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ORCIDLambert Schomaker
Lambert R. B. Schomaker
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- affiliation: University of Groningen, The Netherlands
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2020 – today
- 2023
[j40]Jan L. Rieck
, Davide Cipollini, Mart Salverda, Cynthia P. Quinteros, Lambert R. B. Schomaker, Beatriz Noheda:
Ferroelastic Domain Walls in BiFeO3 as Memristive Networks. Adv. Intell. Syst. 5(1) (2023)- [c104]Lisa Koopmans, Maruf A. Dhali, Lambert Schomaker:
The Effects of Character-Level Data Augmentation on Style-Based Dating of Historical Manuscripts. ICPRAM 2023: 124-135 - [c103]Thomas Reynolds, Maruf A. Dhali, Lambert Schomaker:
Image-Based Material Analysis of Ancient Historical Documents. ICPRAM 2023: 697-706 - [i27]Zhenxing Zhang, Lambert Schomaker:
Fusion-S2iGan: An Efficient and Effective Single-Stage Framework for Speech-to-Image Generation. CoRR abs/2305.10126 (2023) - 2022
- [j39]Zhenxing Zhang, Lambert Schomaker:
DiverGAN: An Efficient and Effective Single-Stage Framework for Diverse Text-to-Image Generation. Neurocomputing 473: 182-198 (2022) - [j38]Daniel Marcos Mazon, Marc Groefsema, Lambert R. B. Schomaker, Raffaella Carloni:
IMU-Based Classification of Locomotion Modes, Transitions, and Gait Phases with Convolutional Recurrent Neural Networks. Sensors 22(22): 8871 (2022) - [c102]Georgios Tziafas, Lambert Schomaker, S. Hamidreza Kasaei:
Sim-To-Real Transfer of Visual Grounding for Human-Aided Ambiguity Resolution. CoLLAs 2022: 1213-1230 - [c101]Asmaa Haja, Stefania Radu, Lambert Schomaker:
A Comparison of Different U-Net Models for Segmentation of Overlapping Organoids. ICBBE 2022: 1-10 - [c100]Zhenxing Zhang, Lambert Schomaker:
Optimized latent-code selection for explainable conditional text-to-image GANs. IJCNN 2022: 1-9 - [c99]Sha Luo, Lambert Schomaker:
Multiple Subgoals-guided Hierarchical Learning in Robot Navigation. ROBIO 2022: 9-14 - [i26]Zhenxing Zhang, Lambert Schomaker:
OptGAN: Optimizing and Interpreting the Latent Space of the Conditional Text-to-Image GANs. CoRR abs/2202.12929 (2022) - [i25]Thomas Reynolds, Maruf A. Dhali, Lambert Schomaker:
Image-based material analysis of ancient historical documents. CoRR abs/2203.01042 (2022) - [i24]Zhenxing Zhang, Lambert Schomaker:
Optimized latent-code selection for explainable conditional text-to-image GANs. CoRR abs/2204.12678 (2022) - [i23]Lisa Koopmans, Maruf A. Dhali, Lambert Schomaker:
The Effects of Character-Level Data Augmentation on Style-Based Dating of Historical Manuscripts. CoRR abs/2212.07923 (2022) - 2021
- [j37]Klaas Dijkstra, Jaap van de Loosdrecht, Waatze A. Atsma, Lambert R. B. Schomaker, Marco A. Wiering:
CentroidNetV2: A hybrid deep neural network for small-object segmentation and counting. Neurocomputing 423: 490-505 (2021) - [j36]Mahya Ameryan, Lambert Schomaker:
A limited-size ensemble of homogeneous CNN/LSTMs for high-performance word classification. Neural Comput. Appl. 33(14): 8615-8634 (2021) - [j35]Sheng He, Lambert Schomaker:
GR-RNN: Global-context residual recurrent neural networks for writer identification. Pattern Recognit. 117: 107975 (2021) - [j34]Sheng He, Lambert Schomaker:
CT-Net: Cascade T-shape deep fusion networks for document binarization. Pattern Recognit. 118: 108010 (2021) - [j33]Amirhossein Shantia, Rik Timmers, Yiebo Chong, Cornel Kuiper, Francesco Bidoia, Lambert Schomaker, Marco A. Wiering:
Two-stage visual navigation by deep neural networks and multi-goal reinforcement learning. Robotics Auton. Syst. 138: 103731 (2021) - [c98]Pieter Floris Jacobs, Gideon Maillette de Buy Wenniger, Marco A. Wiering, Lambert Schomaker:
Active Learning for Reducing Labeling Effort in Text Classification Tasks. BNAIC/BENELEARN 2021: 3-29 - [c97]Yifei Chen, Lambert Schomaker, Marco A. Wiering:
An Investigation Into the Effect of the Learning Rate on Overestimation Bias of Connectionist Q-learning. ICAART (2) 2021: 107-118 - [c96]Sha Luo, S. Hamidreza Kasaei, Lambert Schomaker:
Self-Imitation Learning by Planning. ICRA 2021: 4823-4829 - [c95]Yifei Chen, S. Hamidreza Kasaei, Lambert Schomaker, Marco A. Wiering:
Reinforcement Learning with Potential Functions Trained to Discriminate Good and Bad States. IJCNN 2021: 1-7 - [c94]Zhenxing Zhang, Lambert Schomaker:
DTGAN: Dual Attention Generative Adversarial Networks for Text-to-Image Generation. IJCNN 2021: 1-8 - [c93]Asmaa Haja, Lambert R. B. Schomaker:
A Fully Automated End-to-End Process for Fluorescence Microscopy Images of Yeast Cells: From Segmentation to Detection and Classification. MICAD 2021: 37-46 - [c92]Wouter Mostard, Lambert Schomaker, Marco A. Wiering:
Semantic Preserving Siamese Autoencoder for Binary Quantization of Word Embeddings. NLPIR 2021: 30-38 - [i22]Sha Luo, S. Hamidreza Kasaei, Lambert Schomaker:
Self-Imitation Learning by Planning. CoRR abs/2103.13834 (2021) - [i21]Asmaa Haja, Lambert R. B. Schomaker:
A fully automated end-to-end process for fluorescence microscopy images of yeast cells: From segmentation to detection and classification. CoRR abs/2104.02793 (2021) - [i20]Sheng He, Lambert Schomaker:
GR-RNN: Global-Context Residual Recurrent Neural Networks for Writer Identification. CoRR abs/2104.05036 (2021) - [i19]Pieter Floris Jacobs, Gideon Maillette de Buy Wenniger, Marco A. Wiering, Lambert Schomaker:
Active learning for reducing labeling effort in text classification tasks. CoRR abs/2109.04847 (2021) - [i18]Zhenxing Zhang, Lambert Schomaker:
DiverGAN: An Efficient and Effective Single-Stage Framework for Diverse Text-to-Image Generation. CoRR abs/2111.09267 (2021) - 2020
- [j32]Pornntiwa Pawara, Emmanuel Okafor, Marc Groefsema, Sheng He, Lambert R. B. Schomaker, Marco A. Wiering:
One-vs-One classification for deep neural networks. Pattern Recognit. 108: 107528 (2020) - [j31]Maruf A. Dhali, Camilo Nathan Jansen, Jan Willem de Wit, Lambert Schomaker:
Feature-extraction methods for historical manuscript dating based on writing style development. Pattern Recognit. Lett. 131: 413-420 (2020) - [j30]Sheng He, Lambert Schomaker:
FragNet: Writer Identification Using Deep Fragment Networks. IEEE Trans. Inf. Forensics Secur. 15: 3013-3022 (2020) - [c91]Mahya Ameryan, Lambert Schomaker:
A High-Performance Word Recognition System for the Biological Fieldnotes of the Natuurkundige Commissie. COLCO 2020: 92-103 - [c90]Thomas van Dongen, Gideon Maillette de Buy Wenniger, Lambert Schomaker:
SChuBERT: Scholarly Document Chunks with BERT-encoding boost Citation Count Prediction. SDP@EMNLP 2020: 148-157 - [c89]Gideon Maillette de Buy Wenniger, Thomas van Dongen, Eleri Aedmaa, Herbert Teun Kruitbosch, Edwin A. Valentijn, Lambert Schomaker:
Structure-Tags Improve Text Classification for Scholarly Document Quality Prediction. SDP@EMNLP 2020: 158-167 - [c88]Pornntiwa Pawara, Alina Boshchenko, Lambert R. B. Schomaker, Marco A. Wiering:
Deep Learning with Data Augmentation for Fruit Counting. ICAISC (1) 2020: 203-214 - [c87]Mahya Ameryan, Lambert Schomaker:
Improving the robustness of LSTMs for word classification using stressed word endings in dual-state word-beam search. ICFHR 2020: 13-18 - [c86]Sukalpa Chanda, Daniel Haitink, Prashant Kumar Prasad, Jochem Baas, Umapada Pal, Lambert Schomaker:
Recognizing Bengali Word Images - A Zero-Shot Learning Perspective. ICPR 2020: 5603-5610 - [c85]Sha Luo, S. Hamidreza Kasaei, Lambert Schomaker:
Accelerating Reinforcement Learning for Reaching Using Continuous Curriculum Learning. IJCNN 2020: 1-8 - [c84]Huaitian Lu, Lambert R. B. Schomaker, Raffaella Carloni:
IMU-based Deep Neural Networks for Locomotor Intention Prediction. IROS 2020: 4134-4139 - [c83]Yikun Li, Lambert Schomaker, S. Hamidreza Kasaei:
Learning to Grasp 3D Objects using Deep Residual U-Nets. RO-MAN 2020: 781-787 - [i17]Sha Luo, S. Hamidreza Kasaei, Lambert Schomaker:
Accelerating Reinforcement Learning for Reaching using Continuous Curriculum Learning. CoRR abs/2002.02697 (2020) - [i16]Yikun Li, Lambert Schomaker, S. Hamidreza Kasaei:
Learning to Grasp 3D Objects using Deep Residual U-Nets. CoRR abs/2002.03892 (2020) - [i15]Sheng He, Lambert Schomaker:
FragNet: Writer Identification using Deep Fragment Networks. CoRR abs/2003.07212 (2020) - [i14]Tim S. Oosterhuis, Lambert Schomaker:
"Who is Driving around Me?" Unique Vehicle Instance Classification using Deep Neural Features. CoRR abs/2003.08771 (2020) - [i13]Gideon Maillette de Buy Wenniger, Thomas van Dongen, Eleri Aedmaa, Herbert Teun Kruitbosch, Edwin A. Valentijn, Lambert Schomaker:
Structure-Tags Improve Text Classification for Scholarly Document Quality Prediction. CoRR abs/2005.00129 (2020) - [i12]Mladen Popovic, Maruf A. Dhali, Lambert Schomaker:
Artificial intelligence based writer identification generates new evidence for the unknown scribes of the Dead Sea Scrolls exemplified by the Great Isaiah Scroll (1QIsaa). CoRR abs/2010.14476 (2020) - [i11]Zhenxing Zhang, Lambert Schomaker:
DTGAN: Dual Attention Generative Adversarial Networks for Text-to-Image Generation. CoRR abs/2011.02709 (2020) - [i10]Thomas van Dongen, Gideon Maillette de Buy Wenniger, Lambert Schomaker:
SChuBERT: Scholarly Document Chunks with BERT-encoding boost Citation Count Prediction. CoRR abs/2012.11740 (2020)
2010 – 2019
- 2019
- [j29]Bowornrat Sriman, Lambert Schomaker:
Multi-script text versus non-text classification of regions in scene images. J. Vis. Commun. Image Represent. 62: 23-42 (2019) - [j28]Klaas Dijkstra, Jaap van de Loosdrecht, Lambert R. B. Schomaker, Marco A. Wiering:
Hyperspectral demosaicking and crosstalk correction using deep learning. Mach. Vis. Appl. 30(1): 1-21 (2019) - [j27]Sheng He, Lambert Schomaker:
Deep adaptive learning for writer identification based on single handwritten word images. Pattern Recognit. 88: 64-74 (2019) - [j26]Sheng He, Lambert Schomaker:
DeepOtsu: Document enhancement and binarization using iterative deep learning. Pattern Recognit. 91: 379-390 (2019) - [c82]Cor Steging, Lambert Schomaker, Bart Verheij:
The XAI paradox: Systems that Perform Well for the Wrong Reasons. BNAIC/BENELEARN 2019 - [c81]Lambert Schomaker:
Continuous Learning in Large-scale Problems: The Case of Multi-script Historical Handwritten Document Collections. ICAART (1) 2019: 13 - [c80]Gideon Maillette de Buy Wenniger, Lambert Schomaker, Andy Way:
No Padding Please: Efficient Neural Handwriting Recognition. ICDAR 2019: 355-362 - [i9]Sheng He, Lambert Schomaker:
DeepOtsu: Document Enhancement and Binarization using Iterative Deep Learning. CoRR abs/1901.06081 (2019) - [i8]Gideon Maillette de Buy Wenniger, Lambert Schomaker, Andy Way:
No Padding Please: Efficient Neural Handwriting Recognition. CoRR abs/1902.11208 (2019) - [i7]Lambert Schomaker:
A large-scale field test on word-image classification in large historical document collections using a traditional and two deep-learning methods. CoRR abs/1904.08421 (2019) - [i6]Maruf A. Dhali, Jan Willem de Wit, Lambert Schomaker:
BiNet: Degraded-Manuscript Binarization in Diverse Document Textures and Layouts using Deep Encoder-Decoder Networks. CoRR abs/1911.07930 (2019) - [i5]Mahya Ameryan, Lambert Schomaker:
A limited-size ensemble of homogeneous CNN/LSTMs for high-performance word classification. CoRR abs/1912.03223 (2019) - [i4]Lambert Schomaker:
Lifelong learning for text retrieval and recognition in historical handwritten document collections. CoRR abs/1912.05156 (2019) - 2018
- [j25]Emmanuel Okafor, Lambert Schomaker, Marco A. Wiering:
An analysis of rotation matrix and colour constancy data augmentation in classifying images of animals. J. Inf. Telecommun. 2(4): 465-491 (2018) - [c79]Sukalpa Chanda, Emmanuel Okafor, Sébastien Hamel, Dominique Stutzmann, Lambert Schomaker:
Deep Learning for Classification and as Tapped-Feature Generator in Medieval Word-Image Recognition. DAS 2018: 217-222 - [c78]Dominique Stutzmann, Christopher Kermorvant, Enrique Vidal, Sukalpa Chanda, Sébastien Hamel, Joan Puigcerver, Lambert Schomaker, Alejandro H. Toselli:
Handwritten Text Recognition, Keyword Indexing, and Plain Text Search in Medieval Manuscripts. DH 2018: 298-301 - [c77]Jos van de Wolfshaar, Marco A. Wiering, Lambert Schomaker:
Deep Learning Policy Quantization. ICAART (2) 2018: 122-130 - [c76]Emmanuel Okafor, Gerard Berendsen, Lambert Schomaker, Marco A. Wiering:
Detection and Recognition of Badgers Using Deep Learning. ICANN (3) 2018: 554-563 - [c75]Sukalpa Chanda, Jochem Baas, Daniel Haitink, Sébastien Hamel, Dominique Stutzmann, Lambert Schomaker:
Zero-Shot Learning Based Approach For Medieval Word Recognition using Deep-Learned Features. ICFHR 2018: 345-350 - [c74]Francesco Bidoia, Matthia Sabatelli, Amirhossein Shantia, Marco A. Wiering, Lambert Schomaker:
A Deep Convolutional Neural Network for Location Recognition and Geometry based Information. ICPRAM 2018: 27-36 - [c73]Klaas Dijkstra, Jaap van de Loosdrecht, Lambert R. B. Schomaker, Marco A. Wiering:
CentroidNet: A Deep Neural Network for Joint Object Localization and Counting. ECML/PKDD (3) 2018: 585-601 - [i3]Sheng He, Lambert Schomaker:
Open Set Chinese Character Recognition using Multi-typed Attributes. CoRR abs/1808.08993 (2018) - [i2]Sheng He, Lambert Schomaker:
Deep Adaptive Learning for Writer Identification based on Single Handwritten Word Images. CoRR abs/1809.10954 (2018) - 2017
- [j24]Sheng He, Lambert Schomaker:
Beyond OCR: Multi-faceted understanding of handwritten document characteristics. Pattern Recognit. 63: 321-333 (2017) - [j23]Sheng He, Lambert Schomaker:
Writer identification using curvature-free features. Pattern Recognit. 63: 451-464 (2017) - [c72]Pornntiwa Pawara, Emmanuel Okafor, Lambert Schomaker, Marco A. Wiering:
Data Augmentation for Plant Classification. ACIVS 2017: 615-626 - [c71]Michael Piotrowski, Lambert Schomaker, Thomas Burch, Tobias Hodel:
Virtuelle Forschungsplattformen im Vergleich: MONK, Textgrid, Transcribo und Transkribus. DHd 2017 - [c70]Klaas Dijkstra, Jaap van de Loosdrecht, Lambert Schomaker, Marco A. Wiering:
Hyper-spectral frequency selection for the classification of vegetation diseases. ESANN 2017 - [c69]Pornntiwa Pawara, Emmanuel Okafor, Olarik Surinta, Lambert Schomaker, Marco A. Wiering:
Comparing Local Descriptors and Bags of Visual Words to Deep Convolutional Neural Networks for Plant Recognition. ICPRAM 2017: 479-486 - [c68]Maruf A. Dhali, Sheng He, Mladen Popovic, Eibert Tigchelaar, Lambert Schomaker:
A Digital Palaeographic Approach towards Writer Identification in the Dead Sea Scrolls. ICPRAM 2017: 693-702 - [c67]Emmanuel Okafor, Rik Smit, Lambert Schomaker, Marco A. Wiering:
Operational data augmentation in classifying single aerial images of animals. INISTA 2017: 354-360 - [c66]Andreas Weber, Mahya Ameryan, Katherine Wolstencroft, Lise Stork, Maarten Heerlien, Lambert Schomaker:
Towards a Digital Infrastructure for Illustrated Handwritten Archives. ITN-DCH 2017: 155-166 - 2016
- [j22]Valeriu Codreanu, Bob Dröge, David Williams, Burhan Yasar, Po Yang, Baoquan Liu, Feng Dong, Olarik Surinta, Lambert R. B. Schomaker, Jos B. T. M. Roerdink, Marco A. Wiering:
Evaluating automatically parallelized versions of the support vector machine. Concurr. Comput. Pract. Exp. 28(7): 2274-2294 (2016) - [j21]Sheng He, Petros Samara, Jan Burgers, Lambert Schomaker:
Historical manuscript dating based on temporal pattern codebook. Comput. Vis. Image Underst. 152: 167-175 (2016) - [j20]Lambert Schomaker:
Design considerations for a large-scale image-based text search engine in historical manuscript collections. it Inf. Technol. 58(2): 80-88 (2016) - [j19]Masahiro Niitsuma, Lambert Schomaker, Jean-Paul van Oosten, Yo Tomita, David Bell:
Musicologist-driven writer identification in early music manuscripts. Multim. Tools Appl. 75(11): 6463-6479 (2016) - [j18]Sheng He, Petros Samara, Jan Burgers, Lambert Schomaker:
Image-based historical manuscript dating using contour and stroke fragments. Pattern Recognit. 58: 159-171 (2016) - [j17]Tapan Kumar Bhowmik, Swapan Kumar Parui, Utpal Roy, Lambert Schomaker:
Bangla Handwritten Character Segmentation Using Structural Features: A Supervised and Bootstrapping Approach. ACM Trans. Asian Low Resour. Lang. Inf. Process. 15(4): 29:1-29:26 (2016) - [j16]Sheng He, Petros Samara, Jan Burgers, Lambert Schomaker:
A Multiple-Label Guided Clustering Algorithm for Historical Document Dating and Localization. IEEE Trans. Image Process. 25(11): 5252-5265 (2016) - [c65]Edwin Valentijn, K. G. Begeman, Andrey N. Belikov, Danny Boxhoorn, Jarle Brinchmann, John McFarland, H. Holties, K. H. Kuijken, Gijs A. Verdoes Kleijn, Willem-Jan Vriend, O. Rees Williams, Jos B. T. M. Roerdink, Lambert R. B. Schomaker, Morris A. Swertz, A. Tsyganov, G. J. W. van Dijk:
Target and (Astro-)WISE technologies Data federations and its applications. Astroinformatics 2016: 333-340 - [c64]Sheng He, Petros Samara, Jan Burgers, Lambert Schomaker:
Historical Document Dating Using Unsupervised Attribute Learning. DAS 2016: 36-41 - [c63]Sheng He, Lambert Schomaker:
General Pattern Run-Length Transform for Writer Identification. DAS 2016: 60-65 - [c62]Lambert Schomaker, Andreas Weber, Michiel Thijssen, Maarten Heerlien, Aske Plaat, Siegfried Nijssen, Fons J. Verbeek, Michael S. Lew, Eulalia Gasso Miracle, Katy Wolstencroft, Ernest Suyver, Bart Verheij, Marco A. Wiering, René Dekker, Joost N. Kok, Lissa Roberts, H. Jaap van den Herik:
Making Sense of Illustrated Handwritten Archives. DH 2016: 674-676 - [c61]Sheng He, Petros Samara, Jan Burgers, Lambert Schomaker:
Discovering Visual Element Evolutions for Historical Document Dating. ICFHR 2016: 7-12 - [c60]Sheng He, Lambert Schomaker:
Co-occurrence Features for Writer Identification. ICFHR 2016: 78-83 - [c59]Emmanuel Okafor, Pornntiwa Pawara, Faik Karaaba, Olarik Surinta, Valeriu Codreanu, Lambert Schomaker, Marco A. Wiering:
Comparative study between deep learning and bag of visual words for wild-animal recognition. SSCI 2016: 1-8 - [c58]Amirhosein Shantia, Francesco Bidoia, Lambert Schomaker, Marco A. Wiering:
Dynamic parameter update for robot navigation systems through unsupervised environmental situational analysis. SSCI 2016: 1-7 - [c57]Mahir Faik Karaaba, Olarik Surinta, Lambert R. B. Schomaker, Marco A. Wiering:
Robust Face Identification with Small Sample Sizes using Bag of Words and Histogram of Oriented Gradients. VISIGRAPP (4: VISAPP) 2016: 582-589 - [i1]Lambert Schomaker:
Some problems with a Scotsman and a Russian: Caveats on Bayesian and hidden-Markov models (v2.3). CoRR abs/1608.05277 (2016) - 2015
- [j15]Olarik Surinta, Mahir Faik Karaaba, Lambert R. B. Schomaker, Marco A. Wiering:
Recognition of handwritten characters using local gradient feature descriptors. Eng. Appl. Artif. Intell. 45: 405-414 (2015) - [j14]Sheng He, Marco A. Wiering, Lambert Schomaker:
Junction detection in handwritten documents and its application to writer identification. Pattern Recognit. 48(12): 4036-4048 (2015) - [c56]Bowornrat Sriman, Lambert Schomaker:
Explicit foreground and background modeling in the classification of text blocks in scene images. ACPR 2015: 755-759 - [c55]Olarik Surinta, Mahir Faik Karaaba, Tusar Kanti Mishra, Lambert Schomaker, Marco A. Wiering:
Recognizing Handwritten Characters with Local Descriptors and Bags of Visual Words. EANN 2015: 255-264 - [c54]Sheng He, Lambert Schomaker:
A Polar Stroke Descriptor for classification of historical documents. ICDAR 2015: 6-10 - [c53]Bowornrat Sriman, Lambert Schomaker:
Object Attention Patches for Text Detection and Recognition in Scene Images using SIFT. ICPRAM (1) 2015: 304-311 - [c52]Amirhosein Shantia, Rik Timmers, Lambert Schomaker, Marco A. Wiering:
Indoor localization by denoising autoencoders and semi-supervised learning in 3D simulated environment. IJCNN 2015: 1-7 - [c51]Florin Schimbinschi, Lambert Schomaker, Marco A. Wiering:
Ensemble Methods for Robust 3D Face Recognition Using Commodity Depth Sensors. SSCI 2015: 180-187 - [c50]Mahir Faik Karaaba, Olarik Surinta, Lambert Schomaker, Marco A. Wiering:
Robust Face Recognition by Computing Distances From Multiple Histograms of Oriented Gradients. SSCI 2015: 203-209 - [c49]Mahir Faik Karaaba, Olarik Surinta, Lambert R. B. Schomaker, Marco A. Wiering:
In-plane Rotational Alignment of Faces by Eye and Eye-pair Detection. VISAPP (2) 2015: 392-399 - 2014
- [j13]Mahir Faik Karaaba, Lambert Schomaker, Marco A. Wiering:
Machine learning for multi-view eye-pair detection. Eng. Appl. Artif. Intell. 33: 69-79 (2014) - [j12]Jean-Paul van Oosten, Lambert Schomaker:
Separability versus prototypicality in handwritten word-image retrieval. Pattern Recognit. 47(3): 1031-1038 (2014) - [c48]Olarik Surinta, Michiel Holtkamp, Faik Karaaba, Jean-Paul van Oosten, Lambert Schomaker, Marco A. Wiering:
A Path Planning for Line Segmentation of Handwritten Documents. ICFHR 2014: 175-180 - [c47]Sheng He, Petros Sammara, Jan Burgers, Lambert Schomaker:
Towards Style-Based Dating of Historical Documents. ICFHR 2014: 265-270 - [c46]Jean-Paul van Oosten, Lambert Schomaker:
A Reevaluation and Benchmark of Hidden Markov Models. ICFHR 2014: 531-536 - [c45]