W. Duin (ICANN, 2003)

Fast Non-negative Dimensionality Reduction for Protein Fold Recognition. - Oleg Okun; Helen Priisalu; Alexessander Alves (ECML, 2005)

Incremental Locally Linear Embedding Algorithm. - Olga Kouropteva; Oleg Okun; Matti Pietikäinen (SCIA, 2005)

Incremental locally linear embedding. - Olga Kouropteva; Oleg Okun; Matti Pietikäinen (Pattern Recognit., 2005)

Selection of more than one gene at a time for cancer prediction from gene expression data. - Oleg Okun; Nikolay G. Zagoruiko; Alexessander Alves; Olga Kutnenko; Irina Borisova (ESANN, 2006)

Fast and Accurate Ground Truth Generation for Skew-Tolerance Evaluation of Page Segmentation Algorithms. - Oleg Okun; Matti Pietikäinen (EURASIP J. Adv. Signal Process., 2006)

Fast Nonnegative Matrix Factorization and Its Application for Protein Fold Recognition. - Oleg Okun; Helen Priisalu (EURASIP J. Adv. Signal Process., 2006)

Random Forest for Gene Expression Based Cancer Classification: Overlooked Issues. - Oleg Okun; Helen Priisalu (IbPRIA (2), 2007)

Dataset Complexity and Gene Expression Based Cancer Classification. - Oleg Okun; Helen Priisalu (WILF, 2007)

Unsupervised data reduction. - Oleg Okun; Helen Priisalu (Signal Process., 2007)

Ensembles of k-nearest neighbors and dimensionality reduction. - Oleg Okun; Helen Priisalu (IJCNN, 2008)

Dataset complexity can help to generate accurate ensembles of k-nearest neighbors. - Oleg Okun; Giorgio Valentini (IJCNN, 2008)

Dataset complexity in gene expression based cancer classification using ensembles of k-nearest neighbors. - Oleg Okun; Helen Priisalu (Artif. Intell. Medicine, 2009)