Volkmar Frinken

According to our database1, Volkmar Frinken authored at least 52 papers between 2009 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2020
DTW-NN: A novel neural network for time series recognition using dynamic alignment between inputs and weights.
Knowl. Based Syst., 2020

2018
Video and Audio Data Extraction for Retrieval, Ranking and Recapitulation (VADER ^3 ).
Proceedings of the Artificial Neural Networks in Pattern Recognition, 2018

2017
Efficient temporal pattern recognition by means of dissimilarity space embedding with discriminative prototypes.
Pattern Recognit., 2017

2016
HMM word graph based keyword spotting in handwritten document images.
Inf. Sci., 2016

A Robust Dissimilarity-Based Neural Network for Temporal Pattern Recognition.
Proceedings of the 15th International Conference on Frontiers in Handwriting Recognition, 2016

Latest Developments of LSTM Neural Networks with Applications of Document Image Analysis.
Proceedings of the Handbook of Pattern Recognition and Computer Vision, 5th Ed., 2016

2015
Approximation of graph edit distance based on Hausdorff matching.
Pattern Recognit., 2015

Learning non-Markovian constraints for handwriting recognition.
Proceedings of the 13th International Conference on Document Analysis and Recognition, 2015

Tackling temporal pattern recognition by vector space embedding.
Proceedings of the 13th International Conference on Document Analysis and Recognition, 2015

Deep BLSTM neural networks for unconstrained continuous handwritten text recognition.
Proceedings of the 13th International Conference on Document Analysis and Recognition, 2015

Similarity-based regularization for semi-supervised learning for handwritten digit recognition.
Proceedings of the 13th International Conference on Document Analysis and Recognition, 2015

Improving Hausdorff Edit Distance Using Structural Node Context.
Proceedings of the Graph-Based Representations in Pattern Recognition, 2015

Overwriting repetition and crossing-out detection in online handwritten text.
Proceedings of the 3rd IAPR Asian Conference on Pattern Recognition, 2015

2014
Continuous Handwritten Script Recognition.
Proceedings of the Handbook of Document Image Processing and Recognition, 2014

Neural network language models for off-line handwriting recognition.
Pattern Recognit., 2014

Keyword spotting for self-training of BLSTM NN based handwriting recognition systems.
Pattern Recognit., 2014

Multimodal page classification in administrative document image streams.
Int. J. Document Anal. Recognit., 2014

Improved BLSTM Neural Networks for Recognition of On-Line Bangla Complex Words.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2014

Selective Concealment of Characters for Privacy Protection.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Improving Point of View Scene Recognition by Considering Textual Data.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Constrained AdaBoost for Totally-Ordered Global Features.
Proceedings of the 14th International Conference on Frontiers in Handwriting Recognition, 2014

Automatic Signature Stability Analysis and Verification Using Local Features.
Proceedings of the 14th International Conference on Frontiers in Handwriting Recognition, 2014

A Novel HMM Decoding Algorithm Permitting Long-Term Dependencies and Its Application to Handwritten Word Recognition.
Proceedings of the 14th International Conference on Frontiers in Handwriting Recognition, 2014

A Cache Language Model for Whole Document Handwriting Recognition.
Proceedings of the 11th IAPR International Workshop on Document Analysis Systems, 2014

Design of Unsupervised Feature Extraction System for On-line Bangla Handwriting Recognition.
Proceedings of the 11th IAPR International Workshop on Document Analysis Systems, 2014

2013
The ESPOSALLES database: An ancient marriage license corpus for off-line handwriting recognition.
Pattern Recognit., 2013

Handwriting recognition in historical documents using very large vocabularies.
Proceedings of the 2nd International Workshop on Historical Document Imaging and Processing, 2013

Improving HMM-Based Keyword Spotting with Character Language Models.
Proceedings of the 12th International Conference on Document Analysis and Recognition, 2013

Hybrid Grammar Language Model for Handwritten Historical Documents Recognition.
Proceedings of the Pattern Recognition and Image Analysis - 6th Iberian Conference, 2013

A Fast Matching Algorithm for Graph-Based Handwriting Recognition.
Proceedings of the Graph-Based Representations in Pattern Recognition, 2013

2012
Lexicon-free handwritten word spotting using character HMMs.
Pattern Recognit. Lett., 2012

A Novel Word Spotting Method Based on Recurrent Neural Networks.
IEEE Trans. Pattern Anal. Mach. Intell., 2012

Bidirectional Language Model for Handwriting Recognition.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2012

Long-short term memory neural networks language modeling for handwriting recognition.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

Mode Detection in Online Handwritten Documents Using BLSTM Neural Networks.
Proceedings of the 2012 International Conference on Frontiers in Handwriting Recognition, 2012

Semi-supervised Learning for Cursive Handwriting Recognition Using Keyword Spotting.
Proceedings of the 2012 International Conference on Frontiers in Handwriting Recognition, 2012

2011
Improving handwritten keyword spotting with self-training.
Proceedings of the 2011 ACM Symposium on Applied Computing (SAC), TaiChung, Taiwan, March 21, 2011

BLSTM Neural Network Based Word Retrieval for Hindi Documents.
Proceedings of the 2011 International Conference on Document Analysis and Recognition, 2011

Keyword Spotting in Online Handwritten Documents Containing Text and Non-text Using BLSTM Neural Networks.
Proceedings of the 2011 International Conference on Document Analysis and Recognition, 2011

Co-training for Handwritten Word Recognition.
Proceedings of the 2011 International Conference on Document Analysis and Recognition, 2011

A keyword spotting approach using blurred shape model-based descriptors.
Proceedings of the 2011 Workshop on Historical Document Imaging and Processing, 2011

HMM-Based Alignment of Inaccurate Transcriptions for Historical Documents.
Proceedings of the 2011 International Conference on Document Analysis and Recognition, 2011

Transcription alignment of Latin manuscripts using hidden Markov models.
Proceedings of the 2011 Workshop on Historical Document Imaging and Processing, 2011

2010
Combining Neural Networks to Improve Performance of Handwritten Keyword Spotting.
Proceedings of the Multiple Classifier Systems, 9th International Workshop, 2010

HMM-based Word Spotting in Handwritten Documents Using Subword Models.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

Adapting BLSTM Neural Network Based Keyword Spotting Trained on Modern Data to Historical Documents.
Proceedings of the International Conference on Frontiers in Handwriting Recognition, 2010

Self-training for Handwritten Text Line Recognition.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2010

A Novel Word Spotting Algorithm Using Bidirectional Long Short-Term Memory Neural Networks.
Proceedings of the Artificial Neural Networks in Pattern Recognition, 2010

2009
Self-training Strategies for Handwriting Word Recognition.
Proceedings of the Advances in Data Mining. Applications and Theoretical Aspects, 2009

Evaluating Retraining Rules for Semi-Supervised Learning in Neural Network Based Cursive Word Recognition.
Proceedings of the 10th International Conference on Document Analysis and Recognition, 2009

Improving Graph Classification by Isomap.
Proceedings of the Graph-Based Representations in Pattern Recognition, 2009

Improved Handwriting Recognition by Combining Two Forms of Hidden Markov Models and a Recurrent Neural Network.
Proceedings of the Computer Analysis of Images and Patterns, 13th International Conference, 2009


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