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检索条件"机构=Human Language Technology And Pattern Recognition Group"
397 条 记 录,以下是171-180 订阅
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ELoPE: Fine-Grained Visual Classification with Efficient Localization, Pooling and Embedding
arXiv
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arXiv 2019年
作者: Hanselmann, Harald Ney, Hermann Human Language Technology and Pattern Recognition Group RWTH Aachen University Aachen Germany
The task of fine-grained visual classification (FGVC) deals with classification problems that display a small inter-class variance such as distinguishing between different bird species or car models. State-of-the-art ... 详细信息
来源: 评论
Fine-Grained Visual Categorization with 2D-Warping
Fine-Grained Visual Categorization with 2D-Warping
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International Conference on pattern recognition
作者: Harald Hanselmann Hermann Ney Human Language Technology and Pattern Recognition Group RWTH Aachen University Aachen Germany
The task of fine-grained visual categorization is related to both general object recognition and specialized tasks such as face recognition. Hence, we propose to combine two methods popular for general object recognit... 详细信息
来源: 评论
Analysis of Preprocessing Techniques for Latin Handwriting recognition
Analysis of Preprocessing Techniques for Latin Handwriting R...
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International Workshop on Frontiers in Handwriting recognition
作者: Hendrik Pesch Mahdi Hamdani Jens Forster Hermann Ney Human Language Technology and Pattern Recognition Group RWTH Aachen University Aachen Germany
In this work we analyze the contribution of preprocessing steps for Latin handwriting recognition. A preprocessing pipeline based on geometric heuristics and image statistics is used. This pipeline is applied to Frenc... 详细信息
来源: 评论
Multilingual Off-Line Handwriting recognition in Real-World Images
Multilingual Off-Line Handwriting Recognition in Real-World ...
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IAPR International Workshop on Document Analysis Systems, DAS
作者: Michal Kozielski Patrick Doetsch Mahdi Hamdani Hermann Ney Human Language Technology and Pattern Recognition Group RWTH Aachen University Aachen Germany
We propose a state-of-the-art system for recognizing real-world handwritten images exposing a huge degree of noise and a high out-of-vocabulary rate. We describe methods for successful image demising, line removal, de... 详细信息
来源: 评论
Chunk-level reordering of source language sentences with automatically learned rules for statistical machine translation
Chunk-level reordering of source language sentences with aut...
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2007 AMTA Workshop on Syntax and Structure in Statistical Translation, SSST 2007 at the 2007 Conference of the North American Chapter of the Association for Computational Linguistics: human language Technologies, NAACL-HLT 2007
作者: Zhang, Yuqi Zens, Richard Ney, Hermann Human Language Technology and Pattern Recognition Lehrstuhl für Informatik 6 Computer Science Department RWTH Aachen University AachenD-52056 Germany
In this paper, we describe a source-side reordering method based on syntactic chunks for phrase-based statistical machine translation. First, we shallow parse the source language sentences. Then, reordering rules are ... 详细信息
来源: 评论
Impact of automatic segmentation on the quality, productivity and self-reported post-editing effort of intralingual subtitles  10
Impact of automatic segmentation on the quality, productivit...
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10th International Conference on language Resources and Evaluation, LREC 2016
作者: Álvarez, Aitor Balenciaga, Marina Del Pozo, Arantza Arzelus, Haritz Matamala, Anna Martínez-Hinarejos, Carlos-D. Human Speech and Language Technology Group Vicomtech-IK4 San-Sebastian Spain Department of Translation Interpreting and East Asian Studies UAB Barcelona Spain Pattern Recognition and Human Language Technologies Research Center Universitat Politècnica de València Spain
This paper describes the evaluation methodology followed to measure the impact of using a machine learning algorithm to automatically segment intralingual subtitles. The segmentation quality, productivity and self-rep... 详细信息
来源: 评论
Bi-modal handwritten text recognition (BiHTR) ICPR 2010 contest report
Bi-modal handwritten text recognition (BiHTR) ICPR 2010 cont...
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20th International Conference on pattern recognition, ICPR 2010
作者: Pastor, Moisés Paredes, Roberto Pattern Recognition and Human Language Technologies group Department of Information Systems and Computation Technical University of Valencia Cami de Vera s/n. Valencia46022 Spain
Handwritten text is generally captured through two main modalities: off-line and on-line. Each modality has advantages and disadvantages, but it seems clear that smart approaches to handwritten text recognition (HTR) ... 详细信息
来源: 评论
Robust Knowledge Distillation from RNN-T Models with Noisy Training Labels Using Full-Sum Loss  48
Robust Knowledge Distillation from RNN-T Models with Noisy T...
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48th IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2023
作者: Zeineldeen, Mohammad Audhkhasi, Kartik Baskar, Murali Karthick Ramabhadran, Bhuvana Rwth Aachen University Human Language Technology and Pattern Recognition Computer Science Department Aachen52074 Germany Google Llc New York United States
This work studies knowledge distillation (KD) and addresses its constraints for recurrent neural network transducer (RNN-T) models. In hard distillation, a teacher model transcribes large amounts of unlabelled speech ... 详细信息
来源: 评论
Effective cross-lingual transfer of neural machine translation models without shared vocabularies
arXiv
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arXiv 2019年
作者: Kim, Yunsu Gao, Yingbo Ney, Hermann Human Language Technology and Pattern Recognition Group Rwth Aachen University Aachen Germany
Transfer learning or multilingual model is essential for low-resource neural machine translation (NMT), but the applicability is limited to cognate languages by sharing their vocabularies. This paper shows effective t... 详细信息
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Unsupervised adaptation of a denoising autoencoder by Bayesian Feature Enhancement for reverberant asr under mismatch conditions  40
Unsupervised adaptation of a denoising autoencoder by Bayesi...
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40th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015
作者: Heymann, Jahn Haeb-Umbach, Reinhold Golik, Pavel Schluter, Ralf University of Paderborn Department of Communications Engineering Paderborn Germany RWTH Aachen University Human Language Technology and Pattern Recognition Computer Science Department Aachen Aachen Germany
The parametric Bayesian Feature Enhancement (BFE) and a datadriven Denoising Autoencoder (DA) both bring performance gains in severe single-channel speech recognition conditions. The first can be adjusted to different... 详细信息
来源: 评论