Volkmar Frinken

发表

Hybrid Grammar Language Model for Handwritten Historical Documents Recognition

Núria Cirera, Alicia Fornés, Volkmar Frinken, 2013, IbPRIA.

Improving HMM-Based Keyword Spotting with Character Language Models

Volkmar Frinken, Ching Y. Suen, Horst Bunke, 2013, 2013 12th International Conference on Document Analysis and Recognition.

Visual Saliency Models for Text Detection in Real World

Volkmar Frinken, Seiichi Uchida, Asif Shahab, 2014, PloS one.

Adapting BLSTM Neural Network Based Keyword Spotting Trained on Modern Data to Historical Documents

Volkmar Frinken, Horst Bunke, R. Manmatha, 2010, 2010 12th International Conference on Frontiers in Handwriting Recognition.

Selective Concealment of Characters for Privacy Protection

Volkmar Frinken, Yaokai Feng, Seiichi Uchida, 2014, 2014 22nd International Conference on Pattern Recognition.

A Novel Word Spotting Method Based on Recurrent Neural Networks

Volkmar Frinken, Horst Bunke, R. Manmatha, 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.

A keyword spotting approach using blurred shape model-based descriptors

Alicia Fornés, Volkmar Frinken, Horst Bunke, 2011, HIP '11.

Handwritten Keyword Spotting in Historical Documents

Volkmar Frinken, Shriphani Palakodety, 2020 .

Neural network language models for off-line handwriting recognition

Volkmar Frinken, Horst Bunke, Salvador España Boquera, 2014, Pattern Recognition.

Co-training for Handwritten Word Recognition

Alicia Fornés, Volkmar Frinken, Horst Bunke, 2011, 2011 International Conference on Document Analysis and Recognition.

Efficient temporal pattern recognition by means of dissimilarity space embedding with discriminative prototypes

Volkmar Frinken, Kaspar Riesen, Seiichi Uchida, 2017, Pattern Recognit..

Handwriting recognition in historical documents using very large vocabularies

Volkmar Frinken, Andreas Fischer, Carlos D. Martínez-Hinarejos, 2013, HIP '13.

Semi-supervised learning for cursive handwriting recognition using keyword spotting

Volkmar Frinken, Horst Bunke, Andreas Fischer, 2012, 2012 International Conference on Frontiers in Handwriting Recognition.

HMM-Based Alignment of Inaccurate Transcriptions for Historical Documents

Volkmar Frinken, Horst Bunke, Andreas Fischer, 2011, 2011 International Conference on Document Analysis and Recognition.

BLSTM Neural Network Based Word Retrieval for Hindi Documents

C. V. Jawahar, Volkmar Frinken, R. Manmatha, 2011, 2011 International Conference on Document Analysis and Recognition.

Design of Unsupervised Feature Extraction System for On-line Bangla Handwriting Recognition

Umapada Pal, Volkmar Frinken, Nilanjana Bhattacharya, 2014, 2014 11th IAPR International Workshop on Document Analysis Systems.

A Novel HMM Decoding Algorithm Permitting Long-Term Dependencies and Its Application to Handwritten Word Recognition

Volkmar Frinken, Seiichi Uchida, Ryosuke Kakisako, 2014, 2014 14th International Conference on Frontiers in Handwriting Recognition.

Improved BLSTM Neural Networks for Recognition of On-Line Bangla Complex Words

Umapada Pal, Volkmar Frinken, Seiichi Uchida, 2014, S+SSPR.

Automatic Signature Stability Analysis and Verification Using Local Features

Volkmar Frinken, Marcus Liwicki, Andreas Dengel, 2014, 2014 14th International Conference on Frontiers in Handwriting Recognition.

Transcription alignment of Latin manuscripts using hidden Markov models

Alicia Fornés, Volkmar Frinken, Horst Bunke, 2011, HIP '11.

Evaluating Retraining Rules for Semi-Supervised Learning in Neural Network Based Cursive Word Recognition

Volkmar Frinken, Horst Bunke, H. Bunke, 2009, 2009 10th International Conference on Document Analysis and Recognition.

Automatic Transcription of Handwritten Medieval Documents

Volkmar Frinken, Marcus Liwicki, Michael Stolz, 2009, 2009 15th International Conference on Virtual Systems and Multimedia.

Multimodal page classification in administrative document image streams

Volkmar Frinken, Josep Lladós, Andrew D. Bagdanov, 2014, International Journal on Document Analysis and Recognition (IJDAR).

Volkmar Frinken, Seiichi Uchida, Giuseppe Pirlo, 2015, 2015 13th International Conference on Document Analysis and Recognition (ICDAR).

The ESPOSALLES database: An ancient marriage license corpus for off-line handwriting recognition

Alicia Fornés, Volkmar Frinken, Josep Lladós, 2013, Pattern Recognit..

Hidden Markov Models for Off-Line Cursive Handwriting Recognition

Volkmar Frinken, Horst Bunke, Andreas Fischer, 2013 .

A Cache Language Model for Whole Document Handwriting Recognition

Volkmar Frinken, Andreas Fischer, Dimosthenis Karatzas, 2014, 2014 11th IAPR International Workshop on Document Analysis Systems.

DTW-NN: A novel neural network for time series recognition using dynamic alignment between inputs and weights

Volkmar Frinken, Seiichi Uchida, Brian Kenji Iwana, 2020, Knowl. Based Syst..

Long-short term memory neural networks language modeling for handwriting recognition

Volkmar Frinken, Horst Bunke, Salvador España Boquera, 2012, Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012).

2011 International Conference on Document Analysis and Recognition, ICDAR 2011, Beijing, China, September 18-21, 2011

Bart Lamiroy, Volkmar Frinken, Horst Bunke, 2011, ICDAR.

Latest Developments of LSTM Neural Networks with Applications of Document Image Analysis

Volkmar Frinken, Marcus Liwicki, Muhammad Zeshan Afzal, 2016, Handbook of Pattern Recognition and Computer Vision.

Volkmar Frinken, Seiichi Uchida, Brian Kenji Iwana, 2016, 2016 15th International Conference on Frontiers in Handwriting Recognition (ICFHR).

Overwriting repetition and crossing-out detection in online handwritten text

Umapada Pal, Volkmar Frinken, Partha Pratim Roy, 2015, 2015 3rd IAPR Asian Conference on Pattern Recognition (ACPR).

Improving handwritten keyword spotting with self-training

Volkmar Frinken, Horst Bunke, Andreas Fischer, 2011, SAC.

HMM word graph based keyword spotting in handwritten document images

Volkmar Frinken, Alejandro Héctor Toselli Rossi, Enrique Vidal, 2016, Inf. Sci..

Improved Handwriting Recognition by Combining Two Forms of Hidden Markov Models and a Recurrent Neural Network

Volkmar Frinken, Horst Bunke, Andreas Fischer, 2009, CAIP.

Learning non-Markovian constraints for handwriting recognition

Volkmar Frinken, Seiichi Uchida, Ryosuke Kakisako, 2015, 2015 13th International Conference on Document Analysis and Recognition (ICDAR).

Continuous Handwritten Script Recognition

Volkmar Frinken, Horst Bunke, H. Bunke, 2014, Handbook of Document Image Processing and Recognition.

Combining Neural Networks to Improve Performance of Handwritten Keyword Spotting

Volkmar Frinken, Horst Bunke, Andreas Fischer, 2010, MCS.

Lexicon-free handwritten word spotting using character HMMs

Andreas Keller, Volkmar Frinken, Horst Bunke, 2012, Pattern Recognit. Lett..

Video and Audio Data Extraction for Retrieval, Ranking and Recapitulation (VADER ^3 )

Volkmar Frinken, Nilesh Powar, Shriphani Palakodety, 2018, ANNPR.

A Novel Word Spotting Algorithm Using Bidirectional Long Short-Term Memory Neural Networks

Volkmar Frinken, Horst Bunke, Andreas Fischer, 2010, ANNPR.

2012 International Conference on Frontiers in Handwriting Recognition, ICFHR 2012, Bari, Italy, September 18-20, 2012

Venu Govindaraju, Chunheng Wang, Baihua Xiao, 2012, ICFHR.

Constrained AdaBoost for Totally-Ordered Global Features

Volkmar Frinken, Minoru Mori, Seiichi Uchida, 2014, 2014 14th International Conference on Frontiers in Handwriting Recognition.

Improving Hausdorff Edit Distance Using Structural Node Context

Volkmar Frinken, Kaspar Riesen, Horst Bunke, 2015, GbRPR.

Proceedings of the 4th International Workshop on Historical Document Imaging and Processing

Volkmar Frinken, Bertrand Coüasnon, Volker Märgner, 2017, HIP@ICDAR.

Approximation of graph edit distance based on Hausdorff matching

Volkmar Frinken, Ching Y. Suen, Kaspar Riesen, 2015, Pattern Recognit..

Self-training for Handwritten Text Line Recognition

Volkmar Frinken, Horst Bunke, H. Bunke, 2010, CIARP.

A Fast Matching Algorithm for Graph-Based Handwriting Recognition

Volkmar Frinken, Ching Y. Suen, Kaspar Riesen, 2013, GbRPR.

Improving Point of View Scene Recognition by Considering Textual Data

Volkmar Frinken, Seiichi Uchida, Kensho Fujisaki, 2014, 2014 22nd International Conference on Pattern Recognition.

Mode Detection in Online Handwritten Documents Using BLSTM Neural Networks

Volkmar Frinken, Horst Bunke, Emanuel Indermühle, 2012, 2012 International Conference on Frontiers in Handwriting Recognition.

Improving Graph Classification by Isomap

Volkmar Frinken, Kaspar Riesen, Horst Bunke, 2009, GbRPR.

Self-training Strategies for Handwriting Word Recognition

Volkmar Frinken, Horst Bunke, H. Bunke, 2009, ICDM.

Tackling temporal pattern recognition by vector space embedding

Volkmar Frinken, Kaspar Riesen, Seiichi Uchida, 2015, 2015 13th International Conference on Document Analysis and Recognition (ICDAR).

Deep BLSTM neural networks for unconstrained continuous handwritten text recognition

Volkmar Frinken, Seiichi Uchida, S. Uchida, 2015, 2015 13th International Conference on Document Analysis and Recognition (ICDAR).

Keyword Spotting in Online Handwritten Documents Containing Text and Non-text Using BLSTM Neural Networks

Volkmar Frinken, Horst Bunke, Andreas Fischer, 2011, 2011 International Conference on Document Analysis and Recognition.

HMM-based Word Spotting in Handwritten Documents Using Subword Models

Andreas Keller, Volkmar Frinken, Horst Bunke, 2010, 2010 20th International Conference on Pattern Recognition.

Keyword spotting for self-training of BLSTM NN based handwriting recognition systems

Volkmar Frinken, Horst Bunke, Andreas Fischer, 2014, Pattern Recognit..

Bidirectional Language Model for Handwriting Recognition

Alicia Fornés, Volkmar Frinken, Josep Lladós, 2012, SSPR/SPR.