4.6 Article

Convolutional neural network-based ensemble methods to recognize Bangla handwritten character

Related references

Note: Only part of the references are listed.
Article Computer Science, Artificial Intelligence

Vector representation based on a supervised codebook for Nepali documents classification

Chiranjibi Sitaula et al.

Summary: Document representation with outlier tokens can hinder classification performance, but the proposed supervised codebook-based representation method successfully addresses this issue for Nepali documents. The method outperforms existing approaches in classification accuracy on Nepali text datasets.

PEERJ COMPUTER SCIENCE (2021)

Proceedings Paper Computer Science, Artificial Intelligence

Robust Handwriting Recognition with Limited and Noisy Data

Hai Pham et al.

2020 17TH INTERNATIONAL CONFERENCE ON FRONTIERS IN HANDWRITING RECOGNITION (ICFHR 2020) (2020)

Review Chemistry, Multidisciplinary

A Survey of Handwritten Character Recognition with MNIST and EMNIST

Alejandro Baldominos et al.

APPLIED SCIENCES-BASEL (2019)

Article Statistics & Probability

The relative performance of ensemble methods with deep convolutional neural networks for image classification

Cheng Ju et al.

JOURNAL OF APPLIED STATISTICS (2018)

Article Computer Science, Artificial Intelligence

Boosting image classification through semantic attention filtering strategies

Eduardo Fidalgo et al.

PATTERN RECOGNITION LETTERS (2018)

Article Mathematical & Computational Biology

Handwritten Bangla Character Recognition Using the State-of-the-Art Deep Convolutional Neural Networks

Md Zahangir Alom et al.

COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE (2018)

Proceedings Paper Computer Science, Theory & Methods

EkushNet: Using Convolutional Neural Network for Bangla Handwritten Recognition

A. K. M. Shahariar Azad Rabby et al.

8TH INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING & COMMUNICATIONS (ICACC-2018) (2018)

Proceedings Paper Computer Science, Artificial Intelligence

Markov Random Field Based Convolutional Neural Networks for Image Classification

Yao Peng et al.

INTELLIGENT DATA ENGINEERING AND AUTOMATED LEARNING - IDEAL 2017 (2017)

Article Computer Science, Hardware & Architecture

ImageNet Classification with Deep Convolutional Neural Networks

Alex Krizhevsky et al.

COMMUNICATIONS OF THE ACM (2017)

Proceedings Paper Computer Science, Artificial Intelligence

Densely Connected Convolutional Networks

Gao Huang et al.

30TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2017) (2017)

Proceedings Paper Computer Science, Artificial Intelligence

Xception: Deep Learning with Depthwise Separable Convolutions

Francois Chollet

30TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2017) (2017)

Article Computer Science, Artificial Intelligence

Evolution maps and applications

Ofer Biller et al.

PEERJ COMPUTER SCIENCE (2016)

Article Engineering, Biomedical

Adaptive Stacked Generalization for Multiclass Motor Imagery-Based Brain Computer Interfaces

Luis F. Nicolas-Alonso et al.

IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING (2015)

Article Computer Science, Artificial Intelligence

A benchmark image database of isolated Bangla handwritten compound characters

Nibaran Das et al.

INTERNATIONAL JOURNAL ON DOCUMENT ANALYSIS AND RECOGNITION (2014)

Article Computer Science, Artificial Intelligence

CMATERdb1: a database of unconstrained handwritten Bangla and Bangla-English mixed script document image

Ram Sarkar et al.

INTERNATIONAL JOURNAL ON DOCUMENT ANALYSIS AND RECOGNITION (2012)

Article Physics, Multidisciplinary

A 'missing' family of classical orthogonal polynomials

Luc Vinet et al.

JOURNAL OF PHYSICS A-MATHEMATICAL AND THEORETICAL (2011)

Article Computer Science, Artificial Intelligence

Random Forests for land cover classification

PO Gislason et al.

PATTERN RECOGNITION LETTERS (2006)

Article Computer Science, Artificial Intelligence

Training support vector machines based on stacked generalization for image classification

CF Tsai

NEUROCOMPUTING (2005)

Article Computer Science, Artificial Intelligence

Double-bagging: combining classifiers by bootstrap aggregation

T Hothorn et al.

PATTERN RECOGNITION (2003)