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Szilárd Vajda
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2020 – today
- 2024
- [c30]Ha Anh Vu, Szilárd Vajda:
Advancing Brain Tumor Diagnosis: A Hybrid Approach Using Edge Detection and Deep Learning. ICPR (13) 2024: 226-241 - 2023
- [j12]Hermann Yepdjio Nkouanga, Szilárd Vajda:
Optimization Strategies for the k-Nearest Neighbor Classifier. SN Comput. Sci. 4(1): 47 (2023) - 2021
- [c29]Hermann Yepdjio Nkouanga, Szilárd Vajda:
A Fast and Efficient K-Nearest Neighbor Classifier Using a Convex Envelope. RTIP2R 2021: 320-329 - 2020
- [c28]Hermann Yepdjio Nkouanga, Szilárd Vajda:
Automatic Tuberculosis Detection Using Chest X-ray Analysis With Position Enhanced Structural Information. ICPR 2020: 6439-6446
2010 – 2019
- 2018
- [j11]Szilárd Vajda, Alexandros Karargyris, Stefan Jäger, KC Santosh, Sema Candemir, Zhiyun Xue, Sameer K. Antani, George R. Thoma:
Feature Selection for Automatic Tuberculosis Screening in Frontal Chest Radiographs. J. Medical Syst. 42(8): 146:1-146:11 (2018) - 2017
- [j10]Eugene Borovikov, Szilárd Vajda, Michael Gill:
Face Match for Family Reunification: Real-World Face Image Retrieval. Int. J. Comput. Vis. Image Process. 7(2): 19-35 (2017) - [c27]Eugene Borovikov, Szilárd Vajda, Michael Bonifant, Michael Gill:
Looking at faces in the wild. BICA 2017: 104-109 - 2016
- [j9]Alexandros Karargyris, Jenifer Siegelman, Dimitris Tzortzis, Stefan Jaeger, Sema Candemir, Zhiyun Xue, KC Santosh, Szilárd Vajda, Sameer K. Antani, Les R. Folio, George R. Thoma:
Combination of texture and shape features to detect pulmonary abnormalities in digital chest X-rays. Int. J. Comput. Assist. Radiol. Surg. 11(1): 99-106 (2016) - [j8]KC Santosh, Szilárd Vajda, Sameer K. Antani, George R. Thoma:
Edge map analysis in chest X-rays for automatic pulmonary abnormality screening. Int. J. Comput. Assist. Radiol. Surg. 11(9): 1637-1646 (2016) - [c26]Szilárd Vajda, KC Santosh:
A Fast k-Nearest Neighbor Classifier Using Unsupervised Clustering. RTIP2R 2016: 185-193 - [c25]Eugene Borovikov, Szilárd Vajda:
FaceMatch: Real-World Face Image Retrieval. RTIP2R 2016: 405-419 - [c24]Razvan Andonie, Anne M. Johansen, Amy L. Mumma, Holly C. Pinkart, Szilárd Vajda:
Cost efficient prediction of Cabernet Sauvignon wine quality. SSCI 2016: 1-8 - 2015
- [j7]Szilárd Vajda, Daekeun You, Sameer K. Antani, George R. Thoma:
Large image modality labeling initiative using semi-supervised and optimized clustering. Int. J. Multim. Inf. Retr. 4(2): 143-151 (2015) - [j6]Szilárd Vajda, Thomas Plötz, Gernot A. Fink:
Camera-Based Whiteboard Reading for Understanding Mind Maps. Int. J. Pattern Recognit. Artif. Intell. 29(3): 1553003:1-1553003:26 (2015) - [j5]Szilárd Vajda, Yves Rangoni, Hubert Cecotti:
Semi-automatic ground truth generation using unsupervised clustering and limited manual labeling: Application to handwritten character recognition. Pattern Recognit. Lett. 58: 23-28 (2015) - [c23]KC Santosh, Szilárd Vajda, Sameer K. Antani, George R. Thoma:
Automatic Pulmonary Abnormality Screening Using Thoracic Edge Map. CBMS 2015: 360-361 - [c22]Szilárd Vajda, Sameer K. Antani, George R. Thoma:
National Library of Medicine (NLM) at ImageCLEF2015: Medical Clustering Task. CLEF (Working Notes) 2015 - 2014
- [j4]Jan Richarz, Szilárd Vajda, Rene Grzeszick, Gernot A. Fink:
Semi-supervised learning for character recognition in historical archive documents. Pattern Recognit. 47(3): 1011-1020 (2014) - [c21]Szilárd Vajda, Daekeun You, Sameer K. Antani, George R. Thoma:
Label the many with a few: Semi-automatic medical image modality discovery in a large image collection. CICARE 2014: 167-173 - [c20]Szilárd Vajda, Barna Szocs:
A Neural Network Based Distance Function for the k-Nearest Neighbor Classifier. ICFHR 2014: 429-433 - 2013
- [c19]Hubert Cecotti, Szilárd Vajda:
Rejection Schemes in Multi-class Classification - Application to Handwritten Character Recognition. ICDAR 2013: 445-449 - [c18]Akmal Junaidi, Rene Grzeszick, Gernot A. Fink, Szilárd Vajda:
Statistical Modeling of the Relation between Characters and Diacritics in Lampung Script. ICDAR 2013: 663-667 - [c17]Hubert Cecotti, Szilárd Vajda:
A Radial Neural Convolutional Layer for Multi-oriented Character Recognition. ICDAR 2013: 668-672 - [c16]Eugene Borovikov, Szilárd Vajda, Girish Lingappa, Sameer K. Antani, George R. Thoma:
Face Matching for Post-Disaster Family Reunification. ICHI 2013: 131-140 - 2012
- [j3]Yves Rangoni, Abdel Belaïd, Szilárd Vajda:
Labelling logical structures of document images using a dynamic perceptive neural network. Int. J. Document Anal. Recognit. 15(1): 45-55 (2012) - [c15]Jan Richarz, Szilárd Vajda, Gernot A. Fink:
Towards Semi-supervised Transcription of Handwritten Historical Weather Reports. Document Analysis Systems 2012: 180-184 - [c14]Jan Richarz, Szilárd Vajda, Gernot A. Fink:
Annotating Handwritten Characters with Minimal Human Involvement in a Semi-supervised Learning Strategy. ICFHR 2012: 23-28 - [c13]Leonard Rothacker, Szilárd Vajda, Gernot A. Fink:
Bag-of-Features Representations for Offline Handwriting Recognition Applied to Arabic Script. ICFHR 2012: 149-154 - [c12]Barna Szocs, Szilárd Vajda, Judit Robu:
D.A.C Draw and Calc - the intuitive calculator -. SISY 2012: 157-163 - 2011
- [c11]Szilárd Vajda, Leonard Rothacker, Gernot A. Fink:
A Method for Camera-Based Interactive Whiteboard Reading. CBDAR 2011: 112-125 - [c10]Szilárd Vajda, Akmal Junaidi, Gernot A. Fink:
A Semi-supervised Ensemble Learning Approach for Character Labeling with Minimal Human Effort. ICDAR 2011: 259-263 - 2010
- [c9]Christian Kleine-Cosack, Marius H. Hennecke, Szilárd Vajda, Gernot A. Fink:
Exploiting Acoustic Source Localization for Context Classification in Smart Environments. AmI 2010: 157-166 - [c8]Szilárd Vajda, Gernot A. Fink:
Strategies for Training Robust Neural Network Based Digit Recognizers on Unbalanced Data Sets. ICFHR 2010: 148-153 - [c7]Gernot A. Fink, Szilárd Vajda, Ujjwal Bhattacharya, Swapan K. Parui, Bidyut B. Chaudhuri:
Online Bangla Word Recognition Using Sub-Stroke Level Features and Hidden Markov Models. ICFHR 2010: 393-398 - [c6]Szilárd Vajda, Gernot A. Fink:
Exploring Pattern Selection Strategies for Fast Neural Network Training. ICPR 2010: 2913-2916
2000 – 2009
- 2009
- [j2]Szilárd Vajda, Kaushik Roy, Umapada Pal, B. B. Chaudhuri, Abdel Belaïd:
Automation of Indian Postal Documents Written in Bangla and English. Int. J. Pattern Recognit. Artif. Intell. 23(8): 1599-1632 (2009) - [j1]Szilárd Vajda, Thomas Plötz, Gernot A. Fink:
Layout Analysis for Camera-Based Whiteboard Notes. J. Univers. Comput. Sci. 15(18): 3307-3324 (2009) - 2008
- [b1]Szilárd Vajda:
Cursive Bengali Script Recognition for Indian Postal Automation. (Reconnaissance de l'écriture manuscrite cursive Bengali pour l'automatisation de la Poste Indienne). Henri Poincaré University, Nancy, France, 2008 - 2005
- [c5]Hubert Cecotti, Szilárd Vajda, Abdel Belaïd:
High Performance Classifiers Combination for Handwritten Digit Recognition. ICAPR (1) 2005: 619-626 - [c4]Kaushik Roy, Szilárd Vajda, Abdel Belaïd, U. Pal, B. B. Chaudhuri:
A System for Indian Postal Automation. ICDAR 2005: 1060-1064 - [c3]Szilárd Vajda, Abdel Belaïd:
Structural Information Implant in a Context Based Segmentation-Free HMM Handwritten Word Recognition System for Latin and Bangla Script. ICDAR 2005: 1126-1130 - 2004
- [c2]Ujjwal Bhattacharya, Szilárd Vajda, Anirban Mallick, B. B. Chaudhuri, Abdel Belaïd:
On the choice of training set, architecture and combination rule of multiple MLP classifiers for multiresolution recognition of handwritten characters. IWFHR 2004: 419-424 - [c1]Kaushik Roy, Szilárd Vajda, Umapada Pal, B. B. Chaudhuri:
A system towards Indian postal automation. IWFHR 2004: 580-585
Coauthor Index
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