scholarly journals An Automated Knowledge Mining and Document Classification System with Multi-model Transfer Learning

2021 ◽  
Keyword(s):  
Transfer Learning ◽  
Classification System ◽  
Document Classification ◽  
Knowledge Mining ◽  
Model Transfer ◽  
Automated Knowledge

Output-based transfer learning in genetic programming for document classification

2021 ◽  
Vol 212 ◽  
pp. 106597
Author(s):  
Wenlong Fu ◽  
Bing Xue ◽  
Xiaoying Gao ◽  
Mengjie Zhang
Keyword(s):  
Genetic Programming ◽  
Transfer Learning ◽  
Document Classification

The Animal Classification: An Evaluation of Different Transfer Learning Pipeline

Mekatronika ◽  
2021 ◽  
Vol 3 (1) ◽  
pp. 27-31
Author(s):  
Ken-ji Ee ◽  
Ahmad Fakhri Bin Ab. Nasir ◽  
Anwar P. P. Abdul Majeed ◽  
Mohd Azraai Mohd Razman ◽  
Nur Hafieza Ismail
Keyword(s):  
Transfer Learning ◽  
Classification System ◽  
Cross Validation ◽  
Support Vector ◽  
Svm Classifier ◽  
Average Classification Accuracy ◽  
Validation Technique ◽  
Search Approach ◽  
Fold Cross Validation

The animal classification system is a technology to classify the animal class (type) automatically and useful in many applications. There are many types of learning models applied to this technology recently. Nonetheless, it is worth noting that the extraction of the features and the classification of the animal features is non-trivial, particularly in the deep learning approach for a successful animal classification system. The use of Transfer Learning (TL) has been demonstrated to be a powerful tool in the extraction of essential features. However, the employment of such a method towards animal classification applications are somewhat limited. The present study aims to determine a suitable TL-conventional classifier pipeline for animal classification. The VGG16 and VGG19 were used in extracting features and then coupled with either k-Nearest Neighbour (k-NN) or Support Vector Machine (SVM) classifier. Prior to that, a total of 4000 images were gathered consisting of a total of five classes which are cows, goats, buffalos, dogs, and cats. The data was split into the ratio of 80:20 for train and test. The classifiers hyper parameters are tuned by the Grids Search approach that utilises the five-fold cross-validation technique. It was demonstrated from the study that the best TL pipeline identified is the VGG16 along with an optimised SVM, as it was able to yield an average classification accuracy of 0.975. The findings of the present investigation could facilitate animal classification application, i.e. for monitoring animals in wildlife.

Hindi Text Document Classification System Using SVM and Fuzzy

2018 ◽  
Vol 5 (4) ◽  
pp. 1-31 ◽  
Author(s):  
Shalini Puri ◽  
Satya Prakash Singh
Keyword(s):  
Classification System ◽  
Character Recognition ◽  
Optical Character Recognition ◽  
Document Classification ◽  
Data Availability ◽  
Support Vector ◽  
Handwritten Documents ◽  
Text Document ◽  
Survey Report ◽  
Text Document Classification

In recent years, many information retrieval, character recognition, and feature extraction methodologies in Devanagari and especially in Hindi have been proposed for different domain areas. Due to enormous scanned data availability and to provide an advanced improvement of existing Hindi automated systems beyond optical character recognition, a new idea of Hindi printed and handwritten document classification system using support vector machine and fuzzy logic is introduced. This first pre-processes and then classifies textual imaged documents into predefined categories. With this concept, this article depicts a feasibility study of such systems with the relevance of Hindi, a survey report of statistical measurements of Hindi keywords obtained from different sources, and the inherent challenges found in printed and handwritten documents. The technical reviews are provided and graphically represented to compare many parameters and estimate contents, forms and classifiers used in various existing techniques.

scholarly journals Developing intelligent medical image modality classification system using deep transfer learning and LDA

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Mehdi Hassan ◽  
Safdar Ali ◽  
Hani Alquhayz ◽  
Khushbakht Safdar
Keyword(s):  
Transfer Learning ◽  
Classification System ◽  
Medical Image ◽  
Image Modality

A Fuzzy Matching based Image Classification System for Printed and Handwritten Text Documents

2020 ◽  
Vol 13 (2) ◽  
pp. 155-194
Author(s):  
Shalini Puri ◽  
Satya Prakash Singh
Keyword(s):  
Image Classification ◽  
Classification System ◽  
Word Association ◽  
Computation Time ◽  
Document Classification ◽  
Efficient Manner ◽  
Text Documents ◽  
Handwritten Text ◽  
Fuzzy Matching ◽  
Character Classification

This article proposes a bi-leveled image classification system to classify printed and handwritten English documents into mutually exclusive predefined categories. The proposed system follows the steps of preprocessing, segmentation, feature extraction, and SVM based character classification at level 1, and word association and fuzzy matching based document classification at level 2. The system architecture and its modular structure discuss various task stages and their functionalities. Further, a case study on document classification is discussed to show the internal score computations of words and keywords with fuzzy matching. The experiments on proposed system illustrate that the system achieves promising results in the time-efficient manner and achieves better accuracy with less computation time for printed documents than handwritten ones. Finally, the performance of the proposed system is compared with the existing systems and it is observed that proposed system performs better than many other systems.

scholarly journals User Behavior Analysis of the Open-Ended Document Classification System

2006 ◽  
pp. 1089-1095 ◽  
Author(s):  
Yang Sok Kim ◽  
Byeong Ho Kang ◽  
Young Ju Choi ◽  
SungSik Park ◽  
Gil Cheol Park ◽  
...  
Keyword(s):  
Behavior Analysis ◽  
Classification System ◽  
User Behavior ◽  
Document Classification ◽  
User Behavior Analysis

scholarly journals A Document Classification System Using Modified ECCD and Category Weight for each Document

2012 ◽  
Vol 19B (4) ◽  
pp. 237-242
Author(s):  
Chung-Seok Han ◽  
Sang-Yong Park ◽  
Soo-Won Lee
Keyword(s):  
Classification System ◽  
Document Classification
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