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ORCID1st WML@ICDAR 2017: Kyoto, Japan
- First Workshop of Machine Learning, 14th IAPR International Conference on Document Analysis and Recognition, WML@ICDAR 2017, Kyoto, Japan, November 9-15, 2017. IEEE 2017
ICDAR-WML Session 1
- Guillaume Renton
, Clément Chatelain, Sébastien Adam, Christopher Kermorvant, Thierry Paquet:
Handwritten Text Line Segmentation Using Fully Convolutional Network. 5-9 - Andreas Kölsch, Muhammad Zeshan Afzal, Marcus Liwicki:
Multilevel Context Representation for Improving Object Recognition. 10-15 - Ignazio Gallo, Shah Nawaz, Alessandro Calefati:
Semantic Text Encoding for Text Classification Using Convolutional Neural Networks. 16-21
ICDAR-WML Session 2
- Ruyu Zhang, Qingqing Wang, Yue Lu:
Combination of ResNet and Center Loss Based Metric Learning for Handwritten Chinese Character Recognition. 25-29 - Vinaychandran Pondenkandath, Mathias Seuret, Rolf Ingold, Muhammad Zeshan Afzal, Marcus Liwicki:
Exploiting State-of-the-Art Deep Learning Methods for Document Image Analysis. 30-35 - Ignazio Gallo, Alessandro Calefati, Shah Nawaz:
Multimodal Classification Fusion in Real-World Scenarios. 36-41
ICDAR-WML Session 3
- Devarapalli Koteswara Rao, Atul Negi:
Orthographic Properties Based Telugu Text Recognition Using Hidden Markov Models. 45-50 - Gantugs Atarsaikhan, Brian Kenji Iwana, Atsushi Narusawa, Keiji Yanai, Seiichi Uchida:
Neural Font Style Transfer. 51-56 - Nazar Khan, Asma Shaukat:
New Word Pair Level Embeddings to Improve Word Pair Similarity. 57-62
ICDAR-WML Session 4
- Chris Andrew Gadde, Santhoshini Reddy, Viswanath Pulabaigari, Umapada Pal:
Text Independent Writer Identification for Telugu Script Using Directional Filter Based Features. 65-70 - N. Vinay Kumar, D. S. Guru:
A Novel Feature Ranking Criterion for Supervised Interval Valued Feature Selection for Classification. 71-76 - Ahmed Hamdi, Joris Voerman, Mickaël Coustaty, Aurélie Joseph, Vincent Poulain D'Andecy, Jean-Marc Ogier:
Machine Learning vs Deterministic Rule-Based System for Document Stream Segmentation. 77-82
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