Search Results for author: Anh Duc Le

Found 7 papers, 1 papers with code

Disaster Tweets Classification using BERT-Based Language Model

no code implementations31 Jan 2022 Anh Duc Le

Social networking services have became an important communication channel in time of emergency.

Classification Language Modelling

Automated Transcription for Pre-Modern Japanese Kuzushiji Documents by Random Lines Erasure and Curriculum Learning

no code implementations6 May 2020 Anh Duc Le

For the lack of training data, we propose a random text line erasure approach that randomly erases text lines and distorts documents.

Deep Learning Approach for Receipt Recognition

no code implementations30 May 2019 Anh Duc Le, Dung Van Pham, Tuan Anh Nguyen

Inspired by the recent successes of deep learning on Computer Vision and Natural Language Processing, we present a deep learning approach for recognizing scanned receipts.

Optical Character Recognition (OCR) Text Detection

End to End Recognition System for Recognizing Offline Unconstrained Vietnamese Handwriting

no code implementations14 May 2019 Anh Duc Le, Hung Tuan Nguyen, Masaki Nakagawa

Inspired by recent successes in neural machine translation and image caption generation, we present an attention based encoder decoder model (AED) to recognize Vietnamese Handwritten Text.

Handwriting Recognition Handwritten Text Recognition +3

A human-inspired recognition system for premodern Japanese historical documents

no code implementations14 May 2019 Anh Duc Le, Tarin Clanuwat, Asanobu Kitamoto

In this paper, we propose a human-inspired document reading system to recognize multiple lines of premodern Japanese historical documents.

Pattern Generation Strategies for Improving Recognition of Handwritten Mathematical Expressions

1 code implementation21 Jan 2019 Anh Duc Le, Bipin Indurkhya, Masaki Nakagawa

In this paper, we propose pattern generation strategies that generate shape and structural variations to improve the performance of recognition systems based on a small training set.

Outlier Detection using Generative Models with Theoretical Performance Guarantees

no code implementations26 Oct 2018 Jirong Yi, Anh Duc Le, Tianming Wang, Xiaodong Wu, Weiyu Xu

In this paper, we propose a generative model neural network approach for reconstructing the ground truth signals under sparse outliers.

Outlier Detection

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