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Jerzy Sas
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Journal Articles
- 2013
- [j2]Jerzy Sas, Andrzej Zolnierek:
Pipelined language model construction for Polish speech recognition. Int. J. Appl. Math. Comput. Sci. 23(3): 649-668 (2013) - 2012
- [j1]Jerzy Sas, Urszula Markowska-Kaczmar:
Similarity-based training set acquisition for continuous handwriting recognition. Inf. Sci. 191: 226-244 (2012)
Conference and Workshop Papers
- 2018
- [c20]Jerzy Sas:
Acoustic Data Building Toolset for Easy Experimentation with Neural Network-based Speech Recognition in Polish and English. HSI 2018: 93-99 - 2016
- [c19]Urszula Markowska-Kaczmar, Jerzy Sas, Anastasia Moumtzidou
:
Caption-guided patent image segmentation. FedCSIS 2016: 261-270 - 2015
- [c18]Jerzy Sas, Urszula Markowska-Kaczmar:
Logical structure recognition of diagram images. FedCSIS 2015: 215-224 - 2013
- [c17]Jerzy Sas, Andrzej Zolnierek:
Three-Stage Method of Text Region Extraction from Diagram Raster Images. CORES 2013: 527-538 - 2009
- [c16]Jerzy Sas, Bogumila Hnatkowska:
Fast automatic speech recognition training with phoneme coverage balancing and late speaker prototype selection. IMCSIT 2009: 109-115 - 2008
- [c15]Jerzy Sas, Andrzej Zolnierek:
Comparison of Feature Reduction Methods in the Text Recognition Task. ICAISC 2008: 729-738 - 2007
- [c14]Jerzy Sas, Urszula Markowska-Kaczmar:
Semi-automatic Training Sets Acquisition for Handwriting Recognition. CAIP 2007: 531-538 - [c13]Jerzy Sas, Urszula Markowska-Kaczmar:
Semi-Supervised Handwritten Word Segmentation Using Character Samples Similarity Maximization and Evolutionary Algorithm. CISIM 2007: 316-321 - 2006
- [c12]Grzegorz Godlewski, Maciej Piasecki
, Jerzy Sas:
Application of syntactic properties to three-level recognition of polish hand-written medical texts. ACM Symposium on Document Engineering 2006: 115-121 - [c11]Jerzy Sas:
Handwriting Recognition Accuracy Improvement by Author Identification. ICAISC 2006: 682-691 - [c10]Jerzy Sas:
Application of Bidirectional Probabilistic Character Language Model in Handwritten Words Recognition. IDEAL 2006: 679-687 - 2005
- [c9]Marek Kurzynski, Jerzy Sas:
Combining Character Level Classifier and Probabilistic Lexicons in Handwritten Word Recognition - Comparative Analysis of Methods. CAIP 2005: 330-337 - [c8]Jerzy Sas, Marek Kurzynski:
Multilevel Recognition of Structured Handprinted Documents - Probabilistic Approach. CORES 2005: 723-730 - [c7]Jerzy Sas, Marek Kurzynski:
Application of Statistic Properties of Letters Succession in Polish Language to Handprint Recognition. CORES 2005: 731-738 - [c6]Jerzy Sas, Michal Luzyna:
Combining Character Classifiers Using Member Classifiers Assessment. ISDA 2005: 400-405 - [c5]Jerzy Sas, Marek Kurzynski:
Application of Three-Level Handprinted Documents Recognition in Medical Information Systems. ISBMDA 2005: 1-12 - 2004
- [c4]Marek Kurzynski, Jerzy Sas:
Decision Support Server Architecture for Mobile Medical Applications. ISBMDA 2004: 105-116 - 2001
- [c3]Marek Kurzynski, Edward Puchala, Jerzy Sas:
Hybrid Pattern Recognition Algorithms with the Statistical Model Applied to the Computer-Aided Medical Diagnosis. ISMDA 2001: 133-139 - 1998
- [c2]Marek Kurzynski, Jerzy Sas:
Rule-based classification procedures related to the unprecisely formulated expert rules. SIBGRAPI 1998: 241-245 - [c1]Vladimir Volevich, Jerzy Sas, Karol Myszkowski
, Andrei Khodulev, Edward A. Kopylov:
A progressive global illumination solution considering perceptual factors. SIGGRAPH Abstracts and Applications 1998: 262
Parts in Books or Collections
- 2011
- [p4]Jerzy Sas, Andrzej Zolnierek:
Distant Co-occurrence Language Model for ASR in LooseWord Order Languages. Computer Recognition Systems 4 2011: 767-778 - 2009
- [p3]Jerzy Sas, Andrzej Zolnierek:
Application of Rough Sets in Combined Handwritten Words Classifier. Computer Recognition Systems 3 2009: 509-518 - 2008
- [p2]Jerzy Sas, Andrzej Zolnierek:
Handwritten Word Recognition with Combined Classifier Based on Tri-grams. Computer Recognition Systems 2 2008: 477-484 - [p1]Jerzy Sas, Marek Kurzynski:
Semi-automatic Handwritten Word Segmentation Based on Character Width Approximation Via Maximum Likelihood Method and Regression Model. Computer Recognition Systems 2 2008: 485-492
Coauthor Index
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