Publications
Publications
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Journal papers
2015:
[1] S. Vajda, Y. Rangoni, H. Cecotti, Semi-automatic ground truth generation using unsupervised clustering and limited manual labeling: Application to handwritten character recognition, Pattern Recognition Letters, 58, pp. 23-28, 2015 [pdf]
[2] S. Vajda, T. Ploetz, G. A. Fink, Camera-Based Whiteboard Reading forUnderstanding Mind Maps, in International Journal of Pattern Recognition and Artificial Intelligence, Vol. 29, No. 3, (26 pages), 2015 [pdf]
[3] S. Vajda, D. You, S. Antani, G. Thoma, Large image modality labeling initiative using semi-supervised and optimized clustering, in International Journal of Multimedia Information Retrieval, 2015 (accepted)
2014:
[1] J. Richarz, S. Vajda, R. Grzeszick and G. A. Fink, Semi-Supervised Learning for Character Recognition in Historical Archive Documents, Pattern Recognition, 2014 [pdf]
2012:
[1] Y. Rangoni, A. Belaid and S. Vajda, Labelling logical structures of document images using a dynamic perceptive neural network, in International Journal of Document Analysis and Recognition, 15(1), pp. 45-55, 2012 [pdf]
2009:
[1] S. Vajda, K. Roy, U. Pal, B.B. Chaudhuri, A. Belaid, Automation of Indian Postal Documents Written in Bangla and English, In International Journal of Pattern Recognition and Artificial Intelligence, Vol 23 (8), pp. 1599-1632, 2009 [pdf]
[2] S. Vajda, T. Plötz and G. A. Fink, Layout Analysis for Camera-Based Whiteboard Notes, In Journal of Universal Computer Science, Vol. 15 (18), pp. 3307-3324, 2009
Book chapters
2012:
[1] S. Vajda, L. Rothacker and G. A. Fink, A method for camera-based Interactive whiteboard reading, Camera-Based Document Analysis and Recognition, Vol. 7139 in Lecture Notes in Computer Science, pp. 112-125, 2012
2010:
[1] C. Kleine-Cosack, M. Hennecke, S. Vajda and G. A. Fink, Exploiting Acoustic Source Localization for Context Classification in Smart Environments, Ambient Intelligence, Vol 6439, in Lecture Notes in Computer Science, Malaga, Spain, 2010, pp. 157-166 [pdf]
2005:
[1] H. Cecotti, S. Vajda and A. Belaïd, High performance classifiers combination for handwritten digit recognition, 3rd International Conference on Advances in Pattern Recognition, Vol 3686, in Lecture Notes in Computer Science, Bath, United Kingdom, pp. 619-626, 2005
Conference papers
2014:
[1] S. Vajda, Y. Daekeun, S. Antani, G. Thoma, Label the many with a few: Semi-automatic medical image modality discovery in a large image collection, IEEE Symposium Series on Computational Intelligence, Orlando, FL, USA (accepted)
[2] S. Vajda, B. Szocs, A neural network based distance function for the k-nearest neighbor classifier, Crete, Greece, IEEE Computer Society, pp. 429-433 [pdf]
2013:
[1] H. Cecotti and S. Vajda, A radial neural convolusional layer for multi-oriented character recognition, International Conference on Document analysis and Recognition, Washington D.C., USA, 2013, IEEE Computer Society, pp. 668-672 [pdf]
[2] A. Junaidi, R. Grzeszick, G. A. Fink and S. Vajda, Statistical modeling of the relation between characters and diacritics in Lampung, International Conference on Document analysis and Recognition, Washington D.C., USA, 2013, IEEE Computer Society, pp. 663-667 [pdf]
[3] H. Cecotti and S. Vajda, Multi-class rejection evaluation in handwritten character recognition, International Conference on Document analysis and Recognition, Washington D.C., USA, 2013, IEEE Computer Society, pp. 445-449 [pdf]
[4] E. Borovikov, S. Vajda, G. Lingappa, S. Antani, G. R. Thoma, Face matching for post-disaster family reunification, International Conference on Health Informatics, Philadelphia, PA, USA, 2013, IEEE Computer Society, pp. 131-140 [pdf]
[5] Y. Rangoni, E. Ras and S. Vajda, Using handwriting recognition modality in tangible user interface, GREC, Bethlehem, PA, USA, 2013 [pdf]
2012:
[1] J. Richarz, S. Vajda and G. A. Fink, Towards semi-supervised transcription of handwritten historical weather reports. In International Workshop on Document Analysis Systems, Gold Coast, Queensland, Australia, pp. 180-184, 2012, IEEE Computer Society [pdf]
[2] J. Richarz, S. Vajda and G. A. Fink, Annotating handwritten characters with minimal human involvement in a semi-supervised learning strategy. In International Conference on Frontiers in Handwriting Recognition, Bari, Italy, 2012. IEEE Computer Society, [pdf]
[3] L. Rothacker, S. Vajda, and G. A. Fink. Bag-of-feature representations for offline handwriting recognition applied to arabic script. In International Conference on Frontiers in Handwriting Recognition, Bari, Italy, 2012. IEEE Computer Society [pdf]
[4] B. Szocs, S. Vajda and J. Robu, D.A.C. Draw and Calc - the intuitive calculator, 10th Jubilee International Symposium on Intelligent Systems and Informatic, (SISY), Subotica, Serbia, pp. 157-163, 2012, IEEE Computer Society [pdf]
2011:
[1] S. Vajda, A. Junaidi and G. A. Fink, A Semi-Supervised Ensemble Learning Approach for Character Labeling with Minimal Human Effort, International Conference on Document analysis and Recognition, Beijing, China, pp. 259-263, 2011 [pdf]
[2] A. Junaidi, S. Vajda and G. A. Fink, A Lampung- a New Character Benchmark: Database, Labeling and Recognition, International Joint Workshop on Multilingual OCR and Analytics for Unstructured Noisy Text Data, Beijing, China, pp. 259-263, 2011 [pdf]
[3] S. Vajda, L. Rothacker and G. A. Fink, A Camera-Based Interactive Whiteboard Reading System, International Workshop on Camera-Based Document Analysis and Recognition, Beijing, China, pp. 91-96, 2011 [pdf]
2010:
[1] S. Vajda and G. A. Fink, Exploring Pattern Selection Strategies for Fast Neural Network Training, 20th International Conference on Pattern Recognition, Istanbul, Turkey, pp. 2913-2916, 2010 [pdf]
[2] Y. N. Hammerla, T. Plötz, S. Vajda and G. A. Fink, Towards Feature Learning for HMM-based Offline Handwriting Recognition, International Workshop on Frontiers in Arabic Handwriting Recognition, Istanbul, Turkey, pp. 27-32, 2010 [pdf]
[3] S. Vajda and G. A. Fink, Strategies for Training Robust Neural Network Based Digit Recognizers on Unbalanced Data Sets, International Conference on Frontiers in Handwriting Recognition, Kolkata, India, pp. 148-153, 2010 [pdf]
[4] G. A. Fink, S. Vajda, U. Bhattacharya, S. Parui and B. B. Chaudhuri, Online Bangla Word Recognition Using Sub-Stroke Level Features and Hidden Markov Models, International Conference on Frontiers in Handwriting Recognition, Kolkata, India, pp. 393-398, 2010 [pdf]
2009:
[1] S. Vajda, T. Ramforth, T Plötz and G. A. Fink, Camera-Based Analysis of Whiteboard Notes, 3rd International Workshop on Camera-Based Document Recognition and Analysis, Barcelona, Spain, pp. 42-49, 2009 [pdf]
2006:
[1] S. Vajda, H. Cecotti, Y. Rangoni and A. Belaïd, A fast learning strategy using pattern selection for feedforward neural networks, 10th International Workshop on Frontiers in Handwriting Recognition, La Baule, France, October, 2006 [pdf]
2005:
[1] K. Roy, S. Vajda, U. Pal, B. B. Chaudhuri and A. Belaïd, A System for Indian Postal Automation, 1st International Workshop on Document Analysis, Kolkata, India, March, 2005 [pdf]
[2] K. Roy, S. Vajda, U. Pal, B. B. Chaudhuri and A. Belaïd, A System for Indian Postal Automation, 8th International Conference on Document Analysis and Recognition, Seoul, Korea, pp. 1060-1064, 2005 [pfd]
[3] S. Vajda, A. Belaïd, Structural Information Implant in a Context Based Segmentation-Free HMM Handwritten Word Recognition System for Latin and Bangla Script, 8th International Conference on Document Analysis and Recognition, Seoul, Korea, pp. 1126-1130, 2005 [pdf]
[4] S. Vajda and A. Belaïd, How to speed up the learning mechanism in a connectionist model, IAPR International Workshop on Neural Networks and Learning in Document Analysis and Recognition, Seoul, Korea, pp. 13-17, 2005
[5] H. Cecotti, S. Vajda and A. Belaïd, Neural and stochastic classifiers combination for handwritten digits characters, IAPR International Workshop on Neural Networks and Learning in Document Analysis and Recognition, Korea, 2005
[6] H. Cecotti, S. Vajda and A. Belaïd, HMM based Viterbi paths for rejection correction in a convolutional neural network classifier, IAPR International Workshop on Neural Networks and Learning in Document Analysis and Recognition, Seoul, Korea, pp. 23-26, 2005
2004:
[1] K. Roy, S. Vajda, U. Pal and B. B. Chaudhuri: A System towards Indian Postal Automation, 9th International Workshop on Frontiers in Handwriting Recognition, Tokyo, Japan, October, 2004 [pdf]
[2] Bhattacharya, U., Vajda, S., Mallick, A., Chaudhuri, B. B. and Belaïd, A.: On the Choice of Training Set, Architectures and Combination Rule of Multiple MLP Classifiers for Multiresolution Recognition of Handwritten Characters, 9th International Workshop on Frontiers in Handwriting Recognition, Tokyo, Japan, October, 2004 [pdf]
Technical reports
2002:
[1] Vajda, Sz. Characterization and normalization of the image database. Technical Report, Nancy, 2002
[2] Vajda, Sz. Training and evaluation of the models for isolated character recognition. Technical Report, Nancy, 2002
[3] Vajda, Sz. Classifiers combination for recognition score improvement. Technical Report, Nancy, 2002